Data Ops Developer

Cmt Services, Inc.

Washington, DC, United States

6 days ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Application Programming Interfaces (APIs) Automation of Tests Cloud Engineering Profiling Information Systems Computer Engineering Continuous Integration Data Architecture Data Validation Data Conversion Information Engineering Data Integration

+19 more

Data Integrity Extract Transform Load (ETL) Data Mapping Data Transformation Data Migration Database Testing Middleware Design of User Interfaces Migration Manager Systems Integration Integration Tests Information Technology Data Lineage Performance Monitor Enterprise Integration Integration Frameworks Data Pipelines Devsecops Databricks

Job description

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., * 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

Requirements

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., * Bachelor’s degree in Computer Science, Information Systems, Information Technology, Computer Engineering.

About the company

At CMT Services, we believe that extraordinary results come from empowering exceptional people. If you’re ready to lead innovative projects, solve complex challenges, and contribute to meaningful infrastructure development while advancing your career in a supportive, collaborative environment, we want to hear from you.