Data Engineer

Mid-Senior Level | Full-time Information Technology/Computing | Livermore, CA | 10/21/2026

Reference #: REF
8951DJob Code: SES.
2 Science & Engineering MTS 2 / SES.
3 Science & Engineering MTS 3

Organization:
Computing Position Type:
Career Indefinite Security Clearance:
Anticipated DOE Q clearance (requires U.S. citizenship and a federal background investigation)
Drug Test:
Required for external applicant(s) selected for this position (includes testing for use of marijuana)
Medical Exam:
Not applicable
Company Description Join us and make YOUR mark on the World!

Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.

Job Description We have an opening for a Data Engineer to build and modernize data systems that make mission-critical scientific and engineering data discoverable, reusable, and available for analysis. You will partner with scientists, engineers, software developers, and data stewards to understand complex experimental and operational workflows and translate them into reliable data products.

The work spans structured and unstructured data, automated pipelines, metadata and schema design, data quality and lineage, APIs, visualization, and integration with modern data platforms. You will have opportunities to improve legacy processes, introduce reusable engineering practices, and help shape how research data is managed and shared within LLNL and across the National Nuclear Security Administration complex.

This position is in the Applications, Simulations, and Quality Division within the Computing Directorate, supporting Strategic Deterrence data management programs.

Depending on your assignment, this position may offer a hybrid schedule, blending in-person and virtual presence. You may have the flexibility to work from home one or more days per week.

This position will be filled at either level based on knowledge and related experience as assessed by the hiring team. Additional job responsibilities and qualifications will apply if hired at the higher level.

You will Design, build, test, and maintain automated pipelines that ingest, transform, validate, and publish structured and unstructured scientific or engineering data.

Partner with scientists and engineers to understand their workflows and translate their needs into data requirements, schemas, metadata, APIs, and reusable data products.

Develop and apply data quality, lineage, governance, and metadata practices that make data easier to discover, understand, and reuse.

Build interfaces, APIs, dashboards, or other tools that allow technical users to explore data and incorporate it into analysis workflows.

Apply Data Ops and software engineering practices - including version control, automated testing, CI/CD, documentation, and containerization - to improve reliability and reproducibility.

Evaluate data platforms, storage technologies, and commercial or open-source tools, and recommend solutions based on mission needs, security constraints, maintainability, and cost.

Communicate data architectures, tradeoffs, risks, and progress clearly to technical and nontechnical stakeholders.

Collaborate across application, platform, data governance, and infrastructure teams to establish shared standards and integration approaches.

Perform other duties as assigned.

Additional job responsibilities at the SES.
3 level

Independently define and deliver solutions to complex, ambiguous data management problems spanning multiple projects, organizations, or scientific disciplines.

Set technical direction, evaluate architectural tradeoffs, and provide technical leadership or mentorship for data engineering efforts.

Advise management, customers, and senior technical personnel on data strategy, platform selection, and implementation approaches.

Qualifications Ability to obtain and maintain a U.S. Department of Energy Q-level security clearance, which requires U.S. citizenship.

Bachelor’s degree in Computer Science, Engineering, Mathematics, Data Science, or a related technical field, or an equivalent combination of education and relevant…