OnlyDataJobs.com

R1 RCM
  • Salt Lake City, UT

Healthcare is at an inflection point. Businesses are quickly evolving, and new technologies are reshaping the healthcare experience. We are R1 - a revenue cycle management company that is passionate about simplifying the patient experience, removing the paperwork hassle and demystifying financial obligations. Our success enables our healthcare clients to focus on what matters most - providing excellent clinical care.

Great people make great companies and we are looking for a great Lead Software Engineer to join our team in Murray, UT. Our approach to building software is disciplined and quality-focused with an emphasis on creativity, craftsmanship and commitment. We are looking for smart, quality-minded individuals who want to be a part of a high functioning, dynamic team. We believe in treating people fairly and your compensation should reflect that. Bring your passion for software engineering and help us disrupt ourselves as we build the next generation healthcare revenue cycle management products and platforms. Now is the right time to join R1!

We are seeking a highly experienced Lead Platform Engineer to join our team. The lead platform engineer will be responsible for building and maintaining real time, scalable, and resilient platform for product teams and developers. This role will be responsible for performing and supervising design, development and implementation of platform services, tools and frameworks. You will work with other software architects, software engineers, quality engineers, and other team members to design and build platform services. You will also provide technical mentorship to software engineers/developers and related groups.      


Responsibilities:


  • Be responsible for designing and developing software solutions with engineering mindset
  • Ensures SOLID principles and standard design patterns are applied across the organization to system architectures and implementations
  • Acts as a technical subject matter expert: helping fellow engineers, demonstrating technical expertise and engage in solving problems
  • Collaborate with stakeholders to help set and document technical standards
  • Evaluates, understands and recommends new technology, languages or development practices that have benefits for implementing.
  • Participate in and/or lead technical development design sessions to formulate technical designs that minimize maintenance, maximize code reuse and minimize testing time

Required Qualifications:


  • 8+ years experience in building scalable, highly available, distributed solutions and services
  • 4+ experience in middleware technologies: Enterprise Service Bus (ESB), Message Queuing (MQ), Routing, Service Orchestration, Integration, Security, API Management, Gateways
  • Significant experience in RESTful API architectures, specifications and implementations
  • Working knowledge of progressive development processes like scrum, XP, Kanban, TDD, BDD and continuous delivery using Jenkins
  • Significant experience working with most of the following technologies/languages: Java, C#, SQL, Python, Ruby, PowerShell, .NET/Core, WebAPI, Web Sockets, Swagger, JSON, REST, GIT
  • Hand-on experience in micro-services architecture, Kubernetes, Docker
  • Familiarity with Middleware platform Software AG WebMethods is a plus
  • Concept understanding on Cloud platforms, BIG Data, Machine Learning is a major plus
  • Knowledge of the healthcare revenue cycle, EMRs, practice management systems, FHIR, HL7 and HIPAA is a major plus


Desired Qualifications:


  • Strong sense of ownership and accountability for delivering well designed, high quality enterprise software on schedule
  • Prolific learner, willing to refactor your understanding of emerging patterns, practices and processes as much as you refactor your code
  • Ability to articulate and illustrate software complexities to others (both technical and non-technical audiences)
  • Friendly attitude and available to mentor others, communicating what you know in an encouraging and humble way
  • Continuous Learner


Working in an evolving healthcare setting, we use our shared expertise to deliver innovative solutions.  Our fast-growing team has opportunities to learn and grow through rewarding interactions, collaboration and the freedom to explore professional interests.


Our associates are given valuable opportunities to contribute, to innovative and create meaningful work that makes an impact in the communities we serve around the world. We also offer a culture of excellence that drives customer success and improves patient care. We believe in giving back to the community and offer a competitive benefits package.  To learn more, visit: r1rcm.com

R1 RCM
  • Salt Lake City, UT

Healthcare is at an inflection point. Businesses are quickly evolving and new technologies are reshaping the healthcare experience. We are R1 a revenue cycle management company that is passionate about simplifying the patient experience, removing the paperwork hassle and demystifying financial obligations. Our success enables our healthcare clients to focus on what matters most providing excellent clinical care.  


Great people make great companies and we are looking for a great Application Architect to join our team Murray, UT. Our approach to building software is disciplined and quality-focused with an emphasis on creativity, craftsmanship and commitment. We are looking for smart, quality-minded individuals who want to be a part of a high functioning, dynamic team. We believe in treating people fairly and your compensation should reflect that. Bring your passion for software engineering and help us disrupt ourselves as we build the next generation healthcare revenue cycle management products and platforms. Now is the right time to join R1!  


R1 is a leading provider of technology-enabled revenue cycle management services which transform and solve challenges across health systems, hospitals and physician practices. Headquartered in Chicago, R1 is publicly-traded organization with employees throughout the US and international locations.


Our mission is to be the one trusted partner to manage revenue, so providers and patients can focus on what matters most. Our priority is to always do what is best for our clients, patients and each other. With our proven and scalable operating model, we complement a healthcare organizations infrastructure, quickly driving sustainable improvements to net patient revenue and cash flows while reducing operating costs and enhancing the patient experience.


As an Application Architect you apply your problem solving, critical thinking and creative design to architect and build software products that achieve technical, business and customer experience goals.


Responsibilities:


  • Plans software architecture through the whole technology stack from customer facing features, to algorithmic innovation, down through APIs and datasets.
  • Ensures that software patterns and SOLID principles are applied across the organization to system architectures and implementations.
  • Works with product management, business stakeholders and architecture leadership to understand software requirements and helps shape, estimate and plan product roadmaps.
  • Plans and implements proof of concept prototypes.
  • Directly contributes to the test-driven development of product features and functionality, identifying risks and authoring integration tests.
  • Manages and organizes build steps, continuous integration systems and staging environments.
  • Mentors other members of the development team.
  • Evaluates, understands and recommends new technology, languages or development practices that have benefits for implementing.


Required Qualifications:


    8+ ye
    • ars experience programming enterprise web products with Visual Studio, C# and the .NET Framework. Robus
    • t knowledge in software architecture principles including message and service busses, object-oriented programming, continuous integration / continuous delivery, SOLID principles, SaaS, microservices, master data management (MDM) and a deep understanding of design patterns and domain-driven design (DDD). Signi
    • ficant experience working with most the following technologies/languages: C#, .NET/Core, WCF, Entity Framework, UML, LINQ, JavaScript, Angular, Vue.js, HTML, CSS, Lucene, REST, WebApi, XML, TSQL, NoSQL, MS SQL Server, ElasticSearch, MongoDB, Node.js, Jenkins, Docker, Kubernetes, NUnit, NuGet, SpecFlow, GIT. Worki
    • ng knowledge of progressive development processes like scrum, XP, kanban, TDD, BDD and continuous delivery. Stron
    • g sense of ownership and accountability for delivering well designed, high quality enterprise software on schedule. Proli
    • fic learner, willing to refactor your understanding of emerging patterns, practices and processes as much as you refactor your code. Abili
    • ty to articulate and illustrate software complexities to others (both technical and non-technical audiences). Frien
    • dly attitude and available to mentor others, communicating what you know in an encouraging and humble way.
    • Experience working with globally distributed teams.
    • Knowledge of the healthcare revenue cycle, EMRs, practice management systems, FHIR, HL7 or HIPAA is a major plus.


Working in an evolving healthcare setting, we use our shared expertise to deliver innovative solutions.  Our fast-growing team has opportunities to learn and grow through rewarding interactions, collaboration and the freedom to explore professional interests.


Our associates are given valuable opportunities to contribute, to innovative and create meaningful work that makes an impact in the communities we serve around the world. We also offer a culture of excellence that drives customer success and improves patient care. We believe in giving back to the community and offer a competitive benefits package.  To learn more, visit: r1rcm.com

Viome
  • Santa Clara, CA

Viome is a wellness as a service company that applies artificial intelligence and machine learning to biological data – e.g., microbiome, transcriptome and metabolome data – to provide personalized recommendations for healthy living. We are an interdisciplinary and passionate team of experts in biochemistry, microbiology, medicine, artificial intelligence and machine learning.

We are seeking an experienced and energetic individual for a Senior Backend Software Engineer position who can work onsite at our Santa Clara, CA, office.

Responsibilities:



  • Collaborate with AI/ML and Bioinformatics engineers to gather specific requirements to design innovative solutions

  • Support the entire application lifecycle (concept, design, test, release, and support)

  • Produce fully functional web applications

  • Develop REST APIs to support queries from web clients

  • Design database schemas to support applications

  • Develop Web Applications for internal scientists and operation teams

  • Architect distributed solutions to help applications scale

  • Write unit and UI tests to identify malfunctions

  • Troubleshoot and debug to optimize performance



Qualifications:



  • BS/MS degree in Computer Science or related field with 7+ years of relevant experience

  • Strong Scala, Core Java, Spring Boot, Microservices, Akka/Play Framework, HTML, CSS, JavaScript, React, Redux, PostgreSQL

  • Advanced knowledge of build scripts and tools such as Ansible, Jenkins, CircleCI, Apache Maven, Gradle, AWS CodeDeploy and similar

  • Proven experience with relational database design, object-oriented programming principles, event-driven design principles, and distributed processing design principles

  • Solid understanding of information security standards and methodologies

  • Familiarity with cloud technologies such as AWS and distributed processing technologies such as MapReduce, Hadoop and Spark is a big plus

  • Previous experience scaling large backends (1M+ users) is a big plus



Viome is 130+ person start-up offering a successful commercial product that has generated high demand. With offices in California, New Mexico, New York, and Washington, we are looking to hire team members capable of working in dynamic environments, who have a positive attitude and enjoy collaboration. If you have the skills and are excited about Viome’s mission, we’d love to hear from you.

TomTom
  • Amsterdam, Netherlands
At TomTom…

You’ll move the world forward. Every day, we create the most innovative mapping and location technologies to shape tomorrow’s mobility for the better.


We are proud to be one team of more than 5,000 unique, curious, passionate problem-solvers spread across the world. We bring out the best in each other. And together, we help the automotive industry, businesses, developers, drivers, citizens and cities move towards a safe, autonomous world that is free of congestion and emissions.

What you’ll do



  • Have a direct impact on our solutions for automated HD mapping, closely interacting with R&D engineers

  • Design, implement and extend our large-scale codebase in Python & TensorFlow, containing both prototyping and production code

  • Implement internal tools and services to make our machine learning solutions work in production



What you’ll need



  • Expert knowledge of Python

  • Hands-on experience with Cloud Computing (AWS, Azure), Microservices, Containers, CI/CD (Jenkins)

  • Experience with writing clean, elegant and maintainable production-level code

  • Ability to participate in the development and delivery cycle, from analysis, through implementation, to deployment and maintenance in production

  • Good understanding of mathematics, geometry, statistics, and software design principles



What’s nice to have



  • Experience with modern C++

  • Experience with deep learning frameworks, e.g., TensorFlow or PyTorch

  • High motivation for getting research products and prototypes into production

  • Being technically proactive, learning about new technologies, judging their value, and promoting their adoption when beneficial

  • Creative problem solver and team player; TomTom is a collaborative environment



Meet your team



We’re Autonomous Driving (AD). Our product unit develops, delivers and maintains products for advanced driver-assistance systems and automated driving – with the TomTom HD Map at the core of our work. Every day, we welcome new challenges, do world-class R&D and apply it using the latest machine learning and computer vision techniques. On our team, you’ll not only play a part in making autonomous driving a reality, you’ll transform the way people commute while boosting safety and comfort for everyone on the road.




Achieve more

We are self-starters who play well with others. Every day, we solve new problems with creativity, meet new people and learn rapidly at our offices around the world. We will invest in your growth and are committed to supporting you. In everything we do, we’re guided by six values: We care, putting our heart into what we do; we build trust (you can count on us); we create – driven to make a difference; we are confident, but don’t boast; we keep it simple, since life is complex enough; and we have fun because life’s too short to be boring. 

After you apply

Our recruitment team will work hard to give you a meaningful experience throughout the process, no matter the outcome. Your application will be screened closely and you can rest assured that all follow-up actions will be thorough, from assessments and interviews through your onboarding.

TomTom is an equal opportunity employer

We celebrate diversity, thrive on each other’s differences and are committed to creating an inclusive environment at our offices around the world. Naturally, we do not discriminate against any employee or job applicant because of race, religion, color, sexual orientation, gender, gender identity or expression, marital status, disability, national origin, genetics, or age.

Ready to move the world forward?

Jacobs
  • Houston, TX

FAST GN&C Modeling and Simulation Engineer


Are you passionate about human space exploration and understanding the origins of the universe? Are you seeking a position that will offer you the opportunity to work with a dynamic and diverse team where you will make a difference? If so, we need you.  


We are excited about what we do, and we need you on our team as we take on new challenges for Johnson Space Center (JSC/NASAs pursuits in deep space exploration.


Bring your GN&C modeling and simulation skills to the Flight Analysis and Simulation (FAST) tool. FAST is a generic 3- to 6-DOF multi-body ascent, aerocapture, entry, descent, and landing (A2EDL) simulation code based in the state-of-the-art, object-oriented Trick simulation environment. FAST is currently used to develop Orion trajectory designs, GN&C algorithms, and validate their implementation in flight software. FAST requires improvements to provide flight performance analysis, algorithm development, and flight software contributions for future programs including the Commercial Crew Program, Orion, and missions to the Moon and Mars.

As a FAST GN&C Modeling and Simulation Engineer you will:

    • Implement improvements and enhance FAST capabilities
      • Improve the usability of the FAST user interface to simplify prototyping of algorithms and models
      • Enhance 3- and 6-DOF powered ascent capabilities for lunar and Mars.
      • Create an improved generic optimization capability
      • Incorporate new vehicle, environment, and aerodynamic models for Commercial Crew and lunar/Mars
      • Implement heritage and new flight guidance algorithms, control systems, and navigation models
      • Perform and document model/simulation verification and validation.
    • Achieve Class C certification for use in developing/verifying flight software
      • Expand unit testing and improve model documentation.
    • Improve on-boarding of new users
      • Create a detailed users guide with example cases of historical vehicles.
    • Directly interact with the NASA customers, along with various NASA support contractors, during technical meetings and working groups.
    • Perform other duties as required.


Required Education/Experience/Skills:

    • BS degree in engineering from an accredited engineering school
    • A minimum of five (5) years of related engineering experience, or an MS degree from an accredited engineering school and a minimum of four (4) years of related engineering experience, or Ph.D. from an accredited engineering school and a minimum of zero (0) years of related experience
    • Expertise in C/C++, Linux, and Python
    • Experience with the development, verification and validation of 6-DOF GN&C spacecraft simulations
    • Ability to apply knowledge and experience towards timely completion of technical products and services
    • Excellent communication skills and the ability to work in a team environment consisting of NASA civil servants and various contractor employees
    • Strong leadership skills


Preferences:

    • MS degree in Aerospace Engineering with an emphasis in GN&C principles and orbital/flight mechanics
    • Experience with:
      • JSC TRICK Simulation Environment
      • JEOD (JSC Engineering Orbital Dynamics) modeling package
      • LaTeX
    • Previous experience with simulation visualization and graphics packages, particularly JSC EDGE or DOUG
    • Familiarity with MATLAB/Simulink
    • Experience in product delivery and management utilizing source code management tools such as Jenkins and Git/GitLab


If you have the qualifications and passion for this amazing opportunity please send your updated resume directly to Kim Cordray at, Kimberly.Cordray@jacobs.com


    • Must be a U.S. Citizen and successfully complete a U.S. government background investigation.
    • Management has the prerogative to select at any level for which this position has been advertised.

For more information on our partnership with NASA at Johnson Space Center, please visit http://www.wehavespaceforyou.com


Essential Functions

Work Environment
Generally an office environment, but can involve inside or outside work depending on task.

Physical Requirements
Work may involve sitting or standing for extended periods (90% of time). May require lifting and carrying up to 25 lbs (5% of time).

Equipment and Machines
Standard office equipment (PC, telephone, printer, etc.).

Attendance
Regular attendance in accordance with established work schedule is critical. Ability to work outside normal schedule and adjust schedule to meet peak periods and surge requirements when required.

Other Essential Functions
Must be able to work in a team atmosphere. Must put forward a professional behavior that enhances productivity and promotes teamwork and cooperation. Grooming and dress must be appropriate for the position and must not impose a safety risk/hazard to the employee or others.

Webtrekk GmbH
  • Berlin, Deutschland
Your responsibilities:

In this role, you will set up your full-fledged research and development team of developers and data science engineers. You will evaluate and choose appropriate technologies and develop products that are powered by Artificial Intelligence and Machine Learning



  • Fast pace development of experimental prototypes, POCs and products for our >400 customers

  • Manage fast feedback cycles, adopt learnings and feedbacks and ultimately deliver AI powered products

  • You will develop new and optimise existing components always with an eye on scalability, performance and maintenance

  • Organize and lead team planning meetings and provide advice, clarification and guidance during the execution of sprints

  • Lead your teams' technical vision and drive the design and development of new innovative products and services from the technical side

  • Lead discussions with the team and management to define best practices and approaches

  • Set goals, objectives and priorities. Mentor team members and provide guidance by regular performance reviews.




The assets you bring to the team:


  • Hands on experience in agile software development on all levels based on profound technical understanding

  • Relevant experience in managing a team of software developers in an agile environment

  • At least 3 years of hands-on experience with developing in Frontend Technologies like Angular or React

  • Knowledge of backend technologies such as Java, Python or Scala are a big plus

  • Experience with distributed systems based on RESTful services

  • DevOps mentality and practical experience with tools for build and deployment automation (like Maven, Jenkins, Ansible, Docker)

  • Team and project-oriented leader with excellent problem solving and interpersonal skills

  • Excellent communication, coaching and conflict management skills as well as a strong assertiveness

  • Strong analytical capability, discipline, commitment and enthusiasm

  • Fluent in English, German language skills are a big plus




What we offer:


  • Prospect: We are a continuously growing team with experts in the most future-oriented fields of customer intelligence. We are dealing with real big data scenarios and data from various business models and industries. Apart from interesting tasks we offer you considerable freedom for your ideas and perspectives for the development of your professional and management skills.

  • Team oriented atmosphere: Our culture embraces integrity, team work and innovation. Our employees value the friendly atmosphere that is the most powerful driver within our company.

  • Goodies: Individual trainings, company tickets, team events, table soccer, fresh fruits and a sunny roof terrace.

  • TechCulture: Work with experienced developers who share the ambition for well-written and clean code. Choose your hardware, OS and IDE. Bring in your own ideas, work with open source and have fun at product demos, hackathons and meetups.

Citizens Advice
  • London, UK
  • Salary: £40k - 45k

As a Database engineer in the DevOps team here at Citizens Advice you will help us develop and implement our data strategy. You will have the opportunity to work with both core database technologies and big data solutions.


Past


Starting from scratch, we have built a deep tech-stack with AWS services at its core. We created a new CRM system, migrated a huge amount of data to AWS Aurora PG and used AWS RDS to run some of our business critical databases.


You will have gained a solid background and in-depth knowledge of AWS RDS, SQL/Admin against DBMS's such as PostgreSql / MySQL / SQL Server, Dynamo / Aurora. You will have dealt with Data Warehousing, ETL, DB Mirroring/Replication, and DB Security Mechanisms & Techniques.


Present


We use AWS RDS including Aurora as the standard DB implementation for our applications. We parse data in S3 using Spark jobs and we are planning to implement a data lake solution in AWS.


Our tools and technologies include:



  • Postgres on AWS RDS

  • SQL Server for our Data Warehouse

  • Liquibase for managing the DW schema

  • Jenkins 2 for task automation

  • Spark / Parquet / AWS Glue for parsing raw data

  • Docker / docker-compose for local testing


You will be developing, supporting and maintaining automation tools to drive database, reporting and maintenance tasks.


As part of our internal engineering platform offering, R&D time will give you the opportunity to develop POC solutions to integrate with the rest of the business.


Future


You will seek continuous improvement and implement solutions to help Citizens Advice deliver digital products better and quicker.


You will be helping us implement a data lake solution to improve operations and to offer innovative services.


You will have dedicated investment time at Citizens Advice to learn new skills, technologies, research topics or work on tools that make this possible.

Man AHL
  • London, UK

The Role


As a Quant Platform Developer at AHL you will be building the tools, frameworks, libraries and applications which power our Quantitative Research and Systematic Trading. This includes responsibility for the continued success of “Raptor”, our in-house Quant Platform, next generation Data Engineering, and evolution of our production Trading System as we continually expand the markets and types of assets we trade, and the styles in which we trade them. Your challenges will be varied and might involve building new high performance data acquisition and processing pipelines, cluster-computing solutions, numerical algorithms, position management systems, visualisation and reporting tools, operational user interfaces, continuous build systems and other developer productivity tools.


The Team


Quant Platform Developers at AHL are all part of our broader technology team, members of a group of over sixty individuals representing eighteen nationalities. We have varied backgrounds including Computer Science, Mathematics, Physics, Engineering – even Classics - but what unifies us is a passion for technology and writing high-quality code.



Our developers are organised into small cross-functional teams, with our engineering roles broadly of two kinds: “Quant Platform Developers” otherwise known as our “Core Techs”, and “Quant Developers” which we often refer to as “Sector Techs”. We use the term “Sector Tech” because some of our teams are aligned with a particular asset class or market sector. People often rotate teams in order to learn more about our system, as well as find the position that best matches their interests.


Our Technology


Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. For storage, we rely heavily on MongoDB and Oracle.



We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker for containerisation, OpenStack for our private cloud, Ansible for architecture automation, and HipChat for internal communication. But our technology list is never static: we constantly evaluate new tools and libraries.


Working Here


AHL has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do.  We are actively engaged with the broader technology community.



  • We host and sponsor London’s PyData and Machine Learning Meetups

  • We open-source some of our technology. See https://github.com/manahl

  • We regularly talk at leading industry conferences, and tweet about relevant technology and how we’re using it. See @manahltech



We’re fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work.



  • We organise regular social events, everything from photography through climbing, karting, wine tasting and monthly team lunches

  • We have annual away days and off-sites for the whole team

  • We have a canteen with a daily allowance for breakfast and lunch, and an on-site bar for in the evening

  • As well as PC’s and Macs, in our office you’ll also find numerous pieces of cool tech such as light cubes and 3D printers, guitars, ping-pong and table-football, and a piano.



We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications.


Technology and Business Skills


At AHL we strive to hire only the brightest and best and most highly skilled and passionate technologists.



Essential



  • Exceptional technology skills; recognised by your peers as an expert in your domain

  • A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches

  • Expert knowledge in one or more programming languages, preferably Python, Java and/or C/C++

  • Proficient on Linux platforms with knowledge of various scripting languages

  • Strong knowledge of one or more relevant database technologies e.g. Oracle, MongoDB

  • Proficient with a range of open source frameworks and development tools e.g. NumPy/SciPy/Pandas, Pyramid, AngularJS, React

  • Familiarity with a variety of programming styles (e.g. OO, functional) and in-depth knowledge of design patterns.



Advantageous



  • An excellent understanding of financial markets and instruments

  • Experience of front office software and/or trading systems development e.g. in a hedge fund or investment bank

  • Expertise in building distributed systems with service-based or event-driven architectures, and concurrent processing

  • A knowledge of modern practices for data engineering and stream processing

  • An understanding of financial market data collection and processing

  • Experience of web based development and visualisation technology for portraying large and complex data sets and relationships

  • Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms.


Personal Attributes



  • Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university

  • Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others

  • Demonstrable passion for technology e.g. personal projects, open-source involvement

  • Intellectually robust with a keenly analytic approach to problem solving

  • Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities

  • Focused on delivering value to the business with relentless efforts to improve process

  • Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business people alike

  • Confident communicator; able to argue a point concisely and deal positively with conflicting views.

Comcast
  • Philadelphia, PA

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.

Job Summary:

Comcast Interactive Media (CIM) is seeking a Software Engineering Senior Manager to join our Digital Home Application Engineering team.  This group is responsible for customer-facing mobile, web and set-top box application development for Comcast’s Home Security, Home Network Management and Internet of Things products.  This includes the native iOS and Android Xfinity Home applications in the iTunes App and Google Play stores, a native Android application on the Xfinity Home Hub (Touch Screen), a Polymer Web Component based web portal, and a Java native X1 Set Top Box application. We are passionate about our products, our engineering, and our people! #DigitalHome

In this role, you will directly manage 5-10 people including full-time-employees and contractors of Mobile Software Engineers and Test Engineers.  These Engineers range in skill-level and experience from Principal to Junior and Entry-Level.  You will collaborate with cross-functional teams (management, web, mobile and API developers, UX designers, test engineers, operations engineers, product and business managers) to lead project initiatives for Digital Home applications.  You must be a strong technical leader, an independent, critical and analytic thinker, have excellent communication skills and rapidly adapt to changing business and customer demands.

REQUIREMENTS:

- 1+ years managing software engineers, setting goals and developing career plans

- 4+ years professionally developing native mobile applications

- Excellent interpersonal and relationship-building skills

- Knowledge of Software Development Life Cycle and Agile methodologies

- Knowledge of Continuous Integration and Deployment tools (Jenkins, TeamCity)

- Fundamental understanding of HTTP protocol and caching

- Experience with HTTP and RESTful web services

- A strong sense of ownership and responsibility for code quality that follows best practices

- A strong passion for learning and adapting to new technologies

CORE RESPONSIBILITIES:
 

- Directly managing multiple Engineering teams (approx. 5-10 Engineers including full time employees and contractors)

- Providing regular feedback and coaching regarding both job performance and career development

- Directing the development and release of multiple project across Digital Home mobile applications

- Providing guidance to engineering teams and other departments in identifying product and technical requirements, contributing to functional strategy development

- Self-Development via an awareness of one’s strengths and weaknesses, and openness to others viewpoints

- Demonstrating interest in others, encourages adaptive development and promotes a sustainable team culture.

- Regular, consistent and punctual attendance. Must be able to work
nights and weekends, variable schedule(s) as necessary.
- Other duties and responsibilities as assigned.

Comcast is an EOE/Veterans/Disabled/LGBT employer

Comcast
  • Philadelphia, PA

Comcast's Technology & Product organization works at the intersection of media and technology. Our innovative teams are continually developing and delivering products that transform the customer experience. From creating apps like TVGo to new features such as the Talking Guide on the X1 platform, we work every day to make a positive impact through innovation in the pursuit of building amazing products that are enjoyable, easy to use and accessible across all platforms. The team also develops and supports our evolving network architecture, including next-generation consumer systems and technologies, infrastructure and engineering, network integration and management tools, and technical standards.

As a Data Science Engineer in Comcastdx, you will research, model, develop, support data pipelines and deliver insights for key strategic initiatives. You will develop or utilize complex programmatic and quantitative methods to find patterns and relationships in data sets; lead statistical modeling, or other data-driven problem-solving analysis to address novel or abstract business operation questions; and incorporate insights and findings into a range of products.

Assist in design and development of collection and enrichment components focused on quality, timeliness, scale and reliability. Work on real-time data stores and a massive historical data store using best-of-breed and industry leading technology.

Responsibilities:

-Develop and support data pipelines

-Analyze massive amounts of data both in real-time and batch processing utilizing Spark, Kafka, and AWS technologies such as Kinesis, S3, ElastiSearch, and Lambda

-Create detailed write-ups of processes used, logic applied, and methodologies used for creation, validation, analysis, and visualizations. Write ups shall occur initially, within a week of when process is created, and updated in writing when changes occur.

-Prototype ideas for new ML/AI tools, products and services

-Centralize data collection and synthesis, including survey data, enabling strategic and predictive analytics to guide business decisions

-Provide expert and professional data analysis to implement effective and innovative solutions meshing disparate data types to discover insights and trends.

-Employ rigorous continuous delivery practices managed under an agile software development approach

-Support DevOps practices to deploy and operate our systems

-Automate and streamline our operations and processes

-Troubleshoot and resolve issues in our development, test and production environments

Here are some of the specific technologies and concepts we use:

-Spark Core and Spark Streaming

-Machine learning techniques and algorithms

-Java, Scala, Python, R

-Artificial Intelligence

-AWS services including EMR, S3, Lambda, ElasticSearch

-Predictive Analytics

-Tableau, Kibana

-Git, Maven, Jenkins

-Linux

-Kafka

-Hadoop (HDFS, YARN)

Skills & Requirements:

-5-8 years of Java experience, Scala and Python experience a plus

-3+ years of experience as an analyst, data scientist, or related quantitative role.

-3+ years of relevant quantitative and qualitative research and analytics experience. Solid knowledge of statistical techniques.

-Bachelors in Statistics, Math, Engineering, Computer Science, Statistics or related discipline. Master's Degree preferred.

-Experience in software development of large-scale distributed systems including proven track record of delivering backend systems that participate in a complex ecosystem

-Experience with more advanced modeling techniques (eg ML.)

-Distinctive problem solving and analysis skills and impeccable business judgement.

-Experience working with imperfect data sets that, at times, will require improvements to process, definition and collection

-Experience with real-time data pipelines and components including Kafka, Spark Streaming

-Proficient in Unix/Linux environments

-Test-driven development/test automation, continuous integration, and deployment automation

-Excellent communicator, able to analyze and clearly articulate complex issues and technologies understandably and engagingly

-Team player is a must

-Great design and problem-solving skills

-Adaptable, proactive and willing to take ownership

-Attention to detail and high level of commitment

-Thrives in a fast-paced agile environment

About Comcastdx:

Comcastdxis a result driven big data engineering team responsible for delivery of multi-tenant data infrastructure and platforms necessary to support our data-driven culture and organization.dxhas an overarching objective to gather, organize, and make sense of Comcast data with intention to reveal business and operational insight, discover actionable intelligence, enable experimentation, empower users, and delight our stakeholders. Members of thedxteam define and leverage industry best practices, work on large-scale data problems, design and develop resilient and highly robust distributed data organizing and processing systems and pipelines as well as research, engineer, and apply data science and machine intelligence disciplines.

Comcast is an EOE/Veterans/Disabled/LGBT employer

Comcast
  • Philadelphia, PA

Comcast's Technology & Product organization works at the intersection of media and technology. Our innovative teams are continually developing and delivering products that transform the customer experience. From creating apps like TVGo to new features such as the Talking Guide on the X1 platform, we work every day to make a positive impact through innovation in the pursuit of building amazing products that are enjoyable, easy to use and accessible across all platforms. The team also develops and supports our evolving network architecture, including next-generation consumer systems and technologies, infrastructure and engineering, network integration and management tools, and technical standards.

As a Data Science Engineer in Comcastdx, you will research, model, develop, support data pipelines and deliver insights for key strategic initiatives. You will develop or utilize complex programmatic and quantitative methods to find patterns and relationships in data sets; lead statistical modeling, or other data-driven problem-solving analysis to address novel or abstract business operation questions; and incorporate insights and findings into a range of products.

Assist in design and development of collection and enrichment components focused on quality, timeliness, scale and reliability. Work on real-time data stores and a massive historical data store using best-of-breed and industry leading technology.

Responsibilities:

-Develop and support data pipelines

-Analyze massive amounts of data both in real-time and batch processing utilizing Spark, Kafka, and AWS technologies such as Kinesis, S3, ElastiSearch, and Lambda

-Create detailed write-ups of processes used, logic applied, and methodologies used for creation, validation, analysis, and visualizations. Write ups shall occur initially, within a week of when process is created, and updated in writing when changes occur.

-Prototype ideas for new ML/AI tools, products and services

-Centralize data collection and synthesis, including survey data, enabling strategic and predictive analytics to guide business decisions

-Provide expert and professional data analysis to implement effective and innovative solutions meshing disparate data types to discover insights and trends.

-Employ rigorous continuous delivery practices managed under an agile software development approach

-Support DevOps practices to deploy and operate our systems

-Automate and streamline our operations and processes

-Troubleshoot and resolve issues in our development, test and production environments

Here are some of the specific technologies and concepts we use:

-Spark Core and Spark Streaming

-Machine learning techniques and algorithms

-Java, Scala, Python, R

-Artificial Intelligence

-AWS services including EMR, S3, Lambda, ElasticSearch

-Predictive Analytics

-Tableau, Kibana

-Git, Maven, Jenkins

-Linux

-Kafka

-Hadoop (HDFS, YARN)

Skills & Requirements:

-3-5years of Java experience, Scala and Python experience a plus

-2+ years of experience as an analyst, data scientist, or related quantitative role.

-2+ years of relevant quantitative and qualitative research and analytics experience. Solid knowledge of statistical techniques.

-Bachelors in Statistics, Math, Engineering, Computer Science, Statistics or related discipline. Master's Degree preferred.

-Experience in software development of large-scale distributed systems including proven track record of delivering backend systems that participate in a complex ecosystem

-Experience with more advanced modeling techniques (eg ML.)

-Distinctive problem solving and analysis skills and impeccable business judgement.

-Experience working with imperfect data sets that, at times, will require improvements to process, definition and collection

-Experience with real-time data pipelines and components including Kafka, Spark Streaming

-Proficient in Unix/Linux environments

-Test-driven development/test automation, continuous integration, and deployment automation

-Excellent communicator, able to analyze and clearly articulate complex issues and technologies understandably and engagingly

-Team player is a must

-Great design and problem-solving skills

-Adaptable, proactive and willing to take ownership

-Attention to detail and high level of commitment

-Thrives in a fast-paced agile environment

About Comcastdx:

Comcastdxis a result driven big data engineering team responsible for delivery of multi-tenant data infrastructure and platforms necessary to support our data-driven culture and organization.dxhas an overarching objective to gather, organize, and make sense of Comcast data with intention to reveal business and operational insight, discover actionable intelligence, enable experimentation, empower users, and delight our stakeholders. Members of thedxteam define and leverage industry best practices, work on large-scale data problems, design and develop resilient and highly robust distributed data organizing and processing systems and pipelines as well as research, engineer, and apply data science and machine intelligence disciplines.

Comcast is an EOE/Veterans/Disabled/LGBT employer

FlixBus
  • Berlin, Germany

Your Tasks – Paint the world green



  • Holistic cloud-based infrastructure automation

  • Distributed data processing clusters as well as data streaming platforms based on Kafka, Flink and Spark

  • Microservice platforms based on Docker

  • Development infrastructure and QA automation

  • Continuous Integration/Delivery/Deployment


Your Profile – Ready to hop on board



  • Experience in building and operating complex infrastructure

  • Expert-level: Linux, System Administration

  • Experience with Cloud Services, Expert-Level with either AWS or GCP  

  • Experience server and operation-system-level virtualization is a strong plus, in particular practical experience with Docker and cluster technologies like Kubernetes, AWS ECS, OpenShift

  • Mindset: "Automate Everything", "Infrastructure as Code", "Pipelines as Code", "Everything as Code"

  • Hands-on experience with "Infrastructure as Code" tools: TerraForm, CloudFormation, Packer

  • Experience with a provisioning / configuration management tools (Ansible, Chef, Puppet, Salt)

  • Experience designing, building and integrating systems for instrumentation, metrics/log collection, and monitoring: CloudWatch, Prometheus, Grafana, DataDog, ELK

  • At least basic knowledge in designing and implementing Service Level Agreements

  • Solid knowledge of Network and general Security Engineering

  • At least basic experience with systems and approaches for Test, Build and Deployment automation (CI/CD): Jenkins, TravisCI, Bamboo

  • At least basic hands-on DBA experience, experience with data backup and recovery

  • Experience with JVM-based build automation is a plus: Maven, Gradle, Nexus, JFrog Artifactory

Pyramid Consulting, Inc
  • Atlanta, GA

Job Title: Tableau Engineer

Duration: 6-12 Months+ (potential to go perm)

Location: Atlanta, GA (30328) - Onsite

Notes from Manager:

We need a data analyst who knows Tableau, scripting (JSON, Python), Altreyx API, AWS, Analytics.

Description

The Tableau Software engineer will be a key resource to work across our Software Engineering BI/Analytics stack to ensure stability, scalability, and the delivery of valuable BI & Analytics solutions for our leadership teams and business partners. Keys to this position are the ability to excel in identification of problems or analytic gaps and mapping and implementing pragmatic solutions. An excellent blend of analytical, technical and communication skills in a team based environment are essential for this role.

Tools we use: Tableau, Business Objects, AngularJS, OBIEE, Cognos, AWS, Opinion Lab, JavaScript, Python, Jaspersoft, Alteryx and R packages, Spark, Kafka, Scala, Oracle

Your Role:

·         Able to design, build, maintain & deploy complex reports in Tableau

·         Experience integrating Tableau into another application or native platforms is a plus

·         Expertise in Data Visualization including effective communication, appropriate chart types, and best practices.

·         Knowledge of best practices and experience optimizing Tableau for performance.

·         Experience reverse engineering and revising Tableau Workbooks created by other developers.

·         Understand basic statistical routines (mean, percentiles, significance, correlations) with ability to apply in data analysis

·         Able to turn ideas into creative & statistically sound decision support solutions

Education and Experience:

·         Bachelors degree in Computer Science or equivalent work experience

·         3-5 Years of hands on experience in data warehousing & BI technologies (Tableau/OBIEE/Business Objects/Cognos)

·         Three or more years of experience in developing reports in Tableau

·         Have good understanding of Tableau architecture, design, development and end user experience.

What We Look For:

·         Very proficient in working with large Databases in Oracle & Big Data technologies will be a plus.

·         Deep understanding & working experience of data warehouse and data mart concepts.

·         Understanding of Alteryx and R packages is a plus

·         Experience designing and implementing high volume data processing pipelines, using tools such as Spark and Kafka.

·         Experience with Scala, Java or Python and a working knowledge of AWS technologies such as GLUE, EMR, Kinesis and Redshift preferred.

·         Excellent knowledge with Amazon AWS technologies, with a focus on highly scalable cloud-native architectural patterns, especially EMR, Kinesis, and Redshift

·         Experience with software development tools and build systems such as Jenkins

GrubHub Seamless
  • New York, NY

Got a taste for something new?

We’re Grubhub, the nation’s leading online and mobile food ordering company. Since 2004 we’ve been connecting hungry diners to the local restaurants they love. We’re moving eating forward with no signs of slowing down.

With more than 90,000 restaurants and over 15.6 million diners across 1,700 U.S. cities and London, we’re delivering like never before. Incredible tech is our bread and butter, but amazing people are our secret ingredient. Rigorously analytical and customer-obsessed, our employees develop the fresh ideas and brilliant programs that keep our brands going and growing.

Long story short, keeping our people happy, challenged and well-fed is priority one. Interested? Let’s talk. We’re eager to show you what we bring to the table.

About the Opportunity: 

Senior Site Reliability Engineers are embedded in Big Data specific Dev teams to focus on the operational aspects of our services, and our SREs run their respective products and services from conception to continuous operation.  We're looking for engineers who want to be a part of developing infrastructure software, maintaining it and scaling. If you enjoy focusing on reliability, performance, capacity planning, and the automation everything, you’d probably like this position.





Some Challenges You’ll Tackle





TOOLS OUR SRE TEAM WORKS WITH:



  • Python – our primary infrastructure language

  • Cassandra

  • Docker (in production!)

  • Splunk, Spark, Hadoop, and PrestoDB

  • AWS

  • Python and Fabric for automation and our CD pipeline

  • Jenkins for builds and task execution

  • Linux (CentOS and Ubuntu)

  • DataDog for metrics and alerting

  • Puppet





You Should Have






  • Experience in AWS services like Kinesis, IAM, EMR, Redshift, and S3

  • Experience managing Linux systems

  • Configuration management tool experiences like Puppet, Chef, or Ansible

  • Continuous integration, testing, and deployment using Git, Jenkins, Jenkins DSL

  • Exceptional communication and troubleshooting skills.


NICE TO HAVE:



  • Python or Java / Scala development experience

  • Bonus points for deploying/operating large-ish Hadoop clusters in AWS/GCP and use of EMR, DC/OS, Dataproc.

  • Experience in Streaming data platforms, (Spark streaming, Kafka)

  • Experience developing solutions leveraging Docker

Accenture
  • San Diego, CA
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture, and make delivering innovative work part of your extraordinary career.
As part of our Data Business Group, you will lead technology innovation for our clients through robust delivery of world-class solutions. You will build better software better! There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a highly collaborative and growing network of technology and data experts, who are taking on todays biggest, most complex business challenges using the latest data and analytics technologies. We will nurture your talent in an inclusive culture that values diversity. You will have an opportunity to work in roles such as Data Scientist, Data Engineer, or Chief Data Officer covering all aspects of Data including Data Management, Data Governance, Data Intelligence, Knowledge Graphs, and IoT. Come grow your career in Technology at Accenture!
People in our Client Delivery & Operations career track drive delivery and capability excellence through the design, development and/or delivery of a solution, service, capability or offering. They grow into delivery-focused roles, and can progress within their current role, laterally or upward.
Business & Technology Integration professionals advise upon, design, develop and/or deliver technology solutions that support best practice business changes
The Bus&Industry Integration Assoc Mgr aligning technology with business strategy and goals they working directly with the client gathering requirements to analyze, design and/or implement technology best practice business changes. They are sought out as experts internally and externally for their deep functional or industry expertise, domain knowledge, or offering expertise. They enhance Accenture's marketplace reputation.
Job Description
Data and Analytics professionals define strategies, develop and deliver solutions that enable the collection, processing and management of information from one or more sources, and the subsequent delivery of information to audiences in support of key business processes.
Data Management professionals define strategies and develop/deliver solutions and processes for managing enterprise-wide data throughout the data lifecycle from capture to processing to usage across all layers of the application architecture.
A professional at this position level within Accenture has the following responsibilities:
Identifies, assesses and solves complex business problems for area of responsibility, where analysis of situations or data requires an in-depth evaluation of variable factors.
Closely follows the strategic direction set by senior management when establishing near term goals.
Interacts with senior management at a client and/or within Accentureon matters where they may need to gain acceptance on an alternate approach.
Has some latitude in decision-making. Acts independently to determine methods and procedures on new assignments.
Decisions have a major day to day impact on area of responsibility.
Manages large - medium sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.
Basic Qualifications
    • Minimum of 3 plus years of hands-on technical experience implementing Big Data solutions utilizing Hadoop or other Data Science and Analytics platforms.
    • Minimum of 3 plus years of experience with a full life cycle development from functional design to deployment
    • Minimum 2 plus years of hands-on technical experience with delivering Big Data Solutions in the cloud with AWS or Azure
    • Minimum 3 plus years of hands-on technical experience in developing solutions utilizing at least two of the following:
    • Kafka based streaming services
    • R Studio
    • Cassandra , MongoDB
    • MapReduce, Pig, Hive
    • Scala, Spark
    • knowledge on Jenkins, Chef, Puppet
  • Bachelor's degree or equivalent years of work experience
  • Ability to travel 100%, Monday- Thursday
Professional Skill Requirements
    • Proven ability to build, manage and foster a team-oriented environment
    • Proven ability to work creatively and analytically in a problem-solving environment
    • Desire to work in an information systems environment
    • Excellent communication (written and oral) and interpersonal skills
    • Excellent leadership and management skills
All of our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You'll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Accenture is a federal contractor and an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture
  • Atlanta, GA
Are you ready to step up to the New and take your technology expertise to the next level?
As part of our Data Business Group, you will lead technology innovation for our clients through robust delivery of world-class solutions. You will build better software better! There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a highly collaborative and growing network of technology and data experts, who are taking on todays biggest, most complex business challenges using the latest data and analytics technologies. We will nurture your talent in an inclusive culture that values diversity. You will have an opportunity to work in roles such as Data Scientist, Data Engineer, or Chief Data Officer covering all aspects of Data including Data Management, Data Governance, Data Intelligence, Knowledge Graphs, and IoT. Come grow your career in Technology at Accenture!
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture, and make delivering innovative work part of your extraordinary career.
People in our Client Delivery & Operations career track drive delivery and capability excellence through the design, development and/or delivery of a solution, service, capability or offering. They grow into delivery-focused roles, and can progress within their current role, laterally or upward.
As part of our Advanced Technology & Architecture (AT&A) practice, you will lead technology innovation for our clients through robust delivery of world-class solutions. You will build better software better! There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a growing network of technology experts who are highly collaborative taking on todays biggest, most complex business challenges. We will nurture your talent in an inclusive culture that values diversity. Come grow your career in technology at Accenture!
Job Description
Data and Analytics professionals define strategies, develop and deliver solutions that enable the collection, processing and management of information from one or more sources, and the subsequent delivery of information to audiences in support of key business processes.
    • Produce clean, standards based, modern code with an emphasis on advocacy toward end-users to produce high quality software designs that are well-documented.
    • Demonstrate an understanding of technology and digital frameworks in the context of data integration.
    • Ensure code and design quality through the execution of test plans and assist in development of standards, methodology and repeatable processes, working closely with internal and external design, business, and technical counterparts.
Big Data professionals develop deep next generation Analytics skills to support Accenture's data and analytics agendas, including skills such as Data Modeling, Business Intelligence, and Data Management.
A professional at this position level within Accenture has the following responsibilities:
    • Utilizes existing methods and procedures to create designs within the proposed solution to solve business problems.
    • Understands the strategic direction set by senior management as it relates to team goals.
    • Contributes to design of solution, executes development of design, and seeks guidance on complex technical challenges where necessary.
    • Primary upward interaction is with direct supervisor.
    • May interact with peers, client counterparts and/or management levels within Accenture.
    • Understands methods and procedures on new assignments and executes deliverables with guidance as needed.
    • May interact with peers and/or management levels at a client and/or within Accenture.
    • Determines methods and procedures on new assignments with guidance .
    • Decisions often impact the team in which they reside.
    • Manages small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.
Basic Qualifications
    • Minimum 2 plus years of hands-on technical experience implementing or supporting Big Data solutions utilizing Hadoop.
      Expe
    • rience developing solutions utilizing at least two of the following: Kaf
        k
      • a based streaming services
      • R Studio
      • Cassandra, MongoDB
      • MapReduce, Pig, Hive
      • Scala, Spark
      • Knowledge on Jenkins, Chef, Puppet
Preferred Qualifications
    • Hands-on technical experience utilizing Python
    • Full life cycle development experience
    • Experience with delivering Big Data Solutions in the cloud with AWS or Azure
    • Ability to configure and support API and OpenSource integrations
    • Experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
    • Experience with DevOps support
    • Designing ingestion, low latency, visualization clusters to sustain data loads and meet business and IT expectations
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Accenture is a Federal Contractor and an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Accenture
  • Raleigh, NC
Are you ready to step up to the New and take your technology expertise to the next level?
As part of our Data Business Group, you will lead technology innovation for our clients through robust delivery of world-class solutions. You will build better software better! There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a highly collaborative and growing network of technology and data experts, who are taking on todays biggest, most complex business challenges using the latest data and analytics technologies. We will nurture your talent in an inclusive culture that values diversity. You will have an opportunity to work in roles such as Data Scientist, Data Engineer, or Chief Data Officer covering all aspects of Data including Data Management, Data Governance, Data Intelligence, Knowledge Graphs, and IoT. Come grow your career in Technology at Accenture!
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture, and make delivering innovative work part of your extraordinary career.
People in our Client Delivery & Operations career track drive delivery and capability excellence through the design, development and/or delivery of a solution, service, capability or offering. They grow into delivery-focused roles, and can progress within their current role, laterally or upward.
As part of our Advanced Technology & Architecture (AT&A) practice, you will lead technology innovation for our clients through robust delivery of world-class solutions. You will build better software better! There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a growing network of technology experts who are highly collaborative taking on todays biggest, most complex business challenges. We will nurture your talent in an inclusive culture that values diversity. Come grow your career in technology at Accenture!
Job Description
Data and Analytics professionals define strategies, develop and deliver solutions that enable the collection, processing and management of information from one or more sources, and the subsequent delivery of information to audiences in support of key business processes.
    • Produce clean, standards based, modern code with an emphasis on advocacy toward end-users to produce high quality software designs that are well-documented.
    • Demonstrate an understanding of technology and digital frameworks in the context of data integration.
    • Ensure code and design quality through the execution of test plans and assist in development of standards, methodology and repeatable processes, working closely with internal and external design, business, and technical counterparts.
Big Data professionals develop deep next generation Analytics skills to support Accenture's data and analytics agendas, including skills such as Data Modeling, Business Intelligence, and Data Management.
A professional at this position level within Accenture has the following responsibilities:
    • Utilizes existing methods and procedures to create designs within the proposed solution to solve business problems.
    • Understands the strategic direction set by senior management as it relates to team goals.
    • Contributes to design of solution, executes development of design, and seeks guidance on complex technical challenges where necessary.
    • Primary upward interaction is with direct supervisor.
    • May interact with peers, client counterparts and/or management levels within Accenture.
    • Understands methods and procedures on new assignments and executes deliverables with guidance as needed.
    • May interact with peers and/or management levels at a client and/or within Accenture.
    • Determines methods and procedures on new assignments with guidance .
    • Decisions often impact the team in which they reside.
    • Manages small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.
Basic Qualifications
    • Minimum 2 plus years of hands-on technical experience implementing or supporting Big Data solutions utilizing Hadoop.
      Expe
    • rience developing solutions utilizing at least two of the following: Kaf
        k
      • a based streaming services
      • R Studio
      • Cassandra, MongoDB
      • MapReduce, Pig, Hive
      • Scala, Spark
      • Knowledge on Jenkins, Chef, Puppet
Preferred Qualifications
    • Hands-on technical experience utilizing Python
    • Full life cycle development experience
    • Experience with delivering Big Data Solutions in the cloud with AWS or Azure
    • Ability to configure and support API and OpenSource integrations
    • Experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
    • Experience with DevOps support
    • Designing ingestion, low latency, visualization clusters to sustain data loads and meet business and IT expectations
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Accenture is a Federal Contractor and an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Comcast
  • Englewood, CO

Comcast's Technology & Product organization works at the intersection of media and technology. Our innovative teams are continually developing and delivering products that transform the customer experience. From creating apps like TVGo to new features such as the Talking Guide on the X1 platform, we work every day to make a positive impact through innovation in the pursuit of building amazing products that are enjoyable, easy to use and accessible across all platforms. The team also develops and supports our evolving network architecture, including next-generation consumer systems and technologies, infrastructure and engineering, network integration and management tools, and technical standards.

Job Summary:

Software engineering skills combined with the demands of a high volume, highly-visible analytics platform make this an exciting challenge for the right candidate.

Are you passionate about digital media, entertainment, and software services? Do you like big challenges and working within a highly motivated team environment?

As a software engineer in the Data Experience (DX) team, you will research, develop, support, and deploy solutions in real-time distributing computing architectures. The DX big data team is a fast-moving team of world-class experts who are innovating in providing user-driven, self-service tools for making sense and making decisions with high volumes of data. We are a team that thrives on big challenges, results, quality, and agility.

Who does the data engineer work with?

Big Data software engineering is a diverse collection of professionals who work with a variety of teams ranging from other software engineering teams whose software integrates with analytics services, service delivery engineers who provide support for our product, testers, operational stakeholders with all manner of information needs, and executives who rely on big data for data backed decisioning.

What are some interesting problems you'll be working on?

Develop systems capable of processing millions of events per second and multi-billions of events per day, providing both a real-time and historical view into the operation of our wide-array of systems. Design collection and enrichment system components for quality, timeliness, scale and reliability. Work on high-performance real-time data stores and a massive historical data store using best-of-breed and industry-leading technology.

Where can you make an impact?

Comcast DX is building the core components needed to drive the next generation of data platforms and data processing capability. Running this infrastructure, identifying trouble spots, and optimizing the overall user experience is a challenge that can only be met with a robust big data architecture capable of providing insights that would otherwise be drowned in an ocean of data.

Success in this role is best enabled by a broad mix of skills and interests ranging from traditional distributed systems software engineering prowess to the multidisciplinary field of data science.

Responsibilities:

  • Develop solutions to big data problems utilizing common tools found in the ecosystem.
  • Develop solutions to real-time and offline event collecting from various systems.
  • Develop, maintain, and perform analysis within a real-time architecture supporting large amounts of data from various sources.
  • Analyze massive amounts of data and help drive prototype ideas for new tools and products.
  • Design, build and support APIs and services that are exposed to other internal teams
  • Employ rigorous continuous delivery practices managed under an agile software development approach
  • Ensure a quality transition to production and solid production operation of the software

Skills & Requirements:

  • 5+ years programming experience
  • Bachelors or Masters in Computer Science, Statistics or related discipline
  • Experience in software development of large-scale distributed systems including proven track record of delivering backend systems that participate in a complex ecosystem.
  • Experience working on big data platforms in the cloud or on traditional Hadoop platforms
  • AWS Core
  • Kinesis
  • IAM
  • S3/Glacier
  • Glue
  • DynamoDB
  • SQS
  • Step Functions
  • Lambda
  • API Gateway
  • Cognito
  • EMR
  • RDS/Auora
  • CloudFormation
  • CloudWatch
  • Languages
  • Python
  • Scala/Java
  • Spark
  • Batch, Streaming, ML
  • Performance tuning at scale
  • Hadoop
  • Hive
  • HiveQL
  • YARN
  • Pig
  • Scoop
  • Ranger
  • Real-time Streaming
  • Kafka
  • Kinesis
  • Data File Formats:
  • Avro, Parquet, JSON, ORC, CSV, XML
  • NoSQL / SQL
  • Microservice development
  • RESTful API development
  • CI/CD pipelines
  • Jenkins / GoCD
  • AWS
    • CodeCommit
    • CodeBuild
    • CodeDeploy
    • CodePipeline
  • Containers
  • Docker / Kubernetes
  • AWS
    • Lambda
    • Fargate
    • EKS
  • Analytics
  • Presto / Athena
  • QuickSight
  • Tableau
  • Test-driven development/test automation, continuous integration, and deployment automation
  • Enjoy working with data data analysis, data quality, reporting, and visualization
  • Good communicator, able to analyze and clearly articulate complex issues and technologies understandably and engagingly.
  • Great design and problem solving skills, with a strong bias for architecting at scale.
  • Adaptable, proactive and willing to take ownership.
  • Keen attention to detail and high level of commitment.
  • Good understanding in any: advanced mathematics, statistics, and probability.
  • Experience working in agile/iterative development and delivery environments. Comfort in working in such an environment. Requirements change quickly and our team needs to constantly adapt to moving targets.

About Comcast DX (Data Experience):

Data Experience(DX) is a results-driven, data platform research and engineering team responsible for the delivery of multi-tenant data infrastructure and platforms necessary to support our data-driven culture and organization. The mission of DX is to gather, organize, make sense of Comcast data, and make it universally accessible to empower, enable, and transform Comcast into an insight-driven organization. Members of the DX team define and leverage industry best practices, work on extremely large-scale data problems, design and develop resilient and highly robust distributed data organizing and processing systems and pipelines as well as research, engineer, and apply data science and machine intelligence disciplines

Comcast is an EOE/Veterans/Disabled/LGBT employer

Pythian
  • Dallas, TX

Google Cloud Solutions Architect (Pre Sales)

United States | Canada | Remote | Work from Home

Why You?

Are you a US or Canada based Cloud Solutions Architect who likes to operate with a high degree of autonomy and have diverse responsibilities that require strong leadership, deep technology skills and a dedication to customer service? Do you have Big data and Data centric skills? Do you want to take part in the strategic planning of organizations data estate with a focus of fulfilling business requirements around cost, scalability and flexibility of the platform? Can you draft technology roadmaps and document best practice gaps with precise steps of how to get there? Can you implement the details of the backlogs you have helped build? Do you demonstrate consistent best practices and deliver strong customer satisfaction? Do you enjoy pre sales? Can you demonstrate adoption of new technologies and frameworks through the development of proofs of concepts?

If you have a passion for solving complex problems and for pre sales then this could be the job for you!

What Will You Be Doing?  

  • Collaborating with and supporting Pythian sales teams in the pre-sales & account management process from the technical perspective, remotely and on-site (approx 75%).
  • Defining solutions for current and future customers that efficiently address their needs. Leading through example and influence, as a master of applying technology solutions to solve business problems.
  • Developing Proof of Concepts (PoC) in order to demonstrate feasibility and value to Pythians customers (approx 25%).
  • Defining solutions for current and future customers that efficiently address their needs.
  • Identifying then executing solutions with a commitment to excellent customer service
  • Collaborating with others in refining solutions presented to customers
  • Conducting technical audits of existing architectures (Infrastructure, Performance, Security, Scalability and more) document best practices and recommendations
  • Providing component or site-wide performance optimizations and capacity planning
  • Recommending best practices & improvements to current operational processes
  • Communicating status and planning activities to customers and team members
  • Participate in periodic overtime (occasionally on short notice) travelling up to approx 50%).

What Do We Need From You?

While we realise you might not have everything on the list to be the successful candidate for the Solutions Architect job you will likely have at least 10 years experience in a variety of positions in IT. The position requires specialized knowledge and experience in performing the following:

  • Undergraduate degree in computer science, computer engineering, information technology or related field or relevant experience.
  • Systems design experience
  • Understanding and experience with Cloud architectures specifically: Google Cloud Platform (GCP) or Microsoft Azure
  • In-depth knowledge of popular database and data warehouse technologies from Microsoft, Amazon and/or Google (Big Data & Conventional RDBMS), Microsoft Azure SQL Data Warehouse, Teradata, Redshift,  BigQuery, Snowflake etc.
  • Be fluent in a few languages, preferably Java and Python, and having familiarity with Scala and Go would be a plus.
  • Proficient in SQL. (Experience with Hive and Impala would be great)
  • Proven ability to work with software engineering teams and understand complex development systems, environments and patterns.
  • Experience presenting to high level executives (VPs, C Suite)
  • This is a North American based opportunity and it is preferred that the candidate live on the West Coast, ideally in San Francisco or the Silicon Valley area but strong candidates may be considered from anywhere in the US or Canada.
  • Ability to travel and work across North America frequently (occasionally on short notice) up to 50% with some international travel also expected.

Nice-to-Haves:

  • Experience Architecting Big Data platforms using Apache Hadoop, Cloudera, Hortonworks and MapR distributions.
  • Knowledge of real-time Hadoop query engines like Dremel, Cloudera Impala, Facebook Presto or Berkley Spark/Shark.
  • Experience with BI platforms, reporting tools, data visualization products, ETL engines.
  • Experience with any MPP (Oracle Exadata/DW, Teradata, Netezza, etc)
  • Understanding of continuous delivery and deployment patterns and tools (Jenkins, Artifactory, Maven, etc)
  • Prior experience working as/with Machine Learning Engineers, Data Engineers, or Data Scientists.
  • A certification such as Google Cloud Professional Cloud Architect, Google Professional Data Engineer or related AWS Certified Solutions Architect / Big Data or Microsoft Azure Architect
  • Experience or strong interest in people management, in a player-coach style of leadership longer term would be great.

What Do You Get in Return?

  • Competitive total rewards package
  • Flexible work environment: Why commute? Work remotely from your home, theres no daily travel requirement to the office!
  • Outstanding people: Collaborate with the industrys top minds.
  • Substantial training allowance: Hone your skills or learn new ones; participate in professional development days, attend conferences, become certified, whatever you like!
  • Amazing time off: Start with a minimum 3 weeks vacation, 7 sick days, and 2 professional development days!
  • Office Allowance: A device of your choice and personalise your work environment!  
  • Fun, fun, fun: Blog during work hours; take a day off and volunteer for your favorite charity.
Cortical.io
  • Vienna, Austria
  • Salary: €55k - 65k

Cortical.io is a young entrepreneurial company focusing on natural language understanding (NLU). We use our patented technology in combination with sophisticated AI approaches to address problems others have failed to solve. Over the last couple of years, we have built an impressive client portfolio of global Fortune 100 companies. At this point, we are looking to expand our team at our headquarters in Vienna.


The ideal candidates for this position have some experience in Java product development, machine learning, and/or natural language processing (NLP). If you are keen on learning new technologies and want to contribute to software solutions that solve challenging NLP problems, then you should send us your application!


Basic requirements



  • Good working proficiency in written and spoken English

  • European Union citizenship or authorization to work in Austria


What you’ll be working on



  • Applying state-of-the-art NLP and machine-learning techniques to develop semantic solutions for large international businesses

  • Developing our core NLU technology, e.g. our semantic search engine or classification module


What you must have



  • A bachelor’s degree in computer science, AI, machine learning, information retrieval, or NLP

  • Two or more years’ experience as a Java software engineer

  • Basic knowledge of NLP

  • Professional experience in Java product development

  • Practical experience with


    • Integration tools (Maven, Jenkins, Git)

    • Software testing and code reviews

    • Common technologies such as Spring, REST, JSON, NoSQL, Docker, IntelliJ

    • UNIX-style environment


  • Good communication skills to interact with technical and business people at all levels of customers’ organizations


It would be great if you also had



  • A master’s degree in computer science, AI, machine learning, information retrieval, or NLP

  • Professional experience in NLP, machine learning, and/or information retrieval

  • Experience with other programming languages, e.g. Scala, Python, Shell scripting

  • Practical experience with NLP frameworks


What you’ll benefit from



  • A competitive salary

  • 25 vacation days a year, 13 public holidays, and the Austrian national health insurance and pension plan

  • A relaxed, diverse, and friendly work environment in a pleasant office with flexible working arrangements

  • The option of telecommuting occasionally

  • The satisfaction of engineering successful machine-learning solutions where competing technologies have come up short

  • Joining an expanding company that is already working with many big-name clients