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

BluePath Labs (8(a) & SDVOSB); Washington (District of Columbia); Vor Ort; USD 81.000 - 109.000; Vollzeit

Benefits dieser Stelle

Health plan

Wellness reimbursement

FSA

Tuition assistance

401(k) with company match

Paid time off

Zusammenfassung

BluePath Labs is seeking a Data Engineer to build and maintain pipelines for a federal client in Washington, DC. The role focuses on ETL/ELT, data modeling, lineage, and quality checks to ensure reliable dashboards and cost analyses.

Successful candidates will independently develop, validate, troubleshoot, and document pipelines and curated datasets, translating recurring needs into reusable components while operating onsite in Washington, DC.

Qualifikationen

• 4+ years of data engineering experience
• Experience with SQL, scripting, ETL/ELT, data modeling, pipelines, reconciliation, lineage and data-quality controls
• Ability to build, validate, troubleshoot and document pipelines and data flows

Aufgaben

• Build and maintain data pipelines for a federal client.
• Develop ETL/ELT processes for reliable data flows.
• Create curated datasets, interfaces and data models for dashboards and cost data.
• Maintain data lineage and quality controls across pipelines.
• Document pipelines, integrations and data-quality controls.
• Convert recurring requirements into reusable components.

Kenntnisse

SQL

Scripting

ETL/ELT

Data modeling

Pipeline development

Data quality controls

Data lineage

Documentation

Ausbildung

Bachelor's degree or equivalent

Jobbeschreibung

Location: Onsite - Washington, DC

Salary: $80,500 - $109,250

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.

Data Engineer (Multiple Openings)

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: $80,500 - $109,250

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 candidates for multiple Mid-level Data Engineer positions supporting a federal client. These engineers will build and maintain pipelines that 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. Responsibilities include developing ETL or ELT processes; reconciling data and maintaining lineage and data-quality controls; resolving data-access and integration needs; and converting recurring requirements into reusable components.

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

• 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.

Minimum Requirements

• U. S. citizen
• 4 or more 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

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.

https://www.bluepathlabs.com/

BluePath Labs is an equal opportunity employer.

Salary: $80500 - $109250 per year