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Data Engineer
General Dynamics Information TechnologyCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining scalable ETL/ELT pipelines using SQL Server, Databricks, and Apache Spark, while ensuring data quality and governance in compliance with HIPAA and Privacy Act requirements. Proficient in collaborating with cross-functional teams to translate analytical needs into data requirements and providing technical guidance to data scientists.
Highest-signal resume keywords
ETL/ELT Pipeline DevelopmentSQL ProficiencyPython ProgrammingData Quality Control ImplementationSecret Clearance
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Build and sustain the data foundation of the POTFF Enterprise Data and Analytics function
- Acquire, integrate, and prepare data from the Government-designated Human Performance System of Record and other Government-approved sources
- Design, implement, and maintain scalable ETL/ELT pipelines using SQL Server, Databricks, Apache Spark, and PySpark
- Fuse structured, semi-structured, and unstructured data 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
- Prepare text and other unstructured data for NLP and LLM use cases
- Integrate curated data products into Government-furnished visualization and low-code tools
- Support deployment of analytic products into operational workflows, including basic MLOps practices
- Apply DoW Impact Level 5, HIPAA, Privacy Act, data governance, security, and privacy requirements
- Implement data access controls
- Collaborate with Government personnel, clinicians, program staff, and data scientists to identify data sources and translate analytical requirements into data requirements
- Provide technical guidance to Data Scientists and Senior Data Scientists
Requirements
What you’ll need- Secret clearance must currently be possessed
- Top Secret/SCI clearance must be obtainable
- U.S. citizenship required
- Bachelor’s degree in a quantitative or computing discipline, including computer science, computer engineering, software engineering, information systems, data science, data engineering, mathematics, statistics, geospatial science, or geoinformatics, with documented coursework or professional application in programming, databases, and quantitative analysis; candidates without the degree qualify with the stated alternative experience
- Minimum three years of professional experience in data engineering, database development, or data pipeline development; without a bachelor’s degree, minimum five years
- 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
- Preferred: Experience with Palantir Foundry or comparable data-integration platforms
- Preferred: Experience with Databricks and Apache Spark (PySpark)
- Preferred: Familiarity with Power BI semantic modeling and Microsoft Power Platform (Power Apps and Power Automate)
- Preferred: Experience deploying analytics or machine-learning models into applications and with MLOps concepts
- Preferred: Experience working in a DoW-authorized cloud environment
- Preferred: Experience with human performance, health, clinical, or biomedical data
- Ability to work at various CONUS sites
- Travel required less than 10%
Benefits
Comp & perks- 401K with company match
- Comprehensive health and wellness packages
- Internal mobility team dedicated to helping you own your career
- Professional growth opportunities including paid education and certifications
- Cutting-edge technology you can learn from
- Paid vacation and holidays
- Medical plan options, including plans with Health Savings Accounts
- Dental plan options
- Vision plan options
- Paid sick and personal time
- Paid parental, military, bereavement, and jury duty leave
- Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees
- Short- and long-term disability benefits
- Life insurance
- Accidental death and dismemberment insurance
- Personal accident insurance
- Critical illness insurance
- Business travel and accident insurance
- Full flex work weeks where possible
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringDatabase DevelopmentData Pipeline DevelopmentData ModelingData Quality ChecksVersion Control with GitNLP PreparationMLOps PracticesData IntegrationQuantitative Analysis
Soft Skills
Clear CommunicationTechnical Documentation
Tools & Technologies
SQL ServerDatabricksApache SparkPySparkPower BIMicrosoft Power Platform
Certifications & Qualifications
Secret ClearanceTop Secret/SCI Clearance
Industry Keywords
Human Performance SystemData GovernanceHIPAA CompliancePrivacy ActBiomedical Data