Data Product Engineer

CMT SERVICES, Inc.

. Develop and maintain dashboards, APIs, and analytical data products .

Posted 9/18/2026contractWashington, D.C. • District of Columbia • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining dashboards, APIs, and analytical data products, with a strong focus on Human Capital Management data solutions. Proficient in data migration strategies, data quality assessments, and governance practices to ensure compliance and effective data stewardship.

Highest-signal resume keywords

Data Migration StrategiesHCM Data SolutionsDatabricks Lakehouse SupportAPI DevelopmentData Quality Assessment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Dashboard DevelopmentAPI EngineeringETL/ELT Pipeline EngineeringData IntegrationData Quality MonitoringData Lineage ManagementMetadata Standards ManagementData Transformation LogicRequirements GatheringTesting and Validation

Soft Skills

CollaborationCommunicationTraining and Documentation

Tools & Technologies

Databricks LakehouseData Governance ToolsAnalytical Data Products

Industry Keywords

Human Capital ManagementData StewardshipData ComplianceData AnalyticsData Migration

Tech Stack

Tools & technologies

ETL

About the role

Key responsibilities & impact

Develop and maintain dashboards, APIs, and analytical data products
Translate business requirements into scalable, secure data solutions with full lifecycle management
Develop data solutions, dashboards, requirements implementations, integration support, quality monitoring, and analytics products
Plan and coordinate data migrations, including migration strategies, timelines, crosswalks, mapping rules, trial migrations, and reconciliation
Conduct data quality assessments, maintain quality dashboards, run cleanup campaigns, and ensure standards compliance
Manage metadata standards, data stewardship, data lineage, authoritative data sources, and governance
Engineer APIs, integrations, interface designs, ICDs, ETL/ELT pipelines, interface remediation, and integration testing
Gather requirements, conduct readiness and risk analyses, support UAT, and develop business processes
Create test cases and reconciliation scripts, coordinate UAT, and verify data
Support Databricks Lakehouse architecture, security design, common data models, migration frameworks, reporting, and analytics
Provide training, SOPs, workshops, shadowing sessions, documentation, and repository management

Requirements

What you’ll need

3 to 5 years of progressive professional experience supporting HCM data and analytics solutions
Experience developing and maintaining dashboards, APIs, and analytical data products supporting Human Capital data requirements
Experience translating business and data requirements into scalable and secure data solutions
Experience supporting data migration, system integration, reporting, analytics, and downstream data consumption
Experience with data discovery, source-to-target mappings, transformation logic, validation criteria, and data flow/pipeline requirements for HCM data migration
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
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
Experience managing data products through development, integration, validation, maintenance, and enhancement
Bachelor’s degree in computer science, Information Systems, Information Technology, or Computer Engineering

Benefits

Comp & perks

One 1-year base period plus 1-year option periods
Mostly remote work arrangement
Supportive, collaborative environment
Career advancement opportunities
Training, SOPs, workshops, shadowing sessions, and documentation through knowledge transfer activities