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# Mid-Level Data Migration Engineer

- **Company:** Zachary Piper
- **Location:** Huntsville, AL, United States
- **Experience:** Experienced
- **Salary:** $125,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Automation of Tests, Bash Shell, Cloud Computing, Cloud Database, Databases, Continuous Integration, Data Auditing, Data Validation, Data Cleansing, Data Conversion, Information Engineering, Data Infrastructure, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Mapping, Data Transformation, Data Migration, Data Mining, Data Normalization, Data Warehousing, IBM InfoSphere DataStage, Python (Programming Language), Pentaho Data Integration, Windows PowerShell, PL-SQL, SQL Databases, SQL Server Integration Services, Talend, Transact-SQL, Unstructured Data, Enterprise Data Management, Data Processing, Scripting, Informatica Powercenter, Delivery Pipeline, Database Migration, Amazon Relational Database Service, AWS Glue, Apache Nifi, Cloud Migration, Data Pipelines, Devsecops, Legacy Systems, Amazon Redshift
- **Published:** October 31, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9281026/mid-level-data-migration-engineer

## About the Role

Zachary Piper Solutions is seeking a Mid-Level Data Migration Engineer to support a company focused on federal modernization, cloud transformation, and mission-critical technology initiatives. This position is on-site in Huntsville, AL. Candidates must have an active Top Secret security clearance., * 4+ years of experience supporting data migration, ETL, data engineering, data integration, or related data environments, with a Bachelor's degree required

 * Hands-on experience working with structured and unstructured data, including data mapping, transformation, cleansing, normalization, and validation
 * Experience with ETL tools, data pipelines, scripting languages, and/or migration automation technologies
 * Strong analytical and troubleshooting skills with experience identifying and resolving data quality, integrity, and migration issues
 * Must have an Active Top Secret Security Clearance, * Experience supporting large-scale, enterprise, or multi-system data migration initiatives
 * Hands-on experience with AWS or other cloud-based data pipelines and migration environments
 * Familiarity with DevSecOps, CI/CD pipelines, automated testing, and cloud modernization
 * Experience supporting DOJ, FBI, Intelligence Community, or other national security programs

## Description

The Data Migration Engineer Mid will support the extraction, transformation, validation, and migration of high-volume data from legacy systems into secure cloud environments. This is an opportunity to play a key role in modernizing critical government systems by supporting ETL pipelines, data quality, and migration activities for high-impact national missions., * Support ETL workflows and data migration pipelines used to extract, transform, cleanse, normalize, validate, and load data from legacy systems into modern environments

 * Perform data mapping, integrity checks, completeness assessments, and troubleshooting to ensure migrated datasets are accurate and properly formatted
 * Collaborate with data engineers, migration engineers, DevSecOps teams, QA engineers, and cloud architects to validate source and target environments and support migration readiness
 * Participate in migration testing, technical reviews, data validation checkpoints, and resolution of issues affecting migration performance or data quality
 * Maintain technical documentation for migration processes, ETL workflows, schemas, data mappings, pipeline behavior, risks, and operational progress, Keywords: Data Migration Engineer, Mid-Level Data Migration Engineer, Data Engineer, ETL Engineer, ETL Developer, Data Integration Engineer, Data Integration Developer, Data Conversion Engineer, Data Conversion Specialist, Database Engineer, Database Developer, SQL Developer, Data Warehouse Developer, Data Migration, ETL, ELT, Extract Transform Load, Extract Transform Load Pipelines, Data Integration, Data Conversion, Data Mapping, Source-to-Target Mapping, Schema Mapping, Data Transformation, Data Cleansing, Data Validation, Data Quality, Data Integrity, Data Normalization, Data Reconciliation, Structured Data, Unstructured Data, Data Pipelines, ETL Pipelines, Data Migration Pipelines, Pipeline Automation, Data Processing, Data Extraction, Data Loading, SQL, T-SQL, PL/SQL, Python, PowerShell, Bash Scripting, Informatica PowerCenter, Informatica, SSIS, SQL Server Integration Services, Talend, Pentaho, Apache NiFi, IBM DataStage, AWS Glue, AWS S3, Amazon Web Services, AWS, AWS Redshift, AWS
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