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

Expedia Group - Europe
  • London, UK

Expedia needs YOU!


At Hotels.com (part of the Expedia Group) ensuring that our customers find the perfect hotel is an exciting mission for our technology teams.

We are looking for a Software Development Engineer to join our awesome team of bright minds. We are building Hotels.com's data streaming and ingestion platform, reliably handling many thousands of messages every second.

Our platform enables data producers and consumers to easily share and process information. We have built and continue to improve our platform using open source projects such as: Kafka, Kubernetes and Java Spring, all running in the cloud, and we love contributing our work back to the open source community.


What you'll do:


Are you interested in building a world-class, fast-growing data platform in the cloud?



  • Are you keen to work with and contribute to open source projects?

  • Do you have a real passion for clean code and finding elegant solutions to problems?

  • Are you eager to learn streaming, cloud and big data technologies and keep your skills up to date?

  • If any of those are true... Hotels.com is looking for you!

  • We seek an enthusiastic, experienced and reliable engineer who enjoys getting things done.

  • You should have good communication skills and be equally comfortable clearly explaining technical problems and solutions with analysts, engineers and product managers.

  • We welcome your fresh ideas and approaches as we constantly aim to improve our development methodologies.

  • Our team has experience using a wide range of cutting edge technologies and years of streaming, cloud and big data experience.

  • We are always learning and growing, so we guarantee that you won't be bored with us!


We don’t believe in skill matching against a list of buzzwords…

However we do believe in hiring smart, friendly and creative people, with excellent programming abilities, who are on a journey to mastery through craftsmanship. We believe great developers can learn new technologies quickly and effectively but it wouldn't hurt if you have experience with some of the following (or a passion to learn them):

Technologies:
Kafka, Kubernetes, Spring, AWS, Spark Streaming, Hive, Flink, Docker.

Experience:
Modern core and server side Java (concurrency, streams, reactive, lambdas).
Microservice architecture, design, and standard methodologies with an eye towards scale.
Building and debugging highly scalable performant systems.
Actively contributing to Open Source Software.


What you’ll do:



  • Write clean, efficient, thoroughly tested code, backed-up with pair programming and code reviews.

  • Much of our code is Java, but we use all kinds of languages and frameworks.

  • Be part of an agile team that is continuously learning and improving.

  • Develop scalable and highly-performant distributed systems with everything this entails (availability, monitoring, resiliency).

  • Work with our business partners to flesh out and deliver on requirements in an agile manner.

  • Evolve development standards and practices.

  • Take architectural ownership for various critical components and systems.

  • Proactive problem solving at the organization level.

  • Communicate and document solutions and design decisions.

  • Build bridges between technical teams to enable valuable collaborations.


As a team we love to:



  • Favor clean code, and simple, robust architecture.

  • Openly share knowledge in order to grow and develop our team members.

  • Handle massive petabyte-scale data sets.

  • Host and attend meetups and conferences to present our work. This year we've presented at the

  • Dataworks Summit in Berlin and the Devoxx Conference in London.

  • Contribute to Open Source. In recent years our team created Circus Train, Waggle Dance, BeeJU, CORC, Plunger, Jasvorno and contributed to Confluent, aws-alb-ingress-controller, S3Proxy, Cascading, Hive, HiveRunner, Kafka and Terraform. In addition, we are currently working towards open sourcing our streaming platform.

  • Create an inclusive and fun workplace.


Do all of this in a comfortable, modern office, with a massive roof terrace in great location within central London!


We’ll take your career on a journey that’s flexible and right for you; recognizing and rewarding your achievements:

A conversation around flexible working and what will best fit you is encouraged at Hotels.com.
Competitive salaries and many growth opportunities within the wider global Expedia Group.
Option to attend conferences globally and enrich the technology skills you are passionate about.
Cash and Stock rewards for outstanding performance.
Extensive travel rewards and discounts for all employees, perfect for ticking some destinations off your bucket list!


We believe that a diverse and inclusive workforce, is the most awesome workforce…
We believe in being Different. We seek new ideas, different ways of thinking, diverse backgrounds and approaches, because averages can lie and conformity is dangerous.
Expedia is committed to crafting an inclusive work environment with a diverse workforce. You will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Why join us:
Expedia Group recognizes our success is dependent on the success of our people.  We are the world's travel platform, made up of the most knowledgeable, passionate, and creative people in our business.  Our brands recognize the power of travel to break down barriers and make people's lives better – that responsibility inspires us to be the place where exceptional people want to do their best work, and to provide them the tools to do so. 


Whether you're applying to work in engineering or customer support, marketing or lodging supply, at Expedia Group we act as one team, working towards a common goal; to bring the world within reach.  We relentlessly strive for better, but not at the cost of the customer.  We act with humility and optimism, respecting ideas big and small.  We value diversity and voices of all volumes. We are a global organization but keep our feet on the ground so we can act fast and stay simple.  Our teams also have the chance to give back on a local level and make a difference through our corporate social responsibility program, Expedia Cares.


If you have a hunger to make a difference with one of the most loved consumer brands in the world and to work in the dynamic travel industry, this is the job for you.


Our family of travel brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Egencia®, trivago®, HomeAway®, Orbitz®, Travelocity®, Wotif®, lastminute.com.au®, ebookers®, CheapTickets®, Hotwire®, Classic Vacations®, Expedia® Media Solutions, CarRentals.com™, Expedia Local Expert®, Expedia® CruiseShipCenters®, SilverRail Technologies, Inc., ALICE and Traveldoo®.


We’re excited for you to make Expedia an even more awesome place to work!
So what are you waiting for? Apply now and join us on our journey to become the #1 travel company in the world!



Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

USU Gruppe
  • Karlsruhe, Deutschland

Wir haben spannende Aufgaben für Dich:



  • Konzeption, Implementierung, Deployment und Betrieb von cloud-first Produkten für unsere Data-Science-Plattform

  • Du arbeitest teamorientiert in unserem selbstorganisierten, cross-funktionalen Team

  • Du setzt moderne Technologien und Methoden ein, wie z.B. - Cloud Computing mit Kubernetes, Spark, NoSQL Datenbanken, - DevOps, Continuous Integration and Deployment, Infrastructure as code




Das bringst Du mit:



  • Abgeschlossenes Studium (z.B. Informatik, Wirtschaftsinformatik, Physik) oder vergleichbare Ausbildung

  • Routinierter Umgang mit Linux-Systemen, Container-Lösungen (z.B. Docker, Kubernetes) und (No)SQL-Datenbanken

  • Erfahrung in der Automatisierung und Orchestrierung des Betriebs von verteilten Systemen, beispielsweise mit Ansible, Saltstack und Helm

  • Idealerweise verfügst Du über Kenntnisse im Software-Engineering mit Go, Scala oder Python

  • Teamgeist und Begeisterung für die Entwicklung innovativer Big Data Lösungen für die Industrie 4.0 runden dein Profil ab

Heetch
  • No office location

Marketplace team @ Heetch

Our team focuses on finding the right triggers to balance the demand (passenger requests) and offer (driver availabilities) to generate growth while maintaining a highly reliable service. It requires a lot of data work, in order to formulate hypotheses and create models which will fit the different cities we operate in. In other words, we try to build scalable and smart things to make mobility easier, for both drivers and passengers.

Mindset
• Move fast not furious
• Don’t be scared of failure, learn from it and try again
• Unit and functional tests are as important as code
• Code is always evolving we do not think in versions
• We’re not just here to push code, product ownerships equally spread amongst the team

Team Life
• Work wherever you want: we’ve always been remote first but also have offices in Paris, London, Brussels and Casablanca
• Open communication: everything is public within the team
• You are not alone: we use Slack and video calls every day
• Continuous improvement: weekly team retrospective and strong Speak Up value Your role As an Engineering Manager, you will 100% remotely manage a fast-growing engineering team to build a product on a highly scalable technology stack (full microservices architecture in Golang running on top of Docker).


What do you need?

• 4+ years of engineering leadership experience with at least 2 years managing multiple teams in different locations
• Experience working in a fast-paced environment within a small company
• Strong communication skills: being able to interact with a variety of profiles, from technical to non-technical
• Significant track record of attracting, retaining, and mentoring top talent within the industry
• Commitment to control unconscious biases in recruiting for your team in order to attract diverse candidates
• Proven ability to motivate and inspire a talented and creative technical team to perform
• Understanding and experience of building highly scalable, highly available distributed systems
• Able to develop a comprehensive platform performance and scalability strategy while continuously delivering product improvements

What will you do?

Deliver
• Work with engineering, product, and UX teams to facilitate project delivery by ensuring alignment and on time delivery
• Define, implement, and oversee a flexible and effective development process to reach the team's delivery goals
• Offer a collaborative and welcoming development environment for your team members
• Deliver high quality, high availability, highly reliable, scalable, and secure distributed systems

Coach
• Support and inspire an ambitious group of engineers in their career goals
• Work with our people operations team to maintain our high performance and high morale
• Oversee a distributed team (fully remote across Europe) of motivated engineers spanning all experience levels
• Facilitate continuous learning and improvement for the team and its members
• Provide technical and non-technical guidance to the team, both individually and as a group
• Maximize team productivity and build loyalty by deeply understanding & incorporating various motivations, working styles and preferences
• Cultivate high engagement, performance and commitment to the product through a motivational & visionary approach
• Develop and mentor upcoming leaders and key engineers

Hire
• Be actively involved in hiring and growing our engineering team
• Plan and implement hiring strategies to attract talent within your team
• Advocate for engineering and management on the blog or at social and tech events
• Recruit outstanding technical talents from diverse backgrounds while continuously enhancing our recruiting strategies and programs

Drive changes
• Help us grow and evolve our engineering culture
• Work with other engineering managers to drive cultural changes across the organisation

Perks
• Stocks
• Paid conference attendance/travel
• Heetch credits
• A Spotify subscription
• Code retreats and company retreats
• Travel budget (visit your remote co-workers and our offices)

Heetch
  • No office location

Marketplace team @ Heetch

Our team focuses on finding the right triggers to balance the demand (passenger requests) and offer (driver availabilities) to generate growth while maintaining a highly reliable service. It requires a lot of data work, in order to formulate hypotheses and create models which will fit the different cities we operate in. In other words, we try to build scalable and smart things to make mobility easier, for both drivers and passengers.

Mindset
• Move fast not furious
• Don’t be scared of failure, learn from it and try again
• Unit and functional tests are as important as code
• Code is always evolving we do not think in versions
• We’re not just here to push code, product ownerships equally spread amongst the team

Team Life
• Work wherever you want: we’ve always been remote first but also have offices in Paris, London, Brussels and Casablanca
• Open communication: everything is public within the team
• You are not alone: we use Slack and video calls every day
• Continuous improvement: weekly team retrospective and strong Speak Up value Your role As an Engineering Manager, you will 100% remotely manage a fast-growing engineering team to build a product on a highly scalable technology stack (full microservices architecture in Golang running on top of Docker).


What do you need?



• 4+ years of engineering leadership experience with at least 2 years managing multiple teams in different locations
• Experience working in a fast-paced environment within a small company
• Strong communication skills: being able to interact with a variety of profiles, from technical to non-technical
• Significant track record of attracting, retaining, and mentoring top talent within the industry
• Commitment to control unconscious biases in recruiting for your team in order to attract diverse candidates
• Proven ability to motivate and inspire a talented and creative technical team to perform
• Understanding and experience of building highly scalable, highly available distributed systems
• Able to develop a comprehensive platform performance and scalability strategy while continuously delivering product improvements

What will you do?

Deliver
• Work with engineering, product, and UX teams to facilitate project delivery by ensuring alignment and on time delivery
• Define, implement, and oversee a flexible and effective development process to reach the team's delivery goals
• Offer a collaborative and welcoming development environment for your team members
• Deliver high quality, high availability, highly reliable, scalable, and secure distributed systems

Coach
• Support and inspire an ambitious group of engineers in their career goals
• Work with our people operations team to maintain our high performance and high morale
• Oversee a distributed team (fully remote across Europe) of motivated engineers spanning all experience levels
• Facilitate continuous learning and improvement for the team and its members
• Provide technical and non-technical guidance to the team, both individually and as a group
• Maximize team productivity and build loyalty by deeply understanding & incorporating various motivations, working styles and preferences
• Cultivate high engagement, performance and commitment to the product through a motivational & visionary approach
• Develop and mentor upcoming leaders and key engineers

Hire
• Be actively involved in hiring and growing our engineering team
• Plan and implement hiring strategies to attract talent within your team
• Advocate for engineering and management on the blog or at social and tech events
• Recruit outstanding technical talents from diverse backgrounds while continuously enhancing our recruiting strategies and programs

Drive changes
• Help us grow and evolve our engineering culture
• Work with other engineering managers to drive cultural changes across the organisation

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.

Zalando SE
  • Berlin, Germany

Full Stack Engineer (Java/React) for Retail Operations




Zalando SE










ABOUT THE TEAM


Department: Retail Operations, Team Retail Centre


Reports to: Engineering Lead


Team Size: >10



As a Full Stack Engineer in the Team Retail Center, you will build the central component that connects all department components and ensures that Zalando’s store has the right product available at the right time. You will build and own all centralized services for the department and your systems will be used by 1000+ internal users and 2000+ suppliers every day.



WHERE YOUR EXPERTISE IS NEEDED 



  • Meet business needs while maintaining scalable architecture and keeping dependable consistency of business objects

  • Own the whole development cycle - from architecture design to implementation and testing and as well maintenance of our products

  • Work together with the developers, UX, product-management and other teams to provide the best experience for our customers

  • Collaborate with other technology and business teams to ensure that our solutions are well integrated in the larger context of Zalando.



WHAT WE’RE LOOKING FOR



  • 4+ years of experience in dedicated frontend projects with modern frameworks like React/Preact. Experience in ECMAScript, HTML5, SCSS and modern stack like Babel, Webpack

  • 4+ years of experience in Java (with no fear of Scala or Kotlin) and with relevant frameworks (e.g., Spring/Play)

  • Ability to write well formatted, structured and clean code and comfortably work with backend and DevOps technologies such as NodeJS 8+, Docker, Kubernetes

  • Enthusiasm for direct and frequent interaction with the users and interest in discovering opportunities collaborating closely with UX, Product and other colleagues



WHAT WE OFFER



  • Culture of trust, empowerment and constructive feedback, open source commitment, meetups, 100+ internal guilds, knowledge sharing through tech talks, internal tech academy and blogs, product demos, parties & events

  • Competitive salary, employee share shop, 40% Zalando shopping discount, discounts from external partners, centrally located offices, public transport discounts, municipality services, great IT equipment, flexible working times, additional holidays and volunteering time off, free beverages and fruits, diverse sports and health offerings

  • Extensive onboarding, mentoring and personal development opportunities and access to an international team of experts

  • Relocation assistance for internationals, PME family service and parent & child rooms* (*available only in select locations)


We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need.


ABOUT ZALANDO


Zalando is Europe’s leading online platform for fashion, connecting customers, brands and partners across 17 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 23 million active customers through diverse skill-sets, interests and languages our teams choose to use.


At Retail Operations, we provide the technological backbone that drives our core retail business on the supplier-facing side. We build state-of-the art B2B & enterprise systems that connect Zalando seamlessly with our suppliers - from onboarding product catalogues to creating the best online multimedia content, and from aligning purchase quantities to scheduling deliveries into our warehouses. To our 2000+ suppliers, we offer easy ways to integrate and collaborate with Zalando - through our supplier portal, standard EDI and web-based REST APIs. To our 1000+ internal users we offer highly automated processes that allow them to focus on everything machines cannot do on their own. To do this, we build state-of-the systems using a variety of technologies, such as HTML/JS, Java, Scala, Kotlin and Python - all as cloud-based microservices.


For more information about Retail Operations Business Unit, click here.


Please note that all applications must be completed using the online form - we do not accept applications via e-mail.

118118Money
  • Austin, TX

Seeking an individual with a keen eye for good design combined with the ability to communicate those designs through informative design artifacts. Candidates should be familiar with an Agile development process (and understand its limitations), able to mediate between product / business needs and developer architectural needs. They should be ready to get their hands dirty coding complex pieces of the overall architecture.

We are .NET Core on the backend, Angular 2 on a mobile web front-end, and native on Android and iOS. We host our code across AWS and on-premises VMs, and use various data backends (SQL Server, Oracle, Mongo).

Very important is interest in (and hopefully, experience with) modern big data pipelines and machine learning. Experience with streaming platforms feeding Apache Spark jobs that train machine learning models would be music to our ears. Financial platforms generate massive amounts of data, and re-architecting aspects of our microservices to support that will be a key responsibility.

118118 Money is a private financial services company with R&D headquartered in Austin along highway 360, in front of the Bull Creek Nature preserve. We have offices around the world, so the candidate should be open to occasional travel abroad. The atmosphere is casual, and has a startup feel. You will see your software creations deployed quickly.

Responsibilities

    • Help us to build a big data pipeline and add machine learning capability to more areas of our platform.
    • Manage code from development through deployment, including support and maintenance.
    • Perform code reviews, assist and coach more junior developers to adhere to proper design patterns.
    • Build fault-tolerant distributed systems.

Requirements

    • Expertise in .NET, C#, HTML5, CSS3, Javascript
    • Experience with some flavor of ASP.NET MVC
    • Experience with SQL Server
    • Expertise in the design of elegant and intuitive REST APIs.
    • Cloud development experience (Amazon, Azure, etc)
    • Keen understanding of security principles as they pertain to service design.
    • Expertise in object-oriented design principles.

Desired

    • Machine Learning experience
    • Mobile development experience
    • Kafka / message streaming experience
    • Apache Spark experience
    • Knowledge of the ins and outs of Docker containers
    • Experience with MongoDB
FCA Fiat Chrysler Automobiles
  • Detroit, MI

Fiat Chrysler Automobiles is looking to fill the full-time position of a Data Scientist. This position is responsible for delivering insights to the commercial functions in which FCA operates.


The Data Scientist is a role in the Business Analytics & Data Services (BA) department and reports through the CIO. They will play a pivotal role in the planning, execution  and delivery of data science and machine learning-based projects. The bulk of the work with be in areas of data exploration and preparation, data collection and integration, machine learning (ML) and statistical modelling and data pipe-lining and deployment.

The newly hired data scientist will be a key interface between the ICT Sales & Marketing team, the Business and the BA team. Candidates need to be very much self-driven, curious and creative.

Primary Responsibilities:

    • Problem Analysis and Project Management:
      • Guide and inspire the organization about the business potential and strategy of artificial intelligence (AI)/data science
      • Identify data-driven/ML business opportunities
      • Collaborate across the business to understand IT and business constraints
      • Prioritize, scope and manage data science projects and the corresponding key performance indicators (KPIs) for success
    • Data Exploration and Preparation:
      • Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA)
      • Generate and test hypotheses about the underlying mechanics of the business process.
      • Network with domain experts to better understand the business mechanics that generated the data.
    • Data Collection and Integration:
      • Understand new data sources and process pipelines. Catalog and document their use in solving business problems.
      • Create data pipelines and assets the enable more efficiency and repeatability of data science activities.
    • Data Exploration and Preparation:
      • Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA)
    • Machine Learning and Statistical Modelling:
      • Apply various ML and advanced analytics techniques to perform classification or prediction tasks
      • Integrate domain knowledge into the ML solution; for example, from an understanding of financial risk, customer journey, quality prediction, sales, marketing
      • Testing of ML models, such as cross-validation, A/B testing, bias and fairness
    • Operationalization:
      • Collaborate with ML operations (MLOps), data engineers, and IT to evaluate and implement ML deployment options
      • (Help to) integrate model performance management tools into the current business infrastructure
      • (Help to) implement champion/challenger test (A/B tests) on production systems
      • Continuously monitor execution and health of production ML models
      • Establish best practices around ML production infrastructure
    • Other Responsibilities:
      • Train other business and IT staff on basic data science principles and techniques
      • Train peers on specialist data science topics
      • Promote collaboration with the data science COE within the organization.

Basic Qualifications:

    • A bachelors  in computer science, data science, operations research, statistics, applied mathematics, or a related quantitative field [or equivalent work experience such as, economics, engineering and physics] is required. Alternate experience and education in equivalent areas such as economics, engineering or physics, is acceptable. Experience in more than one area is strongly preferred.
    • Candidates should have three to six years of relevant project experience in successfully launching, planning, executing] data science projects. Preferably in the domains of automotive or customer behavior prediction.
    • Coding knowledge and experience in several languages: for example, R, Python, SQL, Java, C++, etc.
    • Experience of working across multiple deployment environments including cloud, on-premises and hybrid, multiple operating systems and through containerization techniques such as Docker, Kubernetes, AWS Elastic Container Service, and others.
    • Experience with distributed data/computing and database tools: MapReduce, Hadoop, Hive, Kafka, MySQL, Postgres, DB2 or Greenplum, etc.
    • All candidates must be self-driven, curious and creative.
    • They must demonstrate the ability to work in diverse, cross-functional teams.
    • Should be confident, energetic self-starters, with strong moderation and communication skills.

Preferred Qualifications:

    • A master's degree or PhD in statistics, ML, computer science or the natural sciences, especially physics or any engineering disciplines or equivalent.
    • Experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
    • Knowledge and experience in statistical and data mining techniques: generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN), T-distributed Stochastic Neighbor Embedding (t-SNE), graph analysis, etc.
    • A specialization in text analytics, image recognition, graph analysis or other specialized ML techniques such as deep learning, etc., is preferred.
    • Ideally, the candidates are adept in agile methodologies and well-versed in applying DevOps/MLOps methods to the construction of ML and data science pipelines.
    • Knowledge of industry standard BA tools, including Cognos, QlikView, Business Objects, and other tools that could be used for enterprise solutions
    • Should exhibit superior presentation skills, including storytelling and other techniques to guide and inspire and explain analytics capabilities and techniques to the organization.
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

Recursion
  • Salt Lake City, UT

At Recursion we combine experimental biology, automation, and artificial intelligence to quickly and efficiently identify treatments for human diseases. We’re transforming drug discovery into a data science problem and to do that we’re building a platform for rapid biological experimentation, data generation, automated analysis, model training, and prediction.


THE PROBLEMS YOU’LL SOLVE


As a Machine Learning Engineer, you'll report to the VP of Engineering and will work with others on the data, machine learning, and engineering teams to build the infrastructure and systems to enable both ML prototyping and production grade deployment of ML solutions that lift our drug discovery platform to new levels of effectiveness and efficiency. We are looking for experienced Machine Learning Engineers who value experimentation and the rigorous use of the scientific method, high collaboration across multiple functions, and intense curiosity driving them to keep our systems cutting edge. In this role you will:



  • Build, scale, and operate compute clusters for deep learning.You’ll be a part of a team responsible for the ML infrastructure, whether that be large-scale on-prem GPU clusters or cloud-based TPU pods.

  • Create a world-class ML research platform.You’ll work with Data Scientists, ML Researchers, and Systems and Data Engineers to create an ML platform that allows them to efficiently prepare hundreds of terabytes of data for training and processing, train cutting-edge deep learning models, backtest them on thousands of past experiments, and deploy working solutions to production. Examples of ML platforms like this are Uber’s Michelangelo and Facebook’s FBLearner Flow.

  • Be a mentor to peers. You will share your technical knowledge and experiences, resulting in an increase in their productivity and effectiveness.


THE EXPERIENCE YOU’LL NEED



  • An ability to be resourceful and collaborative in order to complete large projects. You’ll be working cross-functionally to build these systems and must always have the end (internal) user in mind.

  • Experience implementing, training, and evaluating deep learning models using modern ML frameworks through collaboration with others, reading of ML papers, or primary research.

  • A demonstration of accelerating ML research efforts through improved systems, processes and frameworks.

  • A track record of learning new technologies as needed to get things done. Our current tech stack uses Python and the pydata libraries, TensorFlow, Keras, Kubernetes + Docker, Big Query, and other cloud services provided by Google Cloud Platform.

  • Biology background is not necessary, but intellectual curiosity is a must!


THE PERKS YOU’LL ENJOY



  • Coverage of health, vision, and dental insurance premiums (in most cases 100%)

  • 401(k) with generous matching (immediate vesting)

  • Stock option grants

  • Two one-week paid company closures (summer and winter) in addition to flexible, generous vacation/sick leave

  • Commuter benefit and vehicle parking to ease your commute

  • Complimentary chef-prepared lunches and well-stocked snack bars

  • Generous paid parental leave for birth, non-birth, and adoptive parents

  • Fully-paid gym membership to Metro Fitness, located just feet away from our new headquarters

  • Gleaming new 100,000 square foot headquarters complete with a 70-foot climbing wall, showers, lockers, and bike parking



WHAT WE DO


We have raised over $80M to apply machine learning to one of the most unique datasets in existence - over a petabyte of imaging data spanning more than 10 billion cells treated with hundreds of thousands of different biological and chemical perturbations, generated in our own labs - in order to find treatments for hundreds of diseases. Our long term mission is to decode biology to radically improve lives and we want to understand biology so well that we can fix most things that go wrong in our bodies. Our data scientists, machine learning researchers and engineers work on some of the most challenging and interesting problems in computational drug discovery, and collaborate with some of the brightest minds in the deep learning community (Yoshua Bengio is one of our advisors), who help our machine learning team design novel ways of tackling these problems.



Recursion is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Recursion strictly prohibits and does not tolerate discrimination against applicants because of race, color, religion, creed, national origin or ancestry, ethnicity, sex, pregnancy, gender (including gender nonconformity and status as a transgender individual), age, physical or mental disability, citizenship, past, current, or prospective service in the uniformed services, or any other characteristic protected under applicable federal, state, or local law.

The HT Group
  • Austin, TX

Full Stack Engineer, Java/Scala Direct Hire Austin

Do you have a track record of building both internal- and external-facing software services in a dynamic environment? Are you passionate about introducing disruptive and innovative software solutions for the shipping and logistics industry? Are you ready to deliver immediate impact with the software you create?

We are looking for Full Stack Engineers to craft, implement and deploy new features, services, platforms, and products. If you are curious, driven, and naturally explore how to build elegant and creative solutions to complex technical challenges, this may be the right fit for you. If you value a sense of community and shared commitment, youll collaborate closely with others in a full-stack role to ship software that delivers immediate and continuous business value. Are you up for the challenge?

Tech Tools:

  • Application stack runs entirely on Docker frontend and backend
  • Infrastructure is 100% Amazon Web Services and we use AWS services whenever possible. Current examples: EC2 Elastic Container Service (Docker), Kinesis, SQS, Lambda and Redshift
  • Java and Scala are the languages of choice for long-lived backend services
  • Python for tooling and data science
  • Postgres is the SQL database of choice
  • Actively migrating to a modern JavaScript-centric frontend built on Node, React/Relay, and GraphQL as some of our core UI technologies

Responsibilities:

  • Build both internal and external REST/JSON services running on our 100% Docker-based application stack or within AWS Lambda
  • Build data pipelines around event-based and streaming-based AWS services and application features
  • Write deployment, monitoring, and internal tooling to operate our software with as much efficiency as we build it
  • Share ownership of all facets of software delivery, including development, operations, and test
  • Mentor junior members of the team and coach them to be even better at what they do

Requirements:

  • Embrace the AWS + DevOps philosophy and believe this is an innovative approach to creating and deploying products and technical solutions that require software engineers to be truly full-stack
  • Have high-quality standards, pay attention to details, and love writing beautiful, well-designed and tested code that can stand the test of time
  • Have built high-quality software, solved technical problems at scale and believe in shipping software iteratively and often
  • Proficient in and have delivered software in Java, Scala, and possibly other JVM languages
  • Developed a strong command over Computer Science fundamentals
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

SafetyCulture
  • Surry Hills, Australia
  • Salary: A$120k - 140k

The Role



  • Be an integral member on the team responsible for design, implement and maintain distributed big data capable system with high-quality components (Kafka, EMR + Spark, Akka, etc).

  • Embrace the challenge of dealing with big data on a daily basis (Kafka, RDS, Redshift, S3, Athena, Hadoop/HBase), perform data ETL, and build tools for proper data ingestion from multiple data sources.

  • Collaborate closely with data infrastructure engineers and data analysts across different teams, find bottlenecks and solve the problem

  • Design, implement and maintain the heterogeneous data processing platform to automate the execution and management of data-related jobs and pipelines

  • Implement automated data workflow in collaboration with data analysts, continue to improve, maintain and improve system in line with growth

  • Collaborate with Software Engineers on application events, and ensuring right data can be extracted

  • Contribute to resources management for computation and capacity planning

  • Diving deep into code and constantly innovating


Requirements



  • Experience with AWS data technologies (EC2, EMR, S3, Redshift, ECS, Data Pipeline, etc) and infrastructure.

  • Working knowledge in big data frameworks such as Apache Spark, Kafka, Zookeeper, Hadoop, Flink, Storm, etc

  • Rich experience with Linux and database systems

  • Experience with relational and NoSQL database, query optimization, and data modelling

  • Familiar with one or more of the following: Scala/Java, SQL, Python, Shell, Golang, R, etc

  • Experience with container technologies (Docker, k8s), Agile development, DevOps and CI tools.

  • Excellent problem-solving skills

  • Excellent verbal and written communication skills 

State Farm
  • Atlanta, GA

WHAT ARE THE DUTIES AND RESPONSIBILITIES OF THIS POSITION?

    Perfo
    • rms improved visual representation of data to allow clearer communication, viewer engagement and faster/better decision-making Inves
    • tigates, recommends, and initiates acquisition of new data resources from internal and external sources Works
    • with IT teams to support data collection, integration, and retention requirements based on business need Ident
    • ifies critical and emerging technologies that will support and extend quantitative analytic capabilities Manag
    • es work efforts which require the use of sophisticated project planning techniques Appli
    • es a wide application of complex principles, theories and concepts in a specific field to provide solutions to a wide range of difficult problems Devel
    • ops and maintains an effective network of both scientific and business contacts/knowledge obtaining relevant information and intelligence around the market and emergent opportunities Contr
    • ibutes data to State Farm's internal and external publications, write articles for leading journals and participate in academic and industry conferences
    • Collaborates with business subject matter experts to select relevant sources of information
    • Develop breadth of knowledge in programming (R, Python), Descriptive, Inferential, and Experimental Design statistics, advanced mathematics, and database functionality (SQL, Hadoop)
    • Develop expertise with multiple machine learning algorithms and data science techniques, such as exploratory data analysis, generative and discriminative predictive modeling, graph theory, recommender systems, text analytics, computer vision, deep learning, optimization and validation
    • Develop expertise with State Farm datasets, data repositories, and data movement processes
    • Assists on projects/requests and may lead specific tasks within the project scope
    • Prepares and manipulates data for use in development of statistical models
    • Develops fundamental understanding of insurance and financial services operations and uses this knowledge in decision making


Additional Details:

For over 95 years, data has been key to State Farm.  As a member of our data science team with the Enterprise Data & Analytics department under our Chief Data & Analytics Officer, you will work across the organization to solve business problems and help achieve business strategies.  You will employ sophisticated, statistical approaches and state of the art technology.  You will build and refine our tools/techniques and engage w/internal stakeholders across the organization to improve our products & services.


Implementing solutions is critical for success. You will do problem identification, solution proposal & presentation to a wide variety of management & technical audiences. This challenging career requires you to work on multiple concurrent projects in a community setting, developing yourself and others, and advancing data science both at State Farm and externally.


Skills & Professional Experience

·        Develop hypotheses, design experiments, and test feasibility of proposed actions to determine probable outcomes using a variety of tools & technologies

·        Masters, other advanced degrees, or five years experience in an analytical field such as data science quantitative marketing, statistics, operations research, management science, industrial engineering, economics, etc. or equivalent practical experience preferred.

·        Experience with SQL, Python, R, Java, SAS or MapReduce, SPARK

·        Experience with unstructured data sets: text analytics, image recognition etc.

·        Experience working w/numerous large data sets/data warehouses & ability to pull from such data sets using relevant programs & coding including files, RDBMS & Hadoop based storage systems

·        Knowledge in machine learning methods including at least one of the following: Time series analysis, Hierarchical Bayes; or learning techniques such as Decision Trees, Boosting, Random Forests.

·        Excellent communication skills and the ability to manage multiple diverse stakeholders across businesses & leadership levels.

·        Exercise sound judgment to diagnose & resolve problems within area of expertise

·        Familiarity with CI/CD development methods, Git and Docker a plus


Multiple location opportunity. Locations offered are: Atlanta, GA, Bloomington, IL, Dallas, TX and Phoenix, AZ


Remote work option is not available.


There is no sponsorship for an employment visa for the position at this time.


Competencies desired:
Critical Thinking
Leadership
Initiative
Resourcefulness
Relationship Building
State Farm
  • Dallas, TX

WHAT ARE THE DUTIES AND RESPONSIBILITIES OF THIS POSITION?

    Perfo
    • rms improved visual representation of data to allow clearer communication, viewer engagement and faster/better decision-making Inves
    • tigates, recommends, and initiates acquisition of new data resources from internal and external sources Works
    • with IT teams to support data collection, integration, and retention requirements based on business need Ident
    • ifies critical and emerging technologies that will support and extend quantitative analytic capabilities Manag
    • es work efforts which require the use of sophisticated project planning techniques Appli
    • es a wide application of complex principles, theories and concepts in a specific field to provide solutions to a wide range of difficult problems Devel
    • ops and maintains an effective network of both scientific and business contacts/knowledge obtaining relevant information and intelligence around the market and emergent opportunities Contr
    • ibutes data to State Farm's internal and external publications, write articles for leading journals and participate in academic and industry conferences
    • Collaborates with business subject matter experts to select relevant sources of information
    • Develop breadth of knowledge in programming (R, Python), Descriptive, Inferential, and Experimental Design statistics, advanced mathematics, and database functionality (SQL, Hadoop)
    • Develop expertise with multiple machine learning algorithms and data science techniques, such as exploratory data analysis, generative and discriminative predictive modeling, graph theory, recommender systems, text analytics, computer vision, deep learning, optimization and validation
    • Develop expertise with State Farm datasets, data repositories, and data movement processes
    • Assists on projects/requests and may lead specific tasks within the project scope
    • Prepares and manipulates data for use in development of statistical models
    • Develops fundamental understanding of insurance and financial services operations and uses this knowledge in decision making


Additional Details:

WHAT ARE THE DUTIES AND RESPONSIBILITIES OF THIS POSITION?

    Perfo
    • rms improved visual representation of data to allow clearer communication, viewer engagement and faster/better decision-making Inves
    • tigates, recommends, and initiates acquisition of new data resources from internal and external sources Works
    • with IT teams to support data collection, integration, and retention requirements based on business need Ident
    • ifies critical and emerging technologies that will support and extend quantitative analytic capabilities Manag
    • es work efforts which require the use of sophisticated project planning techniques Appli
    • es a wide application of complex principles, theories and concepts in a specific field to provide solutions to a wide range of difficult problems Devel
    • ops and maintains an effective network of both scientific and business contacts/knowledge obtaining relevant information and intelligence around the market and emergent opportunities Contr
    • ibutes data to State Farm's internal and external publications, write articles for leading journals and participate in academic and industry conferences
    • Collaborates with business subject matter experts to select relevant sources of information
    • Develop breadth of knowledge in programming (R, Python), Descriptive, Inferential, and Experimental Design statistics, advanced mathematics, and database functionality (SQL, Hadoop)
    • Develop expertise with multiple machine learning algorithms and data science techniques, such as exploratory data analysis, generative and discriminative predictive modeling, graph theory, recommender systems, text analytics, computer vision, deep learning, optimization and validation
    • Develop expertise with State Farm datasets, data repositories, and data movement processes
    • Assists on projects/requests and may lead specific tasks within the project scope
    • Prepares and manipulates data for use in development of statistical models
    • Develops fundamental understanding of insurance and financial services operations and uses this knowledge in decision making


Additional Details:

For over 95 years, data has been key to State Farm.  As a member of our data science team with the Enterprise Data & Analytics department under our Chief Data & Analytics Officer, you will work across the organization to solve business problems and help achieve business strategies.  You will employ sophisticated, statistical approaches and state of the art technology.  You will build and refine our tools/techniques and engage w/internal stakeholders across the organization to improve our products & services.


Implementing solutions is critical for success. You will do problem identification, solution proposal & presentation to a wide variety of management & technical audiences. This challenging career requires you to work on multiple concurrent projects in a community setting, developing yourself and others, and advancing data science both at State Farm and externally.


Skills & Professional Experience

·        Develop hypotheses, design experiments, and test feasibility of proposed actions to determine probable outcomes using a variety of tools & technologies

·        Masters, other advanced degrees, or five years experience in an analytical field such as data science quantitative marketing, statistics, operations research, management science, industrial engineering, economics, etc. or equivalent practical experience preferred.

·        Experience with SQL, Python, R, Java, SAS or MapReduce, SPARK

·        Experience with unstructured data sets: text analytics, image recognition etc.

·        Experience working w/numerous large data sets/data warehouses & ability to pull from such data sets using relevant programs & coding including files, RDBMS & Hadoop based storage systems

·        Knowledge in machine learning methods including at least one of the following: Time series analysis, Hierarchical Bayes; or learning techniques such as Decision Trees, Boosting, Random Forests.

·        Excellent communication skills and the ability to manage multiple diverse stakeholders across businesses & leadership levels.

·        Exercise sound judgment to diagnose & resolve problems within area of expertise

·        Familiarity with CI/CD development methods, Git and Docker a plus


Multiple location opportunity. Locations offered are: Atlanta, GA, Bloomington, IL, Dallas, TX and Phoenix, AZ


Remote work option is not available.


There is no sponsorship for an employment visa for the position at this time.


Competencies desired:
Critical Thinking
Leadership
Initiative
Resourcefulness
Relationship Building
Ultra Tendency
  • Riga, Lettland

You are a developer that loves to take a look at infrastructure as well? You are a systems engineer that likes to write code? Ultra Tendency is looking for you! 


Your Responsibilities:



  • Support our customers and development teams in transitioning capabilities from development and testing to operations

  • Deploy and extend large-scale server clusters for our clients

  • Fine-tune and optimize our clusters to process millions of records every day 

  • Learn something new every day and enjoy solving complex problems


Job Requirements:



  • You know Linux like the back of your hand

  • You love to automate all the things – SaltStack, Ansible, Terraform and Puppet are your daily business

  • You can write code in Python, Java, Ruby or similar languages.

  • You are driven by high quality standards and attention to detail

  • Understanding of the Hadoop ecosystem and knowledge of Docker is a plus


We offer:



  • Work with our open-source Big Data gurus, such as our Apache HBase committer and Release Manager

  • Work on the open-source community and become a contributor. Learn from open-source enthusiasts which you will find nowhere else in Germany!

  • Work in an English-speaking, international environment

  • Work with cutting edge equipment and tools