Data Engineer

General Dynamics Information Technology • Fort Bragg, NC

2d • Onsite

About The Position

The Data Engineer builds and sustains the data foundation of the POTFF Enterprise Data and Analytics function in support of customer activities. The role acquires, integrates, and prepares data from the Government-designated Human Performance System of Record, such as HPDMS, and other Government-approved sources. It designs, implements, and maintains scalable, reproducible data pipelines and curated, analysis-ready datasets on the Government-furnished technology stack, while enforcing data quality, lineage, and governance controls for defensible downstream analysis. The engineer provides expertise to the enterprise data science team and works in direct support of Data Scientists, Senior Data Scientists, and the Data Science Advisor.

The position uses Government-furnished technologies and complies with Government data governance, security, and privacy requirements, including DoW Impact Level 5, HIPAA, and Privacy Act protocols. It is a contingent posting expected to start in 2026, with onsite work locations listed in Florida, California, North Carolina, and Washington. Scheduled hours are 40 per week, and travel is less than 10%.

Requirements

• U.S. citizenship is required.
• Must currently possess a Top Secret clearance; the posting also states a Secret or Top-Secret clearance, or the ability to obtain clearance.
• Bachelor’s degree in a quantitative or computing discipline, with documented coursework or professional application in programming, databases, and quantitative analysis; candidates without a bachelor’s degree may qualify with the stated alternative experience.
• At least three years of professional experience in data engineering, database development, or data pipeline development; candidates without a bachelor’s degree need at least five years of such experience.
• 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.

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, 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 on the Government-furnished technology stack for batch and scheduled processing and data transformation.
• Fuse structured, semi-structured, and unstructured data from across the POTFF enterprise—including the Government-designated Human Performance System of Record, assessment and wearable data, and other Government-approved systems—into curated, analysis-ready datasets.
• Implement data quality controls, validation rules, lineage documentation, and performance tuning; monitor scheduled and orchestrated 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 carried out 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 by the Government.
• Apply Government data governance, security, and privacy requirements, including DoW IL5, HIPAA, and Privacy Act protocols, and implement data access controls as directed by the Government.
• 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 needs into data requirements.
• Provide data engineering expertise and technical guidance to Data Scientists and Senior Data Scientists.

Benefits

• 401(k) with company match.
• Comprehensive health and wellness packages, including medical plan options, some with Health Savings Accounts, dental plans, and vision coverage.
• Professional growth opportunities, including paid education and certifications.
• Paid vacation and holidays; the posting also describes vacation, sick and personal time, paid parental, military, bereavement and jury duty leave.
• Paid Family Leave of up to 160 hours in a rolling 12-month period for eligible employees.
• Short- and long-term disability benefits, life insurance, accidental death and dismemberment, personal accident, critical illness, and business travel and accident insurance are provided or available.

What This Job Offers

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