Data Engineer (Multiple Openings) - Onsite, Washington, DC

BluePath Labs•Washington, DC

7d•Onsite

About The Position

BluePath Labs is seeking candidates for multiple mid-level Data Engineer positions supporting a federal client in Washington, DC. The role is onsite and contingent upon contract award; BluePath is identifying qualified candidates for an upcoming government contract, and selected applicants may be contacted for further steps if the contract is awarded. Data Engineers will build and maintain pipelines to extract, normalize, validate, and integrate data. They will develop reliable datasets, interfaces, data models, lineage, and quality checks for dashboards, financial tools, and historical cost and price information. Successful candidates will independently build, validate, troubleshoot, and document pipelines, integrations, and curated datasets. Candidates must be U.S. citizens and be able to obtain and maintain a U.S. Government security clearance. No active clearance is required; TS/SCI is preferred. BluePath Labs is a research and consulting company serving federal, state, and local government clients. Its areas of expertise include business consulting, research and data science, and technology integration. The company describes its core values as integrity, professionalism, and resilience.

Requirements

U.S. citizenship.
At least 4 years of relevant data engineering experience.
Experience with SQL, scripting, ETL or ELT, data modeling, pipeline development, reconciliation, lineage, data-quality controls, and documentation.
Ability to independently build, validate, troubleshoot, and document pipelines, integrations, and curated datasets; troubleshoot data flows; and validate analytical inputs.
Ability to obtain and maintain a U.S. Government security clearance.

Nice To Haves

Active TS/SCI clearance is preferred, although no active clearance is required.
Relevant bachelor's degree or permitted equivalent.

Responsibilities

Build and maintain pipelines that extract, normalize, validate, and integrate data for a federal client.
Develop ETL or ELT processes to support reliable data flows and integrations.
Develop and maintain curated datasets, interfaces, and data models for dashboards, financial tools, and historical cost and price information.
Reconcile data and maintain lineage and data-quality controls.
Independently validate and troubleshoot pipelines, integrations, curated datasets, and data flows.
Resolve data-access and integration needs.
Validate analytical inputs and implement quality checks to support reliable datasets.
Document pipelines, integrations, curated datasets, and data-quality controls.
Convert recurring requirements into reusable components.