Data Engineer

We have an opening for a Data Engineer to architect and modernize the data lifecycle for Strategic Deterrence (SD). In this role, you will move beyond legacy tooling to build robust, automated data pipelines that capture, characterize, and democratize critical test data. By championing DataOps principles and modern software practices, you will enable seamless data sharing and real-time decision-making within LLNL and across the NNSA complex. This position is in the Applications, Simulations, and Quality (ASQ) Division within the Computing Directorate, supporting the SD Applications Data Lifecycle Management (DLM) Team.

This position will be filled at the SES.1 or SES.2 level based on knowledge and related experience as assessed by the hiring team. Additional job responsibilities (outlined below) will be assigned if hired at the higher level.

In this role you will

• Design and implement data pipelines using both scripting and modern orchestration tools to process unstructured test data from diverse sources.
• Champion DataOps and Software Engineering best practices by implementing version control (Git), CI/CD workflows, containerization, and automated testing to ensure software and pipeline reliability and reproducibility.
• Develop interactive dashboards to democratize data access for scientists and engineers, working with subject matter experts (SMEs) to define programmatic data needs.
• Translate scientific requirements into technical specifications for APIs, pipelines, and visualization tools, acting as a bridge between SMEs and the software team.
• Collaborate with customers to define schemas/ontologies for their data, utilizing tools for data quality validation to ensure standardized characterization of experiments.
• Perform other duties as assigned.

Additional job responsibilities at the SES.2 Level

• Exercise independent discretion and judgement to define, develop, and implement original solutions to complex data management across a broad set of disciplines at the team, directorate, and institutional level. 
• Provide formal/informal technical leadership and/or domain expertise in researching, advising and recommending technical solutions and approaches.