CMT SERVICES, Inc.

Full-stack Engineer

• 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

Data Product Engineer

Backend Engineer

• Design, develop, and deploy RESTful and event-driven APIs
• Implement secure authentication, reliability, and versioning
• Support enterprise integration standards
• Deliver interface development, APIs, integration services, authentication, and system connectivity
• Engineer systems integrations, including APIs, integrations, interface design, ICDs, ETL/ELT pipelines, interface remediation, and integration testing
• Support Databricks Lakehouse architecture, security design, common data model, migration framework, reporting, and analytics
• Provide knowledge transfer through training, SOPs, workshops, shadowing sessions, documentation, and repository management
• Support the USDA’s Enterprise Human Capital Modernization & Transformation initiative

API Developer

Manager

• Lead change strategy, stakeholder engagement, and user adoption for USDA's Enterprise Human Capital Modernization & Transformation initiative
• Develop training materials and readiness assessments supporting transitions to new systems and processes
• Gather requirements and conduct readiness assessments and risk analysis
• Support user acceptance testing (UAT)
• Develop business processes
• Create communication plans and organizational change strategies
• Conduct stakeholder engagement and training
• Monitor readiness and adoption metrics
• Develop training materials, standard operating procedures (SOPs), workshops, shadowing sessions, and documentation
• Manage knowledge repositories
• Conduct outreach to agency data SMEs regarding data cleanup and validation expectations
• Advise leadership on organizational change risks, issues, and opportunities

Change Manager

Business Intelligence Developer

• 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

Business Intelligence Engineer

Software Engineer

• Build and maintain automated data pipelines and ETL/ELT workflows
• Support HCM data migration, integration, and the USDA Databricks Lakehouse
• Plan and coordinate migration strategies, plans, timelines, crosswalks, mapping rules, trial migrations, and reconciliation
• Conduct data quality assessments, create dashboards, run cleanup campaigns, and ensure standards compliance
• Engineer APIs, integrations, interface designs, ICDs, ETL/ELT pipelines, interface remediation, and integration testing
• Develop test cases and reconciliation scripts, coordinate UAT, and perform data verification
• Support Lakehouse architecture, security design, common data models, migration frameworks, reporting, and analytics
• Automate CI/CD processes, monitor performance, ensure data reliability, and support DevSecOps practices

Data Product Engineer

API Developer

Change Manager

Business Intelligence Engineer

Data Ops Developer