Data Engineer
General Dynamics Information Technology22 days ago
San Diego, CA, USAMid Level
Base Salary
$84k - $114k/yr
Responsibilities
- Design, implement, and maintain scalable ETL/ELT pipelines for batch and scheduled processing.
- Integrate structured, semi-structured, and unstructured data into curated, analysis-ready datasets.
- Implement data quality controls, validation rules, lineage documentation, performance tuning, workload monitoring, and failure resolution.
- Develop and maintain data models, data dictionaries, metadata, transformation logic, and technical documentation under version control.
- Prepare text and other unstructured data for NLP and LLM use cases.
- Support integration with visualization and low-code tools and deployment of analytic products into operational workflows.
- Apply data governance, security, privacy, access-control, HIPAA, Privacy Act, and DoW Impact Level 5 requirements.
- Collaborate with government personnel, clinicians, program staff, analysts, and data scientists to identify sources and translate analytical needs into data requirements.
- Provide technical guidance to Data Scientists and Senior Data Scientists.
Requirements
- Bachelor’s degree in a quantitative or computing discipline with coursework or professional application in programming, databases, and quantitative analysis, or qualifying equivalent experience.
- At least three years of professional experience in data engineering, database development, or data pipeline development; candidates without the degree require at least five years.
- Demonstrated proficiency in SQL and Python or a comparable data-engineering language.
- 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.
- Secret or Top Secret clearance, or the ability to obtain clearance.
- Preferred experience with Palantir Foundry, Databricks, Apache Spark/PySpark, Power BI semantic modeling, Microsoft Power Platform, analytics or machine-learning deployment, MLOps, DoW-authorized cloud environments, and human performance, health, clinical, or biomedical data.
- US citizenship is required.
Benefits
- 401(k) with company match and medical, dental, vision, health savings account, disability, life, accident, critical illness, and insurance options.
- Paid vacation, sick, personal, parental, military, bereavement, jury duty, and holiday leave, including typically 15 paid leave days and 10 paid holidays annually for new employees.
- Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees.
- Internal mobility support, professional growth opportunities, paid education and certifications, and access to cutting-edge technology.
- Contingent posting expected to start in 2026.
- Full flex work weeks where possible; the listed work arrangement is onsite, with locations in Florida, California, North Carolina, and Washington.
- 40 scheduled hours per week and less than 10% travel required.
Tech Stack
Categories
Data Engineering
About General Dynamics Information Technology
General Dynamics Information Technology (GDIT) delivers enterprise IT, systems integration, cybersecurity, cloud, and software engineering services to U.S. federal agencies, including defense and intelligence organizations. It provides contract-based professional and managed services ranging from network operations and unified communications to training and simulation. GDIT is a business unit of General Dynamics (NYSE: GD) and is headquartered in Falls Church, Virginia.