Data Product Engineer
CMT Services Inc Washington, District of Columbia, United States
Business Consulting and Services · 51-200 employees
About the role
The Data Product Engineer will develop and maintain dashboards, APIs, and analytical data products to support the USDA’s Enterprise Human Capital Modernization initiative. Responsibilities include managing the full lifecycle of data solutions, including data migration, quality assurance, systems integration, and governance.
What they look for
Requirements
Candidates must have 3 to 5 years of professional experience in HCM data and analytics solutions, including proficiency with Databricks Lakehouse architecture. A bachelor's degree in Computer Science, Information Systems, Information Technology, or Computer Engineering is required.
Full description
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.
