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Accenture
  • San Diego, CA
Organization: Accenture Applied Intelligence
Position: Artificial Intelligence Engineer - Consultant
The digital revolution is changing everything. Its everywhere transforming how we work and play. Accenture Digitals 36,000 professionals are driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. At the forefront of digital, youll create it, own it and make it a reality for clients looking to better serve their connected customers and operate always-on enterprises. Join us and become an integral part of our experienced digital team with the credibility, expertise and insight clients depend on.
Accenture Applied Intelligence, part of Accenture Digital, helps clients to use analytics and artificial intelligence to drive actionable insights, at scale. We apply sophisticated algorithms, data engineering and visualization to extract business insights and help clients turn those insights into actions that drive tangible outcomesto improve their performance and disrupt their markets. Accenture Applied Intelligence is a leader in big data analytics, with deep industry and technical experience. We provide services and solutions that include Analytics Advisory, Data Science, Data Engineering and Analytics-as-a-Service.
Role Description
As an AI engineer, you will facilitate the transfer of advanced AI technologies from the research labs to the domain testbeds and thus the real world. You will participate in the full research to deployment pipeline. You will help conceptualize and develop research experiments, and then implement the systems to execution these experiments. You will lead or work with a team and interact closely with deep experience machine learning engineering and research and the industry partners. You will attend reading groups and seminars, master research techniques and engineering practices, and design research tools and experimental testbeds. You will apply state-of-the-art AI algorithms, explore new solutions, and build working prototypes. You will also learn to deploy the systems and solutions at scale.
Responsibilities
    • Use Deep Learning and Machine Learning to create scalable solutions for business problems.
    • Deliver Deep Learning/Machine Learning projects from beginning to end, including business understanding, data aggregation, data exploration, model building, validation and deployment.
    • Define Architecture Reference Assets - Apply Accenture methodology, Accenture reusable assets, and previous work experience to delivery consistently high quality work. Deliver written or oral status reports regularly. Stay educated on new and emerging market offerings that may be of interest to our clients. Adapt to existing methods and procedures to create possible alternative solutions to moderately complex problems
    • Work hands on to demonstrate and prototype integrations in customer environments. Primary upward interaction is with direct supervisor. May interact with peers and/or management levels at a client and/or within Accenture.
    • Solution and Proposal Alignment - Through a formal sales process, work with the Sales team to identify and qualify opportunities. Conduct full technical discovery, identifying pain points, business and technical requirements, as is and to be scenarios.
    • Understand the strategic direction set by senior management as it relates to team goals. Use considerable judgment to define solution and seeks guidance on complex problems.
Qualifications
    • Bachelors degree in AI, Computer Science, Engineering, Statistics, Physics.
    • Minimum of 1 year of experience in production deployed solutions using artificial intelligence or machine learning techniques.
    • Minimum of 1 years previous consulting or client service delivery experience
    • Minimum of 2 years of experience with system integration architectures, private and public cloud architectures, pros/cons, transformation experience
    • Minimum of 1 year of full lifecycle deployment experience
Preferred Skills
    • Masters or PhD in Analytics, Statistic or other quantitative disciplines
    • Deep learning architectures: convolutional, recurrent, autoencoders, GANs, ResNets
    • Experience in Cognitive tools like Microsoft Bot Framework & Cognitive Services, IBM Watson, Amazon AI services
    • Deep understanding of Data structures and Algorithms
    • Deep experience in Python, C# (.NET), Scala
    • Deep knowledge with MxNet, CNTK, R, H20, TensorFlow, PyTorch
    • Highly desirable to have experience in: cuDNN, NumPY, SciPy
Professional Skill Requirements
    • Recent success in contributing to a team-oriented environment
    • Proven ability to work creatively and analytically in a problem-solving environment
    • Excellent communication (written and oral) and interpersonal skills
    • Demonstrated leadership in professional setting; either military or civilian
    • Demonstrated teamwork and collaboration in a professional setting; either military or civilian
    • Ability to travel extensively
OUR COMMITMENT TO YOU
    • Your entrepreneurial spirit and vision will be rewarded, and your success will fuel opportunities for career advancement.
    • You will make a difference for some pretty impressive clients. Accenture serves 94 of the Fortune Global 100 and more than 80 percent of the Fortune Global 500.
    • You will be an integral part of a market-leading analytics organization, including the largest and most diversified group of digital, technology, business process and outsourcing professionals in the world. You can leverage our global team to support analytics innovation workshops, rapid capability development, enablement and managed services.
    • You will have access to Accentures deep industry and functional expertise. We operate across more than 40 industries and have hundreds of offerings addressing key business and technology issues. Through our global network, we bring unparalleled experience and comprehensive capabilities across industries and business functions, and extensive research on the worlds most successful companies. You will also be able to tap into the continuous innovation of our Accenture Technology Labs and Innovation Centers, as well as top universities such as MIT through our academic alliance program.
    • You will have access to distinctive analytics assets that we use to accelerate delivering value to our clients including more than 550 analytics assets underpinned by a strong information management and BI technology foundation. Accenture has earned more than 475 patents and patents pending globally for software assets, data- and analytic-related methodologies and content.
    • As the worlds largest independent technology services provider, we are agnostic about technology but have very clear viewpoints about what is most appropriate for a clients particular challenge. You will have access to our alliances with market-leading technology providers and collaborative relationships with emerging players in the analytics and big data spacethe widest ecosystem in the industry. These alliances bring together Accentures extensive analytics capabilities and alliance providers technology, experience and innovation to power analytics-based solutions.
    • You will have access to the best talent. Accenture has a team of more than 36,000 digital professionals including technical architects, big data engineers, data scientists and business analysts, as well as user digital strategists and experience designers.
    • Along with a competitive salary, Accenture offers a comprehensive package that includes generous paid time off, 401K match and an employee healthcare plan. Learn more about our extensive rewards and benefits here: Benefits .
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 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.
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.

MINDBODY Inc.
  • Irvine, CA
  • Salary: $96k - 135k

The Senior Data Engineer focuses on designing, implementing and supporting new and existing data solutions- data processing, and data sets to support various advanced analytical needs. You will be designing, building and supporting data pipelines consuming data from multiple different source systems and transforming it into valuable and insightful information. You will have the opportunity to contribute to end-to-end platform design for our cloud architecture and work multi-functionally with operations, data science and the business segments to build batch and real-time data solutions. The role will be part of a team supporting our Corporate, Sales, Marketing, and Consumer business lines.


 
MINIMUM QUALIFICATIONS AND REQUIREMENTS:



  • 7+ years of relevant experience in one of the following areas: Data engineering, business intelligence or business analytics

  • 5-7 years of supporting a large data platform and data pipelining

  • 5+ years of experience in scripting languages like Python etc.

  • 5+ years of experience with AWS services including S3, Redshift, EMR andRDS

  • 5+ years of experience with Big Data Technologies (Hadoop, Hive, HBase, Pig, Spark, etc.)

  • Expertise in database design and architectural principles and methodologies

  • Experienced in Physical data modeling

  • Experienced in Logical data modeling

  • Technical expertise should include data models, database design and data mining



PRINCIPAL DUTIES AND RESPONSIBILITIES:



  • Design, implement, and support a platform providing access to large datasets

  • Create unified enterprise data models for analytics and reporting

  • Design and build robust and scalable data integration (ETL) pipelines using SQL, Python, and Spark.

  • As part of an Agile development team contribute to architecture, tools and development process improvements

  • Work in close collaboration with product management, peer system and software engineering teams to clarify requirements and translate them into robust, scalable, operable solutions that work well within the overall data architecture

  • Coordinate data models, data dictionaries, and other database documentation across multiple applications

  • Leads design reviews of data deliverables such as models, data flows, and data quality assessments

  • Promotes data modeling standardization, defines and drives adoption of the standards

  • Work with Data Management to establish governance processes around metadata to ensure an integrated definition of data for enterprise information, and to ensure the accuracy, validity, and reusability of metadata

Avaloq Evolution AG
  • Zürich, Switzerland

The position


Are you passionate about data architecture? Are you interested in shaping the next generation of data science driven products for the financial industry? Do you enjoy working in an agile environment involving multiple stakeholders?

Responsible for selecting appropriate technologies from open source, commercial on-premises and cloud-based offerings. Integrating a new generation of tools within the existing environment to ensure access to accurate and current data. Consider not only the functional requirements, but also the non-functional attributes of platform quality such as security, usability, and stability.

We want you to help us to strengthen and further develop the transformation of Avaloq to a data driven product company. Make analytics scalable and accelerate the process of data science innovation.


Your profile


  • PhD, Master or Bachelor degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field

  • Knowledgeable with BigData technologies and architectures (e.g. Hadoop, Spark, data lakes, stream processing)

  • Practical experience with Container Platforms (OpenShift) and/or containerization software (Kubernetes, Dockers)

  • Hands-on experience developing data extraction and transformation pipelines (ETL process)

  • Expert knowledge in RDBMS, NoSQL and Data Warehousing

  • Familiar with information retrieval software such as Elastic Search/Lucene/SOLR

  • Firm understanding of major programming/scripting languages like Java/Scala, Linux, PHP, Python and/or R

  • High integrity, responsibility and confidentiality a requirement for dealing with sensitive data

  • Strong presentation and communication skills

  • Good planning and organisational skills

  • Collaborative mindset to sharing ideas and finding solutions

  • Fluent in English; German, Italian and French a plus





 Professional requirements


  • Be a thought leader for best practice how to develop and deploy data science products & services

  • Provide an infrastructure to make data driven insights scalable and agile

  • Liaise and coordinate with stakeholders regarding setting up and running a BigData and analytics platform

  • Lead the evaluation of business and technical requirements

  • Support data-driven activities and a data-driven mindset where needed



Main place of work
Zurich

Contact
Avaloq Evolution AG
Anna Drozdowska, Talent Acquisition Professional
Allmendstrasse 140 - 8027 Zürich - Switzerland

www.avaloq.com/en/open-positions

Please only apply online.

Note to Agencies: All unsolicited résumés will be considered direct applicants and no referral fee will be acknowledged.
Avaloq Evolution AG
  • Zürich, Switzerland

The position


Are you passionate about digital technology and how it can be used to create a seamless digital customer experience? Do you enjoy engaging with clients and stakeholders to shape the next generation of banking applications? Do you thrive when challenged to design solutions using cutting-edge artificial intelligence (AI)/machine learning (ML), data and digital technologies?

As Digital and AI Consultant, you will play a key role in driving Avaloq’s digital and AI agenda to write the future of banking by identifying, designing and advocating state-of-the-art financial solutions which include components across the AI/ML, data and digital technology spectrum. You will use your extensive expertise in AI/ML, data and digital technologies to contribute to a seamless digital customer experience across Avaloq’s products and services, closely collaborating with clients and stakeholders across Avaloq on senior management and operational level. A balanced mix of strategic and analytical capabilities as well as a hands-on attitude are key for the success of the role.


Your responsibilities


  • Proactively identify opportunities and use cases for the financial industry liaising with relevant stakeholders and develop solution concepts using elements across the Data, Artificial Intelligence/ML and digital technology spectrum

  • Identify AI capabilities that should be delivered through strategic partners/vendors and liaise with them to assess opportunities for collaboration

  • Provide leadership and best practices around AI/ML and digital capabilities and methods to support the realisation of business initiatives

  • Liaise with relevant stakeholders to define and drive Avaloq`s digital strategy and roadmap

  • Support the development of prototypes and proof-of-concepts contributing to a seamless digital customer experience of Avaloq`s products and services

  • Teach and mentor colleagues in the use of AI, machine learning, data and new technologies




Skills and qualifications


  • Master’s degree in Computer Science, Maths, Artificial Intelligence or a related discipline

  • 5+ years of relevant work experience, with a focus on AI/ML, data and digital technologies

  • Experience in collaborating with senior leadership, clients, business and IT

  • Strong client-centric mindset and a high level of business acumen

  • Proven experience in applying AI/ML, data and digital technology methods to business problems

  • Good working knowledge of AI/ML, data and digital technologies, e.g. predictive analytics, recommender systems, deep learning, NLP, image recognition and blockchain

  • Good understanding of technological enablers (e.g. API technology) for creating a seamless digital customer experience

  • Strong oral, written and presentation skills

  • Excellent organizational and problem-solving skills

  • Experience with AI/ML platforms and frameworks, e.g. AWS, Watson, Tensorflow, Keras, Pytorch, Caffe, etc. is a plus

  • Practical experience with digital and big data technologies (e.g. smart contracts, cryptocurrencies, IoT, RPA, Hadoop) is a plus

  • Work experience in the financial industry or in financial/technology consulting is a plus

  • Fluent in German and English





Main place of work
Zurich

Contact
Avaloq Evolution AG
Anna Drozdowska, Talent Acquisition Professional
Allmendstrasse 140 - 8027 Zürich - Switzerland

www.avaloq.com/en/open-positions

Please only apply online.

Note to Agencies: All unsolicited résumés will be considered direct applicants and no referral fee will be acknowledged.

ITCO Solutions, Inc.
  • Austin, TX

The Sr. Engineer will be building pipelines using Spark ScalaMust Haves:
Expertise in the Big Data processing and ETL Pipeline
Designing large scaling ETL pipelines - batch and realtime
Expertise in Spark Scala coding and Data Frame API (rather than the SQL based APIs)
Expertise in core Data Frame APIs
Expertise in doing unit testing Spark Data frame API based code
Strong in Scripting knowledge using Python and shell scripting
Experience and expertise in working on performance tuning of large scale data pipelines

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 

ConocoPhillips
  • Houston, TX
Our Company
ConocoPhillips is the worlds largest independent E&P company based on production and proved reserves. Headquartered in Houston, Texas, ConocoPhillips had operations and activities in 17 countries, $71 billion of total assets, and approximately 11,100 employees as of Sept. 30, 2018. Production excluding Libya averaged 1,221 MBOED for the nine months ended Sept. 30, 2018, and proved reserves were 5.0 billion BOE as of Dec. 31, 2017.
Employees across the globe focus on fulfilling our core SPIRIT Values of safety, people, integrity, responsibility, innovation and teamwork. And we apply the characteristics that define leadership excellence in how we engage each other, collaborate with our teams, and drive the business.
Description
The Sr. Analytics Analyst will be part of the Production, Drilling, and Projects Analytics Services Team within the Analytics Innovation Center of Excellence that enables data analytics across the ConocoPhillips global enterprise. This role works with business units and global functions to help strategically design, implement, and support data analytics solutions. This is a full-time position that provides tremendous career growth potential within ConocoPhillips.
Responsibilities May Include
  • Complete end to end delivery of data analytics solutions to the end user
  • Interacting closely with both business and developers while gathering requirements, designing, testing, implementing and supporting solutions
  • Gather business and technical specifications to support analytic, report and database development
  • Collect, analyze and translate user requirements into effective solutions
  • Build report and analytic prototypes based on initial business requirements
  • Provide status on the issues and progress of key business projects
  • Providing regular reporting on the performance of data analytics solutions
  • Delivering regular updates and maintenance on data analytics solutions
  • Championing the data analytics solutions and technologies at ConocoPhillips
  • Integrate data for data models used by the customers
  • Deliver Data Visualizations used for data driven decision making
  • Provide strategic technology direction while supporting the needs of the business
Basic/Required
  • Legally authorized to work in the United States
  • 5+ years of related IT experience
  • 5+ year of Structure Querying Language experience (ANSI SQL, T-SQL, PL/SQL)
  • 3+ years hands-on experience delivering solutions with an Analytics Tools i.e. (Spotfire, SSRS, Power BI, Tableau, Business Objects)
Preferred
  • Bachelor's Degree in Information Technology or Computer Science
  • 5+ years of Oil and Gas Industry experience
  • 5+ years hands-on experience delivering solutions with Informatica PowerCenter
  • 5+ years architecting data warehouses and/or data lakes
  • 5+ years with Extract Transform and Load (ETL) tools and best practices
  • 3+ years hands-on experience delivering solutions with Teradata
  • 1+ years developing analytics models with R or Python
  • 1+ years developing visualizations using R or Python
  • Experience with Oracle (11g, 12c) and SQL Server (2008 R2, 2010, 2016) and Teradata 15.x
  • Experience with Hadoop technologies (Hortonworks, Cloudera, SQOOP, Flume, etc.)
  • Experience with AWS technologies (S3, SageMaker, Athena, EMR, Redshift, Glue, etc.)
  • Thorough understanding of BI/DW concepts, proficient in SQL, and data modeling
  • Familiarity with ETL tools (Informatica, etc.) and ETL processes
  • Solutions oriented individual; learn quickly, understand complex problems, and apply useful solutions
  • Ability to work in a fast-paced environment independently with the customer
  • Ability to work as a team player
  • Ability to work with business and technology users to define and gather reporting and analytics requirements
  • Strong analytical, troubleshooting, and problem-solving skills experience in analyzing and understanding business/technology system architectures, databases, and client applications to recognize, isolate, and resolve problems
  • Demonstrates the desire and ability to learn and utilize new technologies in data analytics solutions
  • Strong communication and presentation skills
  • Takes ownership of actions and follows through on commitments by courageously dealing with important problems, holding others accountable, and standing up for what is right
  • Delivers results through realistic planning to accomplish goals
  • Generates effective solutions based on available information and makes timely decisions that are safe and ethical
To be considered for this position you must complete the entire application process, which includes answering all prescreening questions and providing your eSignature on or before the requisition closing date of February 20, 2019.
Candidates for this U.S. position must be a U.S. citizen or national, or an alien admitted as permanent resident, refugee, asylee or temporary resident under 8 U.S.C. 1160(a) or 1255(a) (1). Individuals with temporary visas such as A, B, C, D, E, F, G, H, I, J, L, M, NATO, O, P, Q, R or TN or who need sponsorship for work authorization in the United States now or in the future, are not eligible for hire.
ConocoPhillips is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, gender identity or expression, genetic information or any other legally protected status.
Job Function
Information Management-Information Technology
Job Level
Individual Contributor/Staff Level
Primary Location
NORTH AMERICA-USA-TEXAS-HOUSTON
Organization
ANALYTICS INNOVATION
Line of Business
Corporate Staffs
Job Posting
Feb 13, 2019, 4:56:49 PM
Riccione Resources
  • Dallas, TX

Sr. Data Engineer Hadoop, Spark, Data Pipelines, Growing Company

One of our clients is looking for a Sr. Data Engineer in the Fort Worth, TX area! Build your data expertise with projects centering on large Data Warehouses and new data models! Think outside the box to solve challenging problems! Thrive in the variety of technologies you will use in this role!

Why should I apply here?

    • Culture built on creativity and respect for engineering expertise
    • Nominated as one of the Best Places to Work in DFW
    • Entrepreneurial environment, growing portfolio and revenue stream
    • One of the fastest growing mid-size tech companies in DFW
    • Executive management with past successes in building firms
    • Leader of its technology niche, setting the standards
    • A robust, fast-paced work environment
    • Great technical challenges for top-notch engineers
    • Potential for career growth, emphasis on work/life balance
    • A remodeled office with a bistro, lounge, and foosball

What will I be doing?

    • Building data expertise and owning data quality for the transfer pipelines that you create to transform and move data to the companys large Data Warehouse
    • Architecting, constructing, and launching new data models that provide intuitive analytics to customers
    • Designing and developing new systems and tools to enable clients to optimize and track advertising campaigns
    • Using your expert skills across a number of platforms and tools such as Ruby, SQL, Linux shell scripting, Git, and Chef
    • Working across multiple teams in high visibility roles and owning the solution end-to-end
    • Providing support for existing production systems
    • Broadly influencing the companys clients and internal analysts

What skills/experiences do I need?

    • B.S. or M.S. degree in Computer Science or a related technical field
    • 5+ years of experience working with Hadoop and Spark
    • 5+ years of experience with Python or Ruby development
    • 5+ years of experience with efficient SQL (Postgres, Vertica, Oracle, etc.)
    • 5+ years of experience building and supporting applications on Linux-based systems
    • Background in engineering Spark data pipelines
    • Understanding of distributed systems

What will make my résumé stand out?

    • Ability to customize an ETL or ELT
    • Experience building an actual data warehouse schema

Location: Fort Worth, TX

Citizenship: U.S. citizens and those authorized to work in the U.S. are encouraged to apply. This company is currently unable to provide sponsorship (e.g., H1B).

Salary: 115 130k + 401k Match

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~SW1317~

Signify Health
  • Dallas, TX

Position Overview:

Signify Health is looking for a savvy Data Engineer to join our growing team of deep learning specialists. This position would be responsible for evolving and optimizing data and data pipeline architectures, as well as, optimizing data flow and collection for cross-functional teams. The Data Engineer will support software developers, database architects, data analysts, and data scientists. The ideal candidate would be self-directed, passionate about optimizing data, and comfortable supporting the Data Wrangling needs of multiple teams, systems and products.

If you enjoy providing expert level IT technical services, including the direction, evaluation, selection, configuration, implementation, and integration of new and existing technologies and tools while working closely with IT team members, data scientists, and data engineers to build our next generation of AI-driven solutions, we will give you the opportunity to grow personally and professionally in a dynamic environment. Our projects are built on cooperation and teamwork, and you will find yourself working together with other talented, passionate and dedicated team member, all working towards a shared goal.

Essential Job Responsibilities:

  • Assemble large, complex data sets that meet functional / non-functional business requirements
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing data models for greater scalability, etc.
  • Leverage Azure for extraction, transformation, and loading of data from a wide variety of data sources in support of AI/ML Initiatives
  • Design and implement high performance data pipelines for distributed systems and data analytics for deep learning teams
  • Create tool-chains for analytics and data scientist team members that assist them in building and optimizing AI workflows
  • Work with data and machine learning experts to strive for greater functionality in our data and model life cycle management capabilities
  • Communicate results and ideas to key decision makers in a concise manner
  • Comply with applicable legal requirements, standards, policies and procedures including, but not limited to the Compliance requirements and HIPAA.


Qualifications:Education/Licensing Requirements:
  • High school diploma or equivalent.
  • Bachelors degree in Computer Science, Electrical Engineer, Statistics, Informatics, Information Systems, or another quantitative field. or related field or equivalent work experience.


Experience Requirements:
  • 5+ years of experience in a Data Engineer role.
  • Experience using the following software/tools preferred:
    • Experience with big data tools: Hadoop, Spark, Kafka, etc.
    • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
    • Experience with AWS or Azure cloud services.
    • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
    • Experience with object-oriented/object function scripting languages: Python, Java, C#, etc.
  • Strong work ethic, able to work both collaboratively, and independently without a lot of direct supervision, and solid problem-solving skills
  • Must have strong communication skills (written and verbal), and possess good one-on-one interpersonal skills.
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable big data data stores.
  • 2 years of experience in data modeling, ETL development, and Data warehousing
 

Essential Skills:

  • Fluently speak, read, and write English
  • Fantastic motivator and leader of teams with a demonstrated track record of mentoring and developing staff members
  • Strong point of view on who to hire and why
  • Passion for solving complex system and data challenges and desire to thrive in a constantly innovating and changing environment
  • Excellent interpersonal skills, including teamwork and negotiation
  • Excellent leadership skills
  • Superior analytical abilities, problem solving skills, technical judgment, risk assessment abilities and negotiation skills
  • Proven ability to prioritize and multi-task
  • Advanced skills in MS Office

Essential Values:

  • In Leadership Do whats right, even if its tough
  • In Collaboration Leverage our collective genius, be a team
  • In Transparency Be real
  • In Accountability Recognize that if it is to be, its up to me
  • In Passion Show commitment in heart and mind
  • In Advocacy Earn trust and business
  • In Quality Ensure what we do, we do well
Working Conditions:
  • Fast-paced environment
  • Requires working at a desk and use of a telephone and computer
  • Normal sight and hearing ability
  • Use office equipment and machinery effectively
  • Ability to ambulate to various parts of the building
  • Ability to bend, stoop
  • Work effectively with frequent interruptions
  • May require occasional overtime to meet project deadlines
  • Lifting requirements of
Sentek Global
  • San Diego, CA

Sentek Global is seeking a Software Engineer to provide support to PMW 150 in San Diego, CA!


Responsibilities
  • Design, build and maintain software, develop software infrastructure and development environments, and transition older products and capabilities to the new architectures.
  • Produce effective and powerful solutions to complex problems in areas such assoftware engineering, data analytics, automation,and cybersecurity.
  • Perform analysis of existing and emerging operational and functional requirements to support the current and future systems capabilities and requirements.
  • Provide technical expertise, guidance, architecture, development and support in many different technologies directly to government customers.
  • Perform schedule planning and program management tasks as required.
  • Perform Risk Analysis for implementation of program requirements.
  • Assist in the development of requirements documents.
  • Other duties as required.


Qualifications
  • A current active secret clearance is required to be considered for this role.
  • A Bachelors Degree in data science, data analytics, computer science, or a related technical discipline is required.
  • Three to five (3-5) years providing software engineering support to a DoD program office.
  • Experience working with data rich problems through research or programs.
  • Experience with computer programming or user experience/user interface.
  • Demonstrated knowledge completing projects with large or incomplete data and ability to recommend solutions.
  • Experience with Machine Learning algorithms including convolutional neural networks (CNN), regression, classification, clustering, etc.
  • Experience using deep learning frameworks (preferably TensorFlow).
  • Experience designing and developing professional software using Linux, Python, C++, JAVA, etc.
    • Experience applying Deep/Machine Learning technology to solve real-world problems:
    • Selecting features, building and optimizing classifiers using machine learning techniques.
    • Data mining using state-of-the-art methods.
    • Extending companys data with third party sources of information when needed.
    • Enhancing data collection procedures to include information that is relevant for building analytic systems.
  • Experience processing, cleansing, and verifying the integrity of data used for analysis.
  • Experience performing ad-hoc analyses and presenting results in a clear manner.
  • Experience creating automated anomaly detection systems and constant tracking of its performance.
  • Must be able to travel one to three (1-3) times per year.
KELZAL (QELZAL CORPORATION)
  • San Diego, CA

Challenge:

As Kelzals Machine Learning Engineer, youwill be part of an innovative team that designs and develops algorithms and software for the next generation of AI-enabled visual systems. You will develop power-efficient machine learning and adaptive signal processing algorithms to solve real-world imaging and video classification problems.


Responsibilities:

  • Develop algorithms for the fast, low-complexity and accurate detection and tracking of objects in real-world environments
  • Develop algorithms for event-based spatio-temporal signal processing
  • Contribute to our machine learning tool sets for curating data and training models
  • Inform sensor decisions for optimal approaches to classification for product requirements
  • Follow and drive research on state-of-the-art approaches in the areas described above, as applied to the problems we're solving


Requirements:

·      Experience in event-based signal processing

·      Experience in continuous-time signal processing techniques

·      Experience in some deep neural network packages (e.g. TensorFlow, NVIDIA Digits,             Caffe/Caffe2)

·      Experience with OpenCV

·      Experience with traditional computer vision approaches to image processing

·      Experience with developing machine-learning algorithms for multi-modal object detection,         scene understanding, semantic classification, face verification, human pose estimation, activity recognition, or anomaly detection

·      Strong experience with classification and regression algorithms

·      Strong coding skills with Python and/or C/C++ in Linux environment

·      Track record of research excellence or/and experience converting publications to actual implementations

·      Experience with commercial development processes such as continuous integration, deployment and release management tools a plus.

·      Experience launching products containing machine learning algorithms a plus

·      Experience with fixed point implementation a plus

·      3+ years hands-on experience working in industry

·      MS or PhD Degree in Computer Science, Electrical Engineering or a related field

.      Current US work authorization

Biswas Information Technology Solutions
  • Herndon, VA

We are seeking a junior-mid level Data Science Engineer to analyze large amounts of raw data from different sources to extract valuable business insights to aid in better business decision-making. Analytical mind, problem-solving skills and passion for machine-learning and research are critical for this role. You will be part of a highly passionate development team that is in the process of refining our Data Science toolkit that includes a wide set of predictive, recommendation, and inference modeling for our AI product — ranging from time-series forecasting, sentiment analysis, custom object-detection, to named-entity recognition, text summarization, and geometric deep learning.



Responsibilities



  • Identify valuable data sources and automate collection processes

  • Preprocessing of structured and unstructured data

  • Discover trends and patterns in large amounts of data

  • Build predictive models and machine-learning algorithms

  • Present information using data visualization techniques

  • Propose solutions and strategies to business challenges

  • Collaborate with engineering and product development teams



Requirements



  • Strong fundamentals in training, evaluating, and benchmarking machine learning models

  • Strong in Python Numpy, Pandas, keras (tensorflow or pytorch is a plus)

  • Familiar with Feature selection, Feature Extraction (especially for deep learning is a plus++)

  • Familiarity of common Hyper-optimization Techniques with different AI models.

  • Experience handling large data sets

  • Familiarity with BI tools (e.g. Tableau) and data frameworks (e.g. Hadoop)

  • Strong math skills (e.g. statistics, algebra)

  • Problem-solving aptitude

  • Excellent communication and presentation skills

  • 3 to 5 years of experience in the above is preferred

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.
SoftClouds LLC
  • San Diego, CA

Job Overview: SoftClouds is looking for a Data Engineer to join our analytics platform team in designing and developing the next generation data and analytics solutions. The candidate should have deep technical skills as well as the ability to understand data and analytics, and an openness to working with disparate platforms, data sources and data formats.


Roles and Responsibilities:
  • Experience with MySQL, MS SQL Server, or Hadoop, or MongoDB.
  • Writing SQL Queries, tables joins.
  • AWS, python, or bash shell scripting
  • Have some experience pulling data from Hadoop.
  • Analyze data, system and data flows and develop effective ways to store and present data in BI applications
  • ETL experience a plus.
  • Work with data from disparate environments including Hadoop, MongoDB Talend, and other SQL and NoSQL data stores
  • Help develop the next generation analytics platform
  • Proactively ensure data integrity and focus on continuous performance improvements of existing processes.


Required skills and experience:
  • 5  or more years of experience in software development
  • 3 year of experience in writing Data applications using Spark
  • Experience in Java and Python
  • Familiarity  with Agile development methodology `
  • Experience with Scala is a plus
  • Experience with NoSQL databases, e.g., Cassandra is a plus
  • Expertise in Apache Spark & Hadoop.
  • Expertise in machine learning algorithms


Education / Experience:

  • Bachelor's Degree in Engineering or Computer Science or related field required.
  • U.S. Citizens/GC/GC EAD are encouraged to apply. We are unable to sponsor at this time. NO C2C or third-party agencies.



Applied Resource Group
  • Atlanta, GA

Applied Resource Group is seeking a talented and experienced Data Engineer for our client, an emerging leader in the transit solutions space. As an experienced Data Engineer on the Data Services team, you will lead the design, development and maintenance of comprehensible data pipelines and distributed systems for data extraction, analysis, transformation, modelling and visualization. They're looking for independent thinkers that are passionate about technology and building solutions that continually improve the customer experience. Excellent communication skills and the ability to work collaboratively with teams is critical.
 

Job Duties/Responsibilities:

    • Building a unified data services platform from scratch, leveraging the most suitable Big Data tools following technical requirements and needs
    • Exploring and working with cutting edge data processing technologies
    • Work with distributed, scalable cloud-based technologies
    • Collaborating with a talented team of Software Engineers working on product development
    • Designing and delivering BI solutions to meet a wide range of reporting needs across the organization
    • Providing and maintaining up to date documentation to enable a clear outline of solutions
    • Managing task lists and communicating updates to stakeholders and team members following Agile Scrum methodology
    • Working as a key member of the core team to support the timely and efficient delivery of critical data solutions

 
Experience Needed:
 

    • Experience with AWS technologies are desired, especially those used for Data Analytics, including some of these: EMR, Glue, Data Pipelines, Lambda, Redshift, Athena, Kinesis, Elasticache, Aurora
    • Minimum of 5 years working in developing and building data solutions
    • Experience as an ETL/Data warehouse developer with knowledge in design, development and delivery of end-to-end data integration processes
    • Deep understanding of data storage technologies for structured and unstructured data
    • Background in programming and knowledge of programming languages such as Java, Scala, Node.js, Python.
    • Familiarity with cloud services (AWS, Azure, Google Cloud)
    • Experience using Linux as a primary development environment
    • Knowledge of Big data systems - Hadoop, pig, hive, shark/spark etc. a big plus.
    • Knowledge of BI platforms such as Tableau, Jaspersoft etc.
    • Strong communication and analytical skills
    • Capable of working independently under the direction of the Head of Data Services
    • Excellent communication, analytical and problem-solving skills
    • Ability to initially take direction and then work on own initiative
    • Experience working in AGILE

 
Nice-to-have experience and skills:

    • Masters in Computer-Science, Computer Engineering or equivalent  
    • Building data pipelines to perform real-time data processing using Spark Streaming and Kafka, or similar technologies.
Booz Allen Hamilton - Tagged
  • San Diego, CA
Job Description
Job Number: R0042382
Data Scientist, Mid
The Challenge
Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by machine learning, artificial intelligence advances, and IoT? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection, to cancer research, to national intelligence-you know the answers are in the data.
We have an opportunity for you to use your analytical skills to improve the DoD and federal agencies. Youll work closely with your customer to understand their questions and needs, then dig into their data-rich environment to find the pieces of their information puzzle. Youll develop algorithms, write scripts, build predictive analytics, use automation, and apply machine learning to turn disparate data points into objective answers to help our nations services and leaders make data-driven decisions. Youll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in the DoD and federal agencies.
Empower change with us.
Build Your Career
At Booz Allen, we know the power of data science and machine intelligence and were dedicated to helping you grow as a data scientist. When you join Booz Allen, you can expect:
  • access to online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, Splunk, and other open source and emerging tools
  • a chance to change the world with the Data Science Bowlthe worlds premier data science for social good competition
  • participation in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government
Youll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications? Take advantage of our tuition assistance, on-site bootcamps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. Well help you develop the career you want as you chart your own course for success.
You Have
  • Experience with one or more statistical analytical programming languages, including Python or R
  • Experience with source control and dependency management software, including Git or Maven
  • Experience with using relational databases, including MySQL
  • Experience with identifying analytic insight in data, developing visualizations, and presenting findings to stakeholders
  • Knowledge of object-oriented programming, including Java and C++
  • Knowledge of various machine learning algorithms and their designs, capabilities, and limitations
  • Knowledge of statistical analysis techniques
  • Ability to build complex extraction, transformation, and loading (ETL) pipelines to clean and fuse data together
  • Ability to obtain a security clearance
  • BA or BS degree
Nice If You Have
  • Experience with designing and implementing custom machine learning algorithms
  • Experience with graph algorithms and semantic Web
  • Experience with designing and setting up relational databases
  • Experience with Big Data computing environments, including Hadoop
  • Experience with Navy mission systems
  • MA degree in Mathematics, CS, or a related quantitative field
Clearance
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Were an EOE that empowers our peopleno matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or veteran statusto fearlessly drive change.
, CJ1, GD13, MPPC, SIG2017
phData, Inc.
  • Minneapolis, MN

Title: Big Data Solutions Architect (Minneapolis or US Remote)


Join the Game-Changers in Big Data  


Are you inspired by innovation, hard work and a passion for data?    


If so, this may be the ideal opportunity to leverage your background in Big Data and Software Engineering, Data Engineering or Data Analytics experience to design, develop and innovate big data solutions for a diverse set of clients.  


As a Solution Architect on our Big Data Consulting team, your responsibilities include:


    • Design, develop, and innovative Big Data solutions; partner with our internal Managed Services Architects and Data Engineers to build creative solutions to solve tough big data problems.  
    • Determine the project road map, select the best tools, assign tasks and priorities, and assume general project management oversight for performance, data integration, ecosystem integration, and security of big data solutions
    • Work across a broad range of technologies from infrastructure to applications to ensure the ideal Big Data solution is implemented and optimized
    • Integrate data from a variety of data sources (data warehouse, data marts) utilizing on-prem or cloud-based data structures (AWS); determine new and existing data sources
    • Design and implement streaming, data lake, and analytics big data solutions

    • Create and direct testing strategies including unit, integration, and full end-to-end tests of data pipelines

    • Select the right storage solution for a project - comparing Kudu, HBase, HDFS, and relational databases based on their strengths

    • Utilize ETL processes to build data repositories; integrate data into Hadoop data lake using Sqoop (batch ingest), Kafka (streaming), Spark, Hive or Impala (transformation)

    • Partner with our Managed Services team to design and install on prem or cloud based infrastructure including networking, virtual machines, containers, and software

    • Determine and select best tools to ensure optimized data performance; perform Data Analysis utilizing Spark, Hive, and Impala

    • Mentor and coach Developers and Data Engineers. Provide guidance with project creation, application structure, automation, code style, testing, and code reviews

Qualifications

  • 5+ years previous experience as a Software Engineer, Data Engineer or Data Analytics - combined with an expertise in Hadoop Technologies and Java programming
  • Technical Leadership experience leading/mentoring junior software/data engineers, as well as scoping activities on large scale, complex technology projects
  • Expertise in core Hadoop technologies including HDFS, Hive and YARN.  
  • Deep experience in one or more ecosystem products/languages such as HBase, Spark, Impala, Solr, Kudu, etc
  • Expert programming experience in Java, Scala, or other statically typed programming language
  • Strong working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queries
  • Excellent communication skills including proven experience working with key stakeholders and customers
  • Ability to translate big picture business requirements and use cases into a Hadoop solution, including ingestion of many data sources, ETL processing, data access and consumption, as well as custom analytics
  • Customer relationship management including project escalations, and participating in executive steering meetings
  • Ability to learn new technologies in a quickly changing field
phData, Inc.
  • Minneapolis, MN

Title: Big Data Solutions Architect (Minneapolis or US Remote)


Join the Game-Changers in Big Data  


Are you inspired by innovation, hard work and a passion for data?    


If so, this may be the ideal opportunity to leverage your background in Big Data and Software Engineering, Data Engineering or Data Analytics experience to design, develop and innovate big data solutions for a diverse set of clients.  


As a Solution Architect on our Big Data Consulting team, your responsibilities include:


    • Design, develop, and innovative Big Data solutions; partner with our internal Managed Services Architects and Data Engineers to build creative solutions to solve tough big data problems.  
    • Determine the project road map, select the best tools, assign tasks and priorities, and assume general project management oversight for performance, data integration, ecosystem integration, and security of big data solutions
    • Work across a broad range of technologies from infrastructure to applications to ensure the ideal Big Data solution is implemented and optimized
    • Integrate data from a variety of data sources (data warehouse, data marts) utilizing on-prem or cloud-based data structures (AWS); determine new and existing data sources
    • Design and implement streaming, data lake, and analytics big data solutions

    • Create and direct testing strategies including unit, integration, and full end-to-end tests of data pipelines

    • Select the right storage solution for a project - comparing Kudu, HBase, HDFS, and relational databases based on their strengths

    • Utilize ETL processes to build data repositories; integrate data into Hadoop data lake using Sqoop (batch ingest), Kafka (streaming), Spark, Hive or Impala (transformation)

    • Partner with our Managed Services team to design and install on prem or cloud based infrastructure including networking, virtual machines, containers, and software

    • Determine and select best tools to ensure optimized data performance; perform Data Analysis utilizing Spark, Hive, and Impala

    • Mentor and coach Developers and Data Engineers. Provide guidance with project creation, application structure, automation, code style, testing, and code reviews

Qualifications

  • 5+ years previous experience as a Software Engineer, Data Engineer or Data Analytics - combined with an expertise in Hadoop Technologies and Java programming
  • Technical Leadership experience leading/mentoring junior software/data engineers, as well as scoping activities on large scale, complex technology projects
  • Expertise in core Hadoop technologies including HDFS, Hive and YARN.  
  • Deep experience in one or more ecosystem products/languages such as HBase, Spark, Impala, Solr, Kudu, etc
  • Expert programming experience in Java, Scala, or other statically typed programming language
  • Strong working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queries
  • Excellent communication skills including proven experience working with key stakeholders and customers
  • Ability to translate big picture business requirements and use cases into a Hadoop solution, including ingestion of many data sources, ETL processing, data access and consumption, as well as custom analytics
  • Customer relationship management including project escalations, and participating in executive steering meetings
  • Ability to learn new technologies in a quickly changing field
Amy Cell Talent
  • Ann Arbor, MI

Do you have a passion for machine learning and analytics software? If yes, we have an amazing opportunity with a leading-edge Ann Arbor company.


Purpose of Job


This Machine Learning Scientist will leverage Artificial Intelligence, Machine Learning, and Data Science to improve, transfer, and create innovative techniques for source code and software development analytics, with a focus on automated programming.


Tasks and Responsibilities


Sema is looking for a Machine Learning Scientist to assist with developing multimodal models which leverage various techniques and metrics in source code and software development. This scientist will be part of a multidisciplinary team working to create first of kind methods that would improve the detection of poor software quality and process, as well as prediction, prevention, and correction of software quality issues.


Please note: This position will begin remotely, eventually migrating to one of our hubs in SE Michigan, Baltimore or other. A portion of your compensation may be in equity.


Also note that no sponsorship is available. Must be a U.S. Citizen or Green Card Holder.


Minimum Qualifications (Must have)



  • Machine learning experience

  • MS in Computer Science, Statistics, Data Science or related field, or equivalent intensive training and accompanying portfolio

  • Strong proficiency and understanding of machine learning algorithms & principles, deep learning, probabilistic models, and Bayesian and statistical design

  • Strong proficiency with Python and high performance computing

  • Experience with DL & ML libraries (tensorflow, keras, pytorch, sklearn)

  • Coding experience from inception through implementation in a production environment

  • Experience with cloud programming and architectures (AWS)

  • Solid understanding of good programming practices, architecture, design patterns and unit & e2e testing

  • Excellent communication and presentation skills

  • Known for passion and perseverance to pursue long-term goals through short-term high performance

  • Energized by driving innovative solutions and adapting quickly to new data

  • Demonstrate outstanding personal initiative and the ability to work effectively as part of a team

  • Desire to apply your skills in the service of a greater mission – fully automating the world’s software maintenance


Preferred Qualifications



  • Excellent software engineering skills in Python, Java, or C++

  • Domain experience in software analysis, parsers and grammars, and/or compilers

  • Experience working in Industry

  • Experience working with missing, time-series, high-dimensional, noisy, labeled, and sparse datasets

  • Experience working with graph traversal techniques, DAGs, and using ML & DL with graph data and graph networks

  • Experience running experimental ML and DL pipelines, hyper-parameter tuning, and training on large datasets

  • Experience in a start-up environment

  • Experience with causal and counterfactual inference


Compensation



  • We offer competitive compensation including stock options, and the rare opportunity to contribute significantly to the growth of a new company from the very beginning.

  • We will consider and adjust the level of responsibility and compensation for exceptional candidates with different levels of seniority and experience.