Mid-Level ETL & Data Migration Engineer

CGI•Huntsville, AL

22h

About The Position

CGI Federal is seeking a mid-level ETL & Data Migration Engineer to support data extraction, transformation, validation, and loading within a major federal modernization program. The role contributes to large-scale data migration operations by executing ETL workflows, preparing data for cloud ingestion, resolving transformation issues, and meeting data quality standards. The engineer works with senior migration staff and technical teams to deliver reliable, accurate, and repeatable data operations throughout mission-critical modernization cycles. The position is located in Huntsville, Alabama. The engineer handles structured and unstructured datasets migrating from legacy systems to cloud environments, supports migration readiness and cutover activities, monitors data pipelines, and verifies transformed data. The role also involves collaborating across engineering, QA, cloud, and product teams; participating in agile planning activities; and maintaining documentation and status reports for repeatable migration cycles.

Requirements

Active Top Secret security clearance.
U.S. citizenship.
Bachelor's degree and at least 4 years of hands-on experience in ETL operations, data transformation, or data migration.
Experience with structured and unstructured datasets and transformation logic.
Familiarity with ETL tools, scripting languages, and data pipeline operations.
Strong analytical and problem-solving skills and high attention to detail.
Ability to work effectively in multi-team, fast-paced technical environments.

Nice To Haves

Experience supporting federal modernization or national security programs.
Experience with containers and orchestration, such as Docker and Kubernetes.
Familiarity with microservices, distributed systems, and cloud-native architectures.
Scripting experience with Python, Bash, or PowerShell.
Experience supporting federal programs, including DOJ, FBI, or Intelligence Community programs.
Experience with cloud migration or cloud-based ETL operations; AWS is preferred.
Familiarity with DevSecOps workflows, CI/CD processes, or distributed compute tools.
Intermediate scripting or automation skills, such as Python, Bash, or PowerShell.

Responsibilities

Execute ETL workflows for structured and unstructured datasets migrating from legacy systems to cloud environments.
Extract, transform, cleanse, normalize, and enrich data according to migration specifications.
Troubleshoot transformation issues and coordinate resolution with senior ETL and data engineering staff.
Support automation improvements that increase the repeatability and reliability of ETL operations.
Prepare datasets for migration cycles, including pre-migration readiness checks and staging activities.
Assist senior engineers during large-scale extraction events, test cycles, and cutover operations.
Monitor pipelines and perform basic performance validation during data movement operations.
Verify the accuracy, completeness, and consistency of transformed data.
Identify defects or anomalies and work with engineering and QA teams on root cause analysis.
Document recurring issues and support improvements to validation processes and quality controls.
Collaborate with Data Engineers, Senior ETL & Migration Engineers, QA/Test Engineers, Cloud Engineers, and Product Owners.
Participate in sprint ceremonies, backlog refinement, and migration planning discussions.
Support integration of ETL processes with broader data pipelines and downstream systems.
Maintain data maps, ETL logs, transformation procedures, SOPs, and technical notes.
Provide updates on ETL execution progress, validation findings, and pipeline status.
Document workflows and repeatable processes for consistent future migration cycles.