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Employment type in the employer’s posting: ContractFrom the employer’s posting
Build and maintain automated data pipelines and ETL/ELT workflows
Run data migration execution, trial migrations and reconciliation
Build data quality assessments, dashboards and cleanup campaigns
Design APIs, integrations and interfaces, and remediate them
Write test cases and reconciliation scripts, and coordinate UAT
builds and maintains automated data pipelines, ETL/ELT workflows, and CI/CD automation
Migration strategy, plans, timelines, crosswalks, mapping rules, trial migrations, reconciliation
Data quality assessments, dashboards, cleanup campaigns, standards compliance
APIs, integrations, interface design, ICDs, ETL/ELT pipelines, interface remediation, integration testing
Test cases, reconciliation scripts, UAT coordination, data verification
Bachelor’s degree in Computer Science, Information Systems, Information Technology, Computer Engineering.
Education - Bachelor’s degree in Computer Science, Information Systems, Information Technology, Computer Engineering. Join Our Team:
is a dynamic and small business supporting Federal, State, and Local government agencies.
In the employer’s words · Read in context
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Day 46
Similar jobs usually come down between day 5 and day 54.
From 10,736 similar postings that came down. Coming down is not always a hire.
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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.
Complete your application on cmtservicesinc.bamboohr.com. The employer’s form will show what is required.
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
ABOUT US:
CMT Services Inc. is a dynamic and small business supporting Federal, State, and Local government agencies. As an SBA-certified HUBZone, Woman Owned Small Business (WOSB), we deliver quality, professional services to support the missions and strategic business goals of our clients.
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:
Required Qualifications:
Education
Join Our Team:
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.
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.
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Location not supplied.
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.
No clear work-authorization passage found. Eligibility is unconfirmed.