Data Product Engineer

CMT SERVICES, Inc. · Washington, District of Columbia, United States (Remote) · posted Sep 18, 2026

Open to candidates in United States

Contractmid
Can this job hire you?

We never charge to apply.

What this role actually asks for

Extracted by RemoteHunt

Must have

  • •3-5 years supporting HCM data and analytics
  • •Develop/maintain dashboards, APIs, analytical data products
  • •Translate business requirements into data solutions
  • •Experience with data migration
  • •Experience with Databricks Lakehouse
  • •Experience with HCM data models

Nice to have

  • •Experience with data governance and metadata management
  • •Experience with systems integration engineering

Tools and technologies

Databricks Lakehouse

Worth checking before you apply

  • ⚠office-required

The full posting

ABOUT US:

CMT Services Inc. is a dynamic and small business supporting Federal, State, and Local government agencies. As an SBA-certified HUBZone, Woman Owned Small Business (WOSB), we deliver quality, professional services to support the missions and strategic business goals of our clients.

Position Title: Data Product Engineer

Location:

U.S. Department of Agriculture

1400 Independence Ave., SW

Washington, DC 20250

Period of Performance:

Start Date: One 1-year base period plus 1-year option periods

Place of Performance:

Remote (Mostly Remote – needs to be able to attend meetings at USDA in DC)

Position Summary: The Data Product Engineer will support the USDA’s Enterprise Human Capital Modernization & Transformation initiative. In this role, the Data Product Engineer develops and maintains dashboards, APIs, and analytical data products. Translates business requirements into scalable, secure data solutions with full lifecycle management.

Key Responsibilities:

  • Core Deliverables: Data solutions, dashboards, requirements implementation, integration support, quality monitoring, analytics products.
  • Data Migration Planning & Coordination : Migration strategy, plans, timelines, crosswalks, mapping rules, trial migrations, reconciliation
  • Data Quality & Cleansing: Data quality assessments, dashboards, cleanup campaigns, standards compliance
  • Data Governance & Metadata Management: Metadata standards, stewardship, lineage, authoritative data sources
  • Systems Integration Engineering: APIs, integrations, interface design, ICDs, ETL/ELT pipelines, interface remediation, integration testing
  • Business & Functional Analysis: Requirements gathering, readiness assessment, risk analysis, UAT support, business process development
  • Testing & Validation: Test cases, reconciliation scripts, UAT coordination, data verification
  • Databricks Lakehouse Support: Lakehouse architecture, security design, common data model, migration framework, reporting and analytics
  • Knowledge Transfer : Training, SOPs, workshops, shadowing sessions, documentation, repository management

Required Qualifications:

  • Years of Experience: 3 to 5 years of progressive professional experience supporting HCM data and analytics solutions.
  • HCM Data Products: Experience developing and maintaining dashboards, APIs, and analytical data products supporting Human Capital data requirements.
  • Data Solutions: Experience translating business and data requirements into scalable and secure data solutions, including requirements supporting data migration, system integration, reporting, analytics, and downstream data consumption.
  • Data Migration : Experience supporting data discovery, source-to-target mappings, transformation logic, validation criteria, and data flow/pipeline requirements associated with HCM data migration.
  • Databricks Lakehouse: Experience supporting the USDA Databricks Lakehouse as a governed repository for HCM reporting and analytics and as an integration platform for secure data exchange and interoperability with related systems.
  • HCM Data Models: Experience supporting common HCM data models, including data definitions, authoritative sources, relationships, metadata, lineage, governance attributes, and alignment with reporting, integration, migration, and analytics requirements.
  • Data Product Lifecycle: Experience managing data products through their full lifecycle, including development, integration, validation, maintenance, and enhancement.

Education

  • Bachelor’s degree in computer science, Information Systems, Information Technology, Computer Engineering.

Join Our Team:

At CMT Services , we believe that extraordinary results come from empowering exceptional people. If you're ready to lead innovative projects, solve complex challenges, and contribute to meaningful infrastructure development while advancing your career in a supportive, collaborative environment, we want to hear from you.

Disclaimer:

By submitting your resume for this job posting, you authorize CMT Services, Inc. to forward your resume to all applicable internal and external managers, agencies, and recruitment personnel for review and consideration to hire.

Send this job to a friend:TelegramWhatsApp

Similar remote jobs

Get new jobs like this by email

Once a week. Remote data engineer jobs that can hire you in your country.

Hiring in: your countryChange

Weekly, only when there are at least 3 new jobs. No account needed. Unsubscribe in one click. You never pay to apply. Privacy

Is this one actually worth your time?

RemoteHunt scores every remote job 0–100 against your own resume, so you apply to the handful that fit instead of the hundred that don't. Free plan, no card required.