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Anavation

ETL/Data Migration Engineer (Senior)

Huntsville, ALfull timeseniorAdded yesterday

About this role

AnaVation seeks a mid-level ETL/Data Migration Engineer to design and maintain data pipelines for federal intelligence operations. You'll transform complex structured and unstructured datasets, manage migration projects, and support mission-critical systems while holding a Top Secret clearance.

What you'll do

  • Design, develop, and optimize ETL pipelines and data transformation workflows
  • Execute data migration projects involving structured and unstructured datasets
  • Maintain and troubleshoot ETL operations and data pipeline infrastructure
  • Collaborate across teams in fast-paced technical environments
  • Document data transformation logic and pipeline architecture
  • Support federal government and national security program requirements

What they're looking for

  • ETL tools and platforms
  • Data transformation and pipeline design
  • Scripting languages (Python, Bash, PowerShell)
  • Structured and unstructured data handling
  • SQL and database operations
  • AWS or cloud-based ETL
  • DevSecOps and CI/CD workflows
  • Problem-solving and attention to detail

Benefits

  • Generous cost-sharing medical insurance for employee and dependents
  • 100% company-paid dental, vision, and disability insurance
  • 401(k) with generous match and immediate vesting
  • Competitive salary and generous paid leave package
  • Tuition and training reimbursement
  • Life and AD&D insurance
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Anavation

Anavation builds technology solutions for government and federal agencies, including cloud infrastructure, security systems, data engineering, and custom applications. The company is hiring Security Engineers, Data Engineers, ServiceNow Developers, Systems Integration Engineers, and Full Stack Software Engineers to support mission-critical systems and cybersecurity initiatives.

View all jobs at Anavation

Likely interview questions

  • Walk us through your most complex ETL pipeline—what challenges did you face and how did you solve them?
  • Describe your experience with data migrations at scale. How did you handle data validation and reconciliation?