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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, data modeling, and data quality controls while ensuring compliance with security and privacy regulations. Proficient in SQL and Python, with experience in deploying analytics and machine-learning models in a collaborative environment.
Highest-signal resume keywords
ETL/ELT Pipeline DevelopmentSQL ProficiencyPython ProgrammingData Quality Control ImplementationTop Secret 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 on the Government-furnished technology stack
- Fuse structured, semi-structured, and unstructured enterprise 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
- Support integration of curated data products into visualization and low-code tools
- Support deployment of analytic products into operational workflows, including directed MLOps practices
- Apply DoW IL5, HIPAA, Privacy Act, security, privacy, and data-access controls
- Collaborate with Government personnel, clinicians, program staff, and data scientists to identify data sources and translate analytical requirements
- Provide technical guidance to Data Scientists and Senior Data Scientists
Requirements
What you’ll need- Top Secret clearance currently required
- Top Secret/SCI clearance must be obtainable
- U.S. citizenship required
- Bachelor’s degree in a quantitative or computing discipline with documented coursework or professional application in programming, databases, and quantitative analysis, or qualifying experience in lieu of the degree
- Minimum of 3 years of professional experience in data engineering, database development, or data pipeline development
- Without a bachelor’s degree, minimum of 5 years of such experience
- 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
- Experience with Palantir Foundry or comparable data-integration platform preferred
- Experience with Databricks and Apache Spark (PySpark) preferred
- Familiarity with Power BI semantic modeling and Microsoft Power Platform preferred
- Experience deploying analytics or machine-learning models and with MLOps concepts preferred
- Experience in a DoW-authorized cloud environment preferred
- Experience with human performance, health, clinical, or biomedical data preferred
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 some with Health Savings Accounts
- Dental plan options
- Vision plan options
- Paid sick and personal leave
- 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 (Git)Natural Language Processing (NLP)Machine Learning Operations (MLOps)Data IntegrationQuantitative Analysis
Soft Skills
Clear CommunicationCollaboration
Tools & Technologies
Palantir FoundryDatabricksApache Spark (PySpark)Power BIMicrosoft Power Platform
Certifications & Qualifications
Top Secret ClearanceU.S. Citizenship
Industry Keywords
Human Performance DataHealth DataClinical DataBiomedical DataDoW IL5HIPAAPrivacy Act