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Data Ops Developer

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Employment
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Employment type in the employer’s posting: Contract
From the employer’s posting

What you’ll work on

Full 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

From the employer’s posting
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

What you’ll bring

All qualifications

Core experience

  • Bachelor’s degree in Computer Science, Information Systems, Information Technology, Computer Engineering.
Qualification wording
Bachelor’s degree in Computer Science, Information Systems, Information Technology, Computer Engineering.
Education & alternatives
Education - Bachelor’s degree in Computer Science, Information Systems, Information Technology, Computer Engineering. Join Our Team:

About CMT Services

is a dynamic and small business supporting Federal, State, and Local government agencies.

In the employer’s words · Read in context

Apply at CMT Services

Posting record

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Status in our records
Live
First seen by us
Sep 19, 202646 days ago
Recorded sightings
82
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 46

Similar jobs usually come down between day 5 and day 54.

From 10,733 similar postings that came down. Coming down is not always a hire.

CMT Services is hiring

5 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

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.

  • Databricks
Where the posting names them
- 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.

Your next step

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About the role

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.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

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:

  • 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.


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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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.
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