Senior ETL & Data Migration Engineer

CGI•Huntsville, AL

15h•Onsite

About The Position

CGI Federal is seeking a Senior ETL & Data Migration Engineer to lead high complexity extract, transform, and load (ETL) operations supporting a major federal modernization program. This role is responsible for architecting, operating, validating, and optimizing data migration pipelines that move high volume, multi-source datasets from legacy environments into modern cloud platforms. The engineer serves as a senior technical contributor within the Migration Workstream, ensuring data quality, performance, and reliability throughout large scale migration cycles.

Requirements

Must have Active Top Secret Security Clearance.
U.S. Citizenship.
Bachelor’s degree and 8+ years of experience in ETL development, data engineering, or enterprise scale migration operations.
Strong experience with ETL tools, scripting languages, automation frameworks, and high volume data pipelines.
Hands on experience with legacy system extraction, cloud ingestion, and multi format data transformation.
Proven troubleshooting skills, including pipeline diagnostics and root cause analysis.
Ability to operate in fast paced, multi team environments supporting mission critical delivery.

Nice To Haves

Experience supporting federal modernization programs including DOJ, FBI, or Intelligence Community.
Experience operating ETL pipelines within AWS or other cloud environments.
Familiarity with DevSecOps workflows, CI/CD pipelines, and distributed compute tools.
Advanced scripting or automation expertise (Python, Bash, PowerShell, etc.).
Experience supporting petabyte scale data migrations or multi system consolidation.

Responsibilities

Design, develop, optimize, and maintain scalable ETL/ELT pipelines supporting petabyte scale data migration.
Build extraction and transformation logic for structured and unstructured datasets.
Engineer automated workflows for performance, throughput, error handling, and resiliency.
Align pipeline architecture with cloud landing zone requirements and modernization standards.
Lead operational execution of ETL tasks during migration cycles, ensuring correct sequencing and validation.
Troubleshoot pipeline failures, resolve data anomalies, and coordinate with engineering teams to stabilize operations.
Conduct readiness testing and verify integration points between legacy systems and cloud targets.
Perform detailed data quality checks, completeness assessments, and validation of migrated data.
Lead root cause analysis for data defects and support corrective actions across the migration workflow.
Document recurring issues, improve detection processes, and help define quality benchmarks.
Partner with Cloud Engineers, Data Engineers, DevSecOps teams, DBAs, QA/Test Engineers, and Product Owners.
Ensure ETL pipelines integrate seamlessly with cloud architectures, data models, monitoring tools, and downstream systems.
Participate in sprint ceremonies, technical reviews, and migration planning activities.
Create and maintain ETL documentation including data maps, flow diagrams, transformation logic, SOPs, and error logs.
Provide pipeline performance updates, migration status reports, and data quality metrics to leadership.
Support development of reusable processes and technical artifacts supporting repeatable migration operations.