> Markdown version of [/jobs/ext/3730995-sr-etl-data-migration-engineer-176383](https://www.wearedevelopers.com/jobs/ext/3730995-sr-etl-data-migration-engineer-176383). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. ETL & Data Migration Engineer - 176383 - **Company:** Zachary Piper - **Location:** Huntsville, AL, United States - **Experience:** Expert - **Salary:** $140,000.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Bash Shell, Big Data, Cloud Computing, Continuous Integration, Data Integration, Extract Transform Load (ETL), Data Migration, Data Retrieval, Python (Programming Language), Windows PowerShell, Unstructured Data, Scripting, Performance Monitor, Data Management, Data Pipelines, Devsecops, Legacy Systems - **Published:** October 14, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9235984/sr-etl-data-migration-engineer-176383 ## About the Role * Bachelor's degree and 8+ years of hands-on experience in ETL development, data migration, or large-scale data engineering. * Strong experience designing and operating advanced ETL/ELT pipelines using data integration tools, scripting languages, and automation frameworks. * Expertise in structured and unstructured data transformation, cleansing, mapping, and validation. * Experience extracting data from legacy systems, supporting cloud ingestion, and working with big data tools; AWS experience preferred. * Proven pipeline diagnostics and root cause analysis skills. Federal modernization, petabyte-scale migration, Python, Bash, PowerShell, and DevSecOps/CI/CD experience preferred. * Must have an active Top Secret security clearance. ## Description * Design, build, and optimize scalable ETL/ELT pipelines to migrate structured and unstructured datasets from legacy systems into cloud environments. * Automate extraction, transformation, and ingestion workflows with effective sequencing, error handling, recovery, and performance monitoring. * Execute migration cycles, troubleshoot pipeline failures, and resolve data anomalies in collaboration with engineering teams. * Validate migrated data for accuracy and completeness, investigate defects, and implement repeatable data quality checks. * Partner with Cloud, DevSecOps, DBA, and QA teams while maintaining data mappings, transformation documentation, operational procedures, and migration status reports.