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Data Product Engineer
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Contract — employment source
Employment type in the employer’s posting: Contract
From the employer’s posting
What you’ll work on
Full postingDevelop and maintain dashboards, APIs, and analytical data products
Plan and coordinate HCM data migration, mapping rules, and trial migrations
Build APIs, integrations, and ETL/ELT pipelines
Run data quality assessments and cleanup campaigns
Manage metadata standards, lineage, and authoritative data sources
From the employer’s posting
develops and maintains dashboards, APIs, and analytical data products
Migration strategy, plans, timelines, crosswalks, mapping rules, trial migrations, reconciliation
APIs, integrations, interface design, ICDs, ETL/ELT pipelines, interface remediation, integration testing
Data quality assessments, dashboards, cleanup campaigns, standards compliance
Metadata standards, stewardship, lineage, authoritative data sources
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree in computer science, Information Systems, Information Technology, Computer Engineering.
Qualification wording
Bachelor’s degree in computer science, Information Systems, Information Technology, Computer Engineering.
Education & alternatives
Education - Bachelor’s degree in computer science, Information Systems, Information Technology, Computer Engineering. Join Our Team:
About CMT Services
is a dynamic and small business supporting Federal, State, and Local government agencies.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 19, 202646 days ago
- Recorded sightings
- 82
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
CMT Services is hiring
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Databricks
Where the posting names them
- 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
- 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.
Your next step
Complete your application on cmtservicesinc.bamboohr.com. The employer’s form will show what is required.
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About the role
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job 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.
Source details
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Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Location not supplied.
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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.