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About the Role
GDIT is seeking a Data Engineer to build and sustain the data foundation for the POTFF Enterprise Data and Analytics function. This role involves acquiring, integrating, and preparing data, designing and maintaining data pipelines, and enforcing data quality and governance controls to support downstream analysis.
Responsibilities
- Design, implement, and maintain scalable extract-transform-load and extract-load-transform (ETL/ELT) pipelines on the Government-furnished technology stack for batch and scheduled processing and data transformation.
- Fuse disparate structured, semi-structured, and unstructured data sources into curated, analysis-ready datasets.
- Implement rigorous 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.
- Document data sources, assumptions, and processing steps.
- Prepare and curate text and other unstructured data to support Natural Language Processing (NLP) and Large Language Model (LLM) use cases.
- Support the integration of curated data products into Government-furnished visualization and low-code tools.
- Support the deployment of analytic products into operational workflows, including basic machine-learning operations (MLOps) practices.
- Apply Government data governance, security, and privacy requirements, including DoW Impact Level 5 (IL5), HIPAA, and Privacy Act protocols.
- Implement data access controls as directed by the Government.
- Collaborate with Government personnel, clinicians, program staff, and the data science team to identify new data sources and improve data quality.
- Translate analytical requirements into data requirements.
- Provide data engineering expertise and technical guidance to Data Scientists and Senior Data Scientists.
Requirements
- Bachelor’s degree in a quantitative or computing discipline with documented coursework or professional application in programming, databases, and quantitative analysis, or equivalent experience.
- Minimum of three (3) years of professional experience in data engineering, database development, or data pipeline development (five years without a bachelor's degree).
- Demonstrated proficiency in SQL and in Python or a comparable language used for data engineering.
- Demonstrated experience building and operating data pipelines, including ETL/ELT design, data modeling, data quality checks, reproducible pipeline design, and version control (Git).
- Ability to communicate clearly with analysts and non-technical stakeholders.
- Ability to document technical work for continuity.
- US Citizenship Required: Yes
- Top Secret clearance required.
- Ability to obtain Top Secret/SCI clearance.
Skills
- Analytics
- Data Access
- Data Analysis
- Data Transformation
- Enterprise Data
- SQL
- Python
- ETL/ELT
- Data Modeling
- Data Quality Checks
- Reproducible Pipeline Design
- Version Control (Git)
- Palantir Foundry (preferred)
- Databricks (preferred)
- Apache Spark (PySpark) (preferred)
- Power BI semantic modeling (preferred)
- Microsoft Power Platform (Power Apps and Power Automate) (preferred)
- Machine Learning Operations (MLOps) concepts (preferred)
- DoW-authorized cloud environment experience (preferred)
- Human performance, health, clinical, or biomedical data experience (preferred)
Location
- Various CONUS SITES
- USA FL Hurlburt Field
- USA CA San Diego
- USA NC Fort Bragg
- USA WA Joint Base Lewis-McChord
Work Type
- Onsite
- Full-time
Experience Level
- 3+ years of related experience
Education Level
- Bachelor’s degree in a quantitative or computing discipline
Salary/Compensations
- $83,927 - $113,549
Benefits
- 401K with company match
- Comprehensive health and wellness packages
- Internal mobility team
- Professional growth opportunities including paid education and certifications
- Cutting-edge technology
- Paid vacation and holidays
- Variety of medical plan options
- Dental plan options
- Vision plan
- Paid parental, military, bereavement and jury duty leave
- 15 days of paid leave per calendar year
- 10 paid holidays per year
- Paid Family Leave program
- Short and long-term disability benefits
- Life insurance
- Accidental death and dismemberment insurance
- Personal accident insurance
- Critical illness insurance
- Business travel and accident insurance
About the Company
- We are GDIT. The people supporting and securing some of the most complex government, defense, and intelligence projects across the country.
- We ensure today is safe and tomorrow is smarter.
- Our work has meaning and impact on the world around us, but also on us, and that’s important.
- GDIT is your place. You make it your own by embracing autonomy, seizing opportunity, and being rusted to deliver your best every day.
- We think. We act. We deliver. There is no challenge we can’t turn into opportunity.
- A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community.
- Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation.
- We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.
Equal Opportunity
- Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans