Data Engineer Manager - Onsite, Washington, DC
Washington, DCFull-time$105–143K/yrSeen todaySeen in employer's feed today
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Job overview
BluePath Labs seeks an experienced Data Engineer Manager to serve as a working Data Lead for a federal client. The role combines hands-on data engineering with technical delivery leadership, overseeing engineering and business intelligence delivery while building and maintaining data pipelines, datasets, interfaces, and models. The position is contingent upon contract award. A relevant bachelor's degree or permitted equivalent is preferred.
Skills & qualifications
Skills
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Full job description
Washington, DC, USA | 105,000-142,500 per year Fair market value | Full Time
| BluePath Labs offers a comprehensive benefits package
Data Engineer Manager
Location: Onsite - Washington, DC
Clearance: No active clearance required; TS/SCI preferred. Must be able to obtain and maintain a U.S. Government security clearance.
Salary: $105,000 - $142,500
BluePath Labs is a fast-growing research and consulting company committed to solving complex problems for federal, state, and local government clients. We offer a range of professional, scientific, and technology services. Our specific areas of expertise include business consulting, research and data science, and technology integration.
We are seeking an experienced Data Engineer Manager to serve as a working Data Lead supporting a federal client. This individual will oversee data engineering and business intelligence (BI) delivery while building and maintaining pipelines that extract, normalize, validate, and integrate data. The Data Lead will support reliable datasets, interfaces, data models, lineage, and quality checks for dashboards, financial tools, and historical cost and price information.
The successful candidate will oversee engineering and BI delivery, review technical work, and coordinate metrics and data quality. Responsibilities include resolving data-access and integration needs; converting recurring requirements into reusable components; and helping move successful portfolio solutions into shared capabilities. This is a working lead role combining hands-on data engineering with technical delivery leadership.
Note: This position is contingent upon contract award. We are currently seeking qualified candidates to include in our proposal for an upcoming government contract. Applicants selected may be contacted for further steps if the contract is awarded.
Responsibilities:
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Serve as a working Data Lead, combining hands-on data engineering with technical delivery leadership.
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Oversee data engineering and business intelligence delivery and review technical work.
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Build and maintain pipelines that extract, normalize, validate, and integrate data.
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Develop and maintain reliable datasets, interfaces, and data models for dashboards, financial tools, and historical cost and price information.
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Maintain data lineage, reconciliation, data-quality controls, and supporting documentation.
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Coordinate metrics and data quality, troubleshoot data flows, and validate analytical inputs.
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Resolve data-access and integration needs in support of engineering and analytics delivery.
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Convert recurring requirements into reusable components and help move successful portfolio solutions into shared capabilities.
Minimum Requirements:
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U. S. citizen
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8 or more years of relevant experience, including at least 3 years leading technical delivery across data engineering, integration, or analytics
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Experience with SQL, scripting, ETL or ELT, data modeling, pipeline development, reconciliation, lineage, data-quality controls, and documentation
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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
Preferred Qualifications:
- Relevant bachelor's degree or permitted equivalent
Benefits:
BluePath Labs offers a comprehensive benefits package. Benefits include, but are not limited to: employer-sponsored healthcare plan, lifestyle & wellness reimbursement, Flexible Spending Account (FSA), tuition assistance, 401(k) with company match, and paid time off for vacation / sick leave, in addition to 12 holidays per calendar year.
About BluePath
BluePath Labs combines mission and business insights with advanced technologies to deliver measurable performance improvements for our clients. BluePath is dedicated to surpassing client expectations by always living by our core values of integrity, professionalism, and resilience. BluePath's extensive experience in Government, Military, Commercial, and Academic environments is unique among small businesses and a core differentiator of our solutions. Our multidisciplinary background allows us to solve diverse and complex problems. Most importantly, we work closely with our clients to frame problems correctly, optimize processes, leverage technologies, and implement enduring solutions. Labs are where ideas are born, experiments occur, and breakthroughs happen. It is the hallmark of BluePath's culture.
BluePath Labs is an equal opportunity employer.
How this job compares
Set against the 2,751 open Data Engineering jobs on Olive Jobs, counted October 31, 2026.
- Pay
- This posting$105–143K/yr
- Washington, D.C. median$105–208K/yr31 salary ranges
- US median$124–210K/yr2,234 salary ranges
This range's midpoint, $124K, is 25% below the Washington, D.C. median midpoint ($166K) — in the lowest quarter of Data Engineering salary ranges in Washington, D.C..
- Openings
- Olive Jobs lists 35 open Data Engineering jobs in Washington, D.C. and 2,751 across the US. 8% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 8 years of experience; Data Engineering postings that state a minimum ask for 5 years at the median (2,395 postings).
- Education
- 1,067 of the 2,751 open Data Engineering jobs (39%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 31, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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