Data Engineer for Scientific Pipelines (Hybrid)

Lawrence Livermore National Laboratory; Livermore (CA); Hybrid; USD 146,000 - 223,000; Full time

Job summary

Lawrence Livermore National Laboratory seeks a Data Engineer to build and modernize data systems for discoverable, reusable data. You will partner with scientists, engineers, and data stewards to translate workflows into reliable data products and pipelines across structured and unstructured data.

The role spans metadata, quality, APIs, dashboards, and data platform integration within the Computing Directorate. Hybrid work flexibility may apply; U.S.

Qualifications

• U.S. citizenship and ability to obtain DOE Q clearance.
• Bachelor’s degree in CS, Engineering, Math, Data Science, or related field.
• Significant experience with Python and data processing.
• Experience building data pipelines for structured or unstructured data.
• Experience with data modeling, metadata, data quality, or data lineage.
• Proficient in Git, automated testing, and CI/CD.
• Experience integrating systems via REST APIs and storage.

Responsibilities

• Design, build, test, and maintain automated pipelines that ingest, transform, validate, and publish data.
• Collaborate with scientists and engineers to translate workflows into data requirements and products.
• Develop data quality, lineage, governance, and metadata practices.
• Build interfaces, dashboards, or tools to explore data for analysis workflows.
• Apply DataOps and containerization to improve reliability and reproducibility.
• Evaluate data platforms and tools, and recommend solutions based on needs and constraints.
• Communicate architectures, risks, and progress to stakeholders.
• Collaborate across teams to establish shared standards and integration approaches.
• Perform other duties as assigned.

Skills

Python

Data pipelines

Data modeling

REST APIs

Git

CI/CD

Data governance

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, or related field

Tools

Airflow

Dagster

Prefect

Tableau

Plotly

Job description

Lawrence Livermore National Laboratory seeks a Data Engineer to build and modernize data systems for discoverable, reusable data. You will partner with scientists, engineers, and data stewards to translate workflows into reliable data products and pipelines across structured and unstructured data.

The role spans metadata, quality, APIs, dashboards, and data platform integration within the Computing Directorate. Hybrid work flexibility may apply; U.S.