Position Title: Data Ops Developer 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 Ops Developer will support the USDA's Enterprise Human Capital Modernization & Transformation initiative. In this role, the Data Ops Developer builds and maintains automated data pipelines, ETL/ELT workflows, and CI/CD automation. Ensures data reliability, monitors performance, and supports DevSecOps practices. Key Responsibilities: • Core Deliverables: Data pipelines, ETL/ELT, migration execution, testing, automation, Lakehouse implementation. • 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 • Systems Integration Engineering: APIs, integrations, interface design, ICDs, ETL/ELT pipelines, interface remediation, integration testing • 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: 3 to 5 years of progressive professional experience in data engineering, ETL/ELT development, data integration, data migration, or a related field. • Data Pipeline and ETL/ELT Engineering: Experience building and maintaining automated data pipelines and ETL/ELT workflows supporting HCM data migration, integration, and the USDA Databricks Lakehouse. • Data Transformation and Validation: Experience implementing data transformation, validation, reconciliation, load sequencing, data quality controls, and exception handling supporting initial and iterative HCM data conversion. The PWS requires profiling, source-to-target mapping, transformation, validation, reconciliation, loading, and migration-readiness controls. • Enterprise Integration and Pipeline Support: Experience supporting ETL/ELT pipelines, middleware, integration platforms, and cloud-native integration services, including troubleshooting data transformation and performance issues across environments. • Automated Data Testing and Reconciliation: Experience developing or supporting automated testing and reconciliation processes used to verify data lineage, accuracy, and completeness during mock migrations and UAT. • CI/CD Automation, Data Reliability and DevSecOps: Experience supporting CI/CD automation, data reliability, performance monitoring, and DevSecOps practices for enterprise data solutions. Education • Bachelor's degree in Computer Science, Information Systems, Information Technology, Computer Engineering. 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.