Pacific Northwest National Laboratory - Concord, NH

posted 2 months ago

Full-time - Entry Level
Concord, NH
Professional, Scientific, and Technical Services

About the position

The Data Engineer 2 position at Pacific Northwest National Laboratory (PNNL) focuses on supporting the Earth and Biological Sciences Directorate (EBSD) in their research efforts. This role involves collaborating with researchers to develop and apply advanced simulation techniques to address research problems pertinent to the Department of Energy's Biological and Environmental Research (DOE-BER) missions. The successful candidate will be responsible for designing, building, deploying, and maintaining data pipelines and ETL workflows, as well as managing data and computing environments. This includes implementing and configuring third-party solutions and participating in software engineering tasks using Python or other programming languages. In addition to the technical aspects, the Data Engineer will work on data migration and ingestion projects, collaborating with users to design large-scale data processing systems. The role requires developing data pipelines that are optimized for scaling and troubleshooting any potential challenges that may arise within the data platform. Ensuring the quality, availability, and integrity of data and solutions is paramount, and the engineer will need to integrate proactive strategies and best practices regarding data integrity, security, and scalability into their work. The position also involves cross-functional partnerships to build and enhance existing constructs and to solve various data engineering problems. This collaborative environment is essential for driving innovation and ensuring that the data systems effectively support the research objectives of the laboratory.

Responsibilities

  • Collaborate with researchers on data development and application of advanced simulation techniques relevant to DOE-BER missions.
  • Design, build, deploy, and maintain data pipelines and ETL workflows.
  • Implement and configure third-party solutions, participating in software engineering work in Python or other programming languages.
  • Work on data migrations and ingestion projects, designing large-scale data processing systems.
  • Develop data pipelines optimized for scaling and troubleshoot potential data platform challenges.
  • Ensure quality, availability, and integrity of data and solutions, integrating best practices regarding data integrity, security, and scalability.
  • Partner cross-functionally to build and improve new/existing constructs and solve data engineering problems.

Requirements

  • BS/BA and 2 years of relevant experience -OR- MS/MA -OR- PhD
  • Experience with ETL, SQL, NoSQL, and Data Management frameworks.
  • Proficiency in backend languages and tools such as Python and PostgreSQL.
  • Hands-on experience with any commercial Lab information management system (LIMS).

Nice-to-haves

  • Experience with cloud-based data solutions.
  • Familiarity with data visualization tools and techniques.
  • Knowledge of machine learning frameworks and applications.

Benefits

  • Health insurance
  • Flexible work schedules
  • Telework options
  • Dental insurance
  • Vision insurance
  • Health savings account
  • Flexible spending accounts
  • Basic life insurance
  • Disability insurance
  • Employee assistance program
  • Business travel insurance
  • Tuition assistance
  • Supplemental parental bonding leave
  • Surrogacy and adoption assistance
  • Fertility support
  • Company funded pension plan
  • 401k savings plan
  • Up to 120 vacation hours per year
  • Ten paid holidays per year
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