Data Engineer

General Dynamics Information Technology • San Diego, CA

4d • $83,927 - $113,549 • Onsite

About The Position

The Data Engineer builds and sustains the data foundation of the POTFF Enterprise Data and Analytics function. The role acquires, integrates, and prepares data from the Government-designated Human Performance System of Record and other Government-approved sources; develops scalable, reproducible data pipelines and curated, analysis-ready datasets on the Government-furnished technology stack; and enforces data quality, lineage, and governance controls. The position provides data engineering expertise to the enterprise data science team in direct support of Data Scientists, Senior Data Scientists, and the Data Science Advisor.

The role supports customer activities at various CONUS sites. It is an onsite position with 40 scheduled weekly hours and less than 10% travel required. This is a contingent posting expected to start in 2026. The salary range is $83,927–$113,549, though actual compensation may vary based on experience, location, and contractual requirements.

Requirements

• At least 3 years of professional experience in data engineering, database development, or data pipeline development; at least 5 years is required for candidates without a bachelor’s degree.
• Bachelor’s degree in a quantitative or computing discipline, with documented coursework or professional application in programming, databases, and quantitative analysis; candidates without this degree may qualify through the specified experience alternative.
• Demonstrated proficiency in SQL and Python or a comparable data engineering language through professional work experience.
• Demonstrated experience building and operating data pipelines, including ETL/ELT design, data modeling, data quality checks, reproducible pipeline design, and Git version control.
• Ability to communicate clearly with analysts and non-technical stakeholders and document technical work for continuity.
• U.S. citizenship required.
• Must currently possess Top Secret clearance; the posting also states a Secret or Top Secret clearance, or ability to obtain clearance. Top Secret/SCI is listed as a clearance that must be obtainable.

Nice To Haves

• Experience with Palantir Foundry, including ontology development, or a comparable data-integration platform.
• Experience with distributed processing frameworks such as Databricks and Apache Spark (PySpark).
• Familiarity with Power BI semantic modeling and Microsoft Power Platform tools, including Power Apps and Power Automate.
• Experience deploying analytics or machine-learning models into applications and familiarity with MLOps concepts.
• Experience working in a DoW-authorized cloud environment.
• Experience with human performance, health, clinical, or biomedical data.

Responsibilities

• Design, implement, and maintain scalable ETL/ELT pipelines for batch and scheduled processing and data transformation on the Government-furnished technology stack.
• Combine structured, semi-structured, and unstructured data from across the POTFF enterprise and Government-approved systems into curated, analysis-ready datasets.
• Implement data quality controls, validation rules, lineage documentation, and performance tuning; monitor scheduled workloads and resolve failures.
• Develop and maintain data models, data dictionaries, metadata, and transformation logic under version control, and document data sources, assumptions, and processing steps.
• Prepare and curate text and other unstructured data for NLP and LLM use cases conducted by the data science team within Government-approved tools.
• Support integration of curated data products into Government-furnished visualization and low-code tools and deployment of analytic products into operational workflows, including basic MLOps practices when directed.
• Apply Government data governance, security, and privacy requirements, including DoW Impact Level 5 (IL5), HIPAA, and Privacy Act protocols, and implement data access controls as directed.
• Collaborate with Government personnel, clinicians, program staff, and the data science team to identify data sources, improve data quality in Government systems, and translate analytical requirements into data requirements.
• Provide data engineering expertise and technical guidance to Data Scientists and Senior Data Scientists.

Benefits

• 401(k) with company match.
• Medical plan options, including plans with Health Savings Accounts.
• Dental and vision plan options.
• Paid vacation, sick and personal time, and holidays; typically 15 days of paid leave per calendar year and 10 paid holidays for new employees, prorated based on hire date.
• Paid parental leave and up to 160 hours of paid family leave in a rolling 12-month period for eligible employees.
• Military, bereavement, and jury duty leave.
• Short- and long-term disability benefits and life, accidental death and dismemberment, personal accident, critical illness, and business travel and accident insurance offerings.
• Professional growth opportunities, including paid education and certifications.
• Internal mobility support and full-flex work weeks where possible.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level