Data Engineer Manager - Onsite, Washington, DC
About The Position
BluePath Labs is seeking an experienced Data Engineer Manager to serve as a working Data Lead supporting a federal client. The role combines hands-on data engineering with technical delivery leadership, overseeing data engineering and business intelligence (BI) delivery while building and maintaining pipelines to extract, normalize, validate, and integrate data. The Data Lead supports reliable datasets, interfaces, and data models for dashboards, financial tools, and historical cost and price information, along with data lineage and quality checks. The successful candidate will review technical work, coordinate metrics and data quality, resolve data-access and integration needs, and convert recurring requirements into reusable components. The role also helps move successful portfolio solutions into shared capabilities. The position is onsite in Washington, DC, and is contingent upon contract award. No active clearance is required, but TS/SCI is preferred; the candidate must be able to obtain and maintain a U.S. Government security clearance.
Requirements
- U.S. citizen.
- At least 8 years of relevant experience, including at least 3 years leading technical delivery across data engineering, integration, or analytics.
- Experience with SQL, scripting, ETL or ELT, data modeling, pipeline development, reconciliation, lineage, data-quality controls, and documentation.
- Ability to serve as a working Data Lead responsible for engineering and BI delivery, technical review, metrics, data quality, and shared capabilities; troubleshoot data flows; and validate analytical inputs.
- Must be able to obtain and maintain a U.S. Government security clearance.
Nice To Haves
- TS/SCI clearance preferred.
- Relevant bachelor's degree or permitted equivalent.
Responsibilities
- Serve as a working Data Lead, combining hands-on data engineering with technical delivery leadership.
- Oversee data engineering and business intelligence delivery and review technical work.
- Build and maintain pipelines that extract, normalize, validate, and integrate data.
- Develop and maintain reliable datasets, interfaces, and data models for dashboards, financial tools, and historical cost and price information.
- Maintain data lineage, reconciliation, data-quality controls, and supporting documentation.
- Coordinate metrics and data quality, troubleshoot data flows, and validate analytical inputs.
- Resolve data-access and integration needs in support of engineering and analytics delivery.
- Convert recurring requirements into reusable components and help move successful portfolio solutions into shared capabilities.
Benefits
- Employer-sponsored healthcare plan.
- Lifestyle and wellness reimbursement.
- Flexible Spending Account (FSA).
- Tuition assistance.
- 401(k) with company match.
- Paid time off for vacation and sick leave.
- 12 holidays per calendar year.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
