Data Engineer

General Dynamics Information Technology • Fort Bragg, NC

21h • 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 (such as HPDMS) and other Government-approved sources; designs, implements, and maintains scalable, reproducible data pipelines and curated, analysis-ready datasets on the Government-furnished technology stack; and applies data quality, lineage, and governance controls to support defensible downstream analysis. The Data Engineer provides engineering expertise to the enterprise data science team and works directly with Data Scientists, Senior Data Scientists, and the Data Science Advisor.

The position supports customer activities at various CONUS sites. It is an onsite role, with the primary listed work location at Hurlburt Field, Florida, and additional locations in San Diego, California; Fort Bragg, North Carolina; and Joint Base Lewis-McChord, Washington. The posting is contingent and expected to start in 2026. The schedule is 40 hours per week, with less than 10% travel required. The stated likely salary range is $83,927–$113,549, with actual compensation dependent on experience, location, and potentially contractual requirements.

GDIT describes itself as a global technology and professional services company with 26,000 experts operating across more than 50 countries. The company offers medical, dental, vision, retirement, paid leave, and other benefits. The hiring process includes identity verification using biometrics and artificial intelligence; candidates are expected to be on camera during virtual interviews.

Requirements

• At least three years of professional experience in data engineering, database development, or data pipeline development; candidates without a bachelor’s degree must have at least five years of such experience.
• Bachelor’s degree in a quantitative or computing discipline, with documented coursework or professional application in programming, databases, and quantitative analysis, or the qualifying experience alternative stated in the posting.
• 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 Secret clearance; the posting also states that Secret or Top Secret clearance, or the ability to obtain clearance, is acceptable.

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 on the Government-furnished technology stack for batch and scheduled processing and data transformation.
• Integrate structured, semi-structured, and unstructured data from across the POTFF enterprise, including human performance, assessment, wearable, and other Government-approved sources, 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 executed 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 where directed by the Government.
• 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 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 requirements 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 plans.
• Internal mobility support dedicated to helping employees own their careers.
• Professional growth opportunities, including paid education and certifications.
• Paid vacation and holidays; the posting says new employees typically receive 15 days of paid leave per calendar year and 10 paid holidays, prorated based on hire date.
• Full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, 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