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# Mid-Level Data Migration Engineer - 176442

- **Company:** Zachary Piper
- **Location:** Quantico, VA, United States
- **Experience:** Experienced
- **Salary:** $120,000.0 - $140,000.0
- **Contract:** Permanent contract
- **Skills:** Big Data, Information Systems, Data Validation, Information Engineering, Data Integrity, Extract Transform Load (ETL), Data Mapping, Data Transformation, Data Migration, Data Mining, DataOps, Unstructured Data, Scripting, Delivery Pipeline, Information Technology, Devsecops, Legacy Systems
- **Published:** October 15, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9238439/mid-level-data-migration-engineer-176442

## About the Role

* 4+ years of experience supporting data migration, ETL processes, data engineering, or related data operations.
 * Experience with ETL tools, scripting languages, data transformation processes, and pipeline automation.
 * Strong analytical, troubleshooting, and data validation skills with experience handling structured and unstructured datasets.
 * Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field.
 * Active Top Secret Security Clearance and U.S. Citizenship required.

## Description

Zachary Piper Solutions is seeking a Mid-Level Data Migration Engineer to support a company focused on large-scale federal modernization and cloud transformation initiatives. This position is on-site at Huntsville, AL . The Mid-Level Data Migration Engineer will support the extraction, transformation, validation, and migration of mission-critical data from legacy systems into modern cloud environments. This role plays a key part in ensuring data integrity, operational readiness, and successful modernization outcomes for federal customers. Join a team driving complex data migration efforts that directly support critical government missions and next-generation technology adoption., * Support the development, execution, and maintenance of ETL workflows for large-scale data migration initiatives.

 * Perform data extraction, transformation, cleansing, normalization, and validation activities across structured and unstructured datasets.
 * Conduct data mapping between legacy systems and target environments while validating schema integrity and migration accuracy.
 * Collaborate with Data Engineers, DevSecOps teams, QA personnel, and cloud architects to support migration readiness and testing efforts.
 * Maintain migration documentation, generate status reports, and identify risks or dependencies that impact migration success.