Business Intelligence Engineer
Location not identified
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree in Computer Science, Information Systems, Information Technology, or Computer Engineering.
Qualification wording
Bachelor’s degree in Computer Science, Information Systems, Information Technology, or Computer Engineering.
Tools in this posting
- Databricks
Source — Tool mentions in context
- 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. Required Qualifications:
- Stakeholder Requirements: Experience translating Human Capital stakeholder requirements into reporting and analytical data products while maintaining data quality and governance. - USDA Databricks Lakehouse Support: Experience supporting governed HCM data for reporting and analytics within the USDA Databricks Lakehouse. (Note: The Lakehouse serves as USDA's governed repository for HCM reporting and analytics). - Data Models & Lineage: Experience working with data models, authoritative sources, metadata, lineage, governance attributes, and data-quality requirements supporting reporting and analytics.
About Cmtservicesinc
is a dynamic and small business supporting Federal, State, and Local government agencies.
In the employer’s words · Read in context
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: Business Intelligence 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 Business Intelligence (BI) Engineer will support the USDA’s Enterprise Human Capital Modernization & Transformation initiative. In this role, you will design, build, and maintain enterprise-level dashboards, robust data models, and reporting layers. You will serve as the technical bridge between Human Capital stakeholders and the data environment—translating complex operational needs into scalable, high-performing BI products while upholding strict data quality, governance, and architectural standards.
Key Responsibilities:
- Core Deliverables: Dashboards, reporting, data quality metrics, analytics, governance reporting.
- Data Quality & Cleansing: Data quality assessments, dashboards, cleanup campaigns, standards compliance.
- Data Governance & Metadata Management: Metadata standards, stewardship, lineage, authoritative data sources.
- 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.
Required Qualifications:
- Years of Experience: 5+ years of progressive professional experience in business intelligence, data engineering, data modeling, or analytics roles.
- BI Product Development: Experience developing and maintaining dashboards, data models, reporting layers, and scalable BI products supporting stakeholder reporting and analytical requirements.
- Data Quality Dashboards: Experience building data quality dashboards supporting legacy HCM data cleanup monitoring and agency-driven cleanup campaigns.
- Stakeholder Requirements: Experience translating Human Capital stakeholder requirements into reporting and analytical data products while maintaining data quality and governance.
- USDA Databricks Lakehouse Support: Experience supporting governed HCM data for reporting and analytics within the USDA Databricks Lakehouse. (Note: The Lakehouse serves as USDA's governed repository for HCM reporting and analytics).
- Data Models & Lineage: Experience working with data models, authoritative sources, metadata, lineage, governance attributes, and data-quality requirements supporting reporting and analytics.
- Governance Alignment: Experience aligning BI products with Human Capital Data governance and metadata-management requirements, including USDA and OPM governance expectations.
Education
- Bachelor’s degree in Computer Science, Information Systems, Information Technology, or 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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on cmtservicesinc.bamboohr.com. The employer’s form will show what is required.
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Source & posting history
Source notes
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 Business Intelligence (BI) Engineer will support the USDA’s Enterprise Human Capital Modernization & Transformation initiative. In this role, you will design, build, and maintain enterprise-level dashboards, robust data models, and reporting layers. You will serve as the technical bridge between Human Capital stakeholders and the data environment—translating complex operational needs into scalable, high-performing BI products while upholding strict data quality, governance, and architectural standards.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Sep 17, 2026
- Recorded sightings
- 51
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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