Data Ops Developer

About the role

CMT Services, Inc. is recruiting a Data Ops Developer to support the USDA's Enterprise Human Capital Modernization and Transformation initiative. The role builds and maintains automated data pipelines, ETL/ELT workflows and CI/CD automation, ensures data reliability, monitors performance and supports DevSecOps practices. It is mostly remote but requires attending meetings at the USDA in Washington, DC.

Key responsibilities

• Data migration planning and coordination: strategy, plans, timelines, crosswalks, mapping rules, trial migrations and reconciliation
• Data quality and cleansing: assessments, dashboards, cleanup campaigns and standards compliance
• Systems integration: APIs, integrations, interface design, ICDs, ETL/ELT pipelines, interface remediation and integration testing
• Testing and validation: test cases, reconciliation scripts, UAT coordination and data verification
• Databricks Lakehouse support: architecture, security design, common data model, migration framework and reporting and analytics

Required profile

• 3 to 5 years of progressive experience in data engineering, ETL/ELT development, data integration, data migration or a related field
• Bachelor's degree in Computer Science, Information Systems, Information Technology or Computer Engineering

Required skills

• Building and maintaining automated data pipelines and ETL/ELT workflows for HCM data migration and the USDA Databricks Lakehouse
• Data transformation, validation, reconciliation, load sequencing, data quality controls and exception handling
• Support for ETL/ELT pipelines, middleware, integration platforms and cloud-native integration services
• Automated testing and reconciliation of data lineage, accuracy and completeness during mock migrations and UAT
• CI/CD automation, data reliability, performance monitoring and DevSecOps practices