Business Intelligence Engineer

CMT SERVICES, Inc.

. Design, build, and maintain enterprise-level dashboards, robust data models, and reporting layers .

Posted 9/17/2026contractWashington • District of Columbia • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining enterprise-level dashboards and data models, ensuring data quality and governance in alignment with Human Capital stakeholder requirements. Proficient in utilizing Databricks Lakehouse architecture for reporting and analytics within the USDA framework.

Highest-signal resume keywords

Business IntelligenceData EngineeringData ModelingDatabricks LakehouseData Quality Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Dashboard DevelopmentData Model CreationReporting Layer MaintenanceData Quality AssessmentData VerificationMetadata ManagementData GovernanceAnalyticsUAT CoordinationReconciliation Scripts

Tools & Technologies

DatabricksBusiness Intelligence Tools

Industry Keywords

Human Capital ManagementData StewardshipData LineageCompliance StandardsUSDA Governance

About the role

Key responsibilities & impact

Design, build, and maintain enterprise-level dashboards, robust data models, and reporting layers
Serve as the technical bridge between Human Capital stakeholders and the data environment
Translate complex operational needs into scalable, high-performing BI products
Deliver dashboards, reporting, data quality metrics, analytics, and governance reporting
Conduct data quality assessments, build data quality dashboards, support cleanup campaigns, and ensure standards compliance
Manage metadata standards, stewardship, lineage, and authoritative data sources
Create test cases and reconciliation scripts, coordinate UAT, and perform data verification
Support Databricks Lakehouse architecture, security design, common data model, migration framework, reporting, and analytics
Support the USDA’s Enterprise Human Capital Modernization & Transformation initiative

Requirements

What you’ll need

5+ years of progressive professional experience in business intelligence, data engineering, data modeling, or analytics roles
Experience developing and maintaining dashboards, data models, reporting layers, and scalable BI products supporting stakeholder reporting and analytical requirements
Experience building data quality dashboards supporting legacy HCM data cleanup monitoring and agency-driven cleanup campaigns
Experience translating Human Capital stakeholder requirements into reporting and analytical data products while maintaining data quality and governance
Experience supporting governed HCM data for reporting and analytics within the USDA Databricks Lakehouse
Experience working with data models, authoritative sources, metadata, lineage, governance attributes, and data-quality requirements supporting reporting and analytics
Experience aligning BI products with Human Capital Data governance and metadata-management requirements, including USDA and OPM governance expectations
Bachelor’s degree in Computer Science, Information Systems, Information Technology, or Computer Engineering

Benefits

Comp & perks

Supportive, collaborative environment
Career advancement opportunities
Opportunity to lead innovative projects and solve complex challenges
Contract engagement with one 1-year base period plus 1-year option periods