Data Engineer - Senior

CGI

$110K — $130K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Active Top Secret Security Clearance required.
  • U.S. Citizenship is mandatory.
  • Bachelor's degree and at least 8 years of experience in data engineering or ETL development.
  • Hands-on experience with data pipelines for structured and unstructured data.
  • Strong skills in data modeling, transformation logic, and automation.
  • Familiarity with AWS and DevSecOps tools, plus scripting languages.
  • Excellent analytical and problem-solving capabilities.

Responsibilities

  • Design and optimize scalable data pipelines for large datasets.
  • Implement ETL/ELT processes for multi-source data migrations.
  • Develop data models and integration structures for legacy to cloud transitions.
  • Enhance automation and performance of cloud-based data pipelines.
  • Lead data quality initiatives including cleansing and validation.
  • Collaborate with engineers to integrate data flows with program architecture.
  • Mentor junior engineers and support technical discussions.

Benefits

  • Full-time employment with potential for long-term career growth.
  • Opportunity to work on significant federal modernization projects.
  • Collaborative environment with experienced professionals.
  • Mentorship from senior team members in data engineering practices.
Full Job Description
Find similar career opportunities

Data Engineer - Senior

Category: Database Administration

Main location: United States, Alabama, Huntsville

Position ID:J0926-0564

Employment Type: Full Time

Position Description:

CGI Federal is seeking a Senior Data Engineer to support large scale data engineering and migration activities for a major federal modernization program. This role is responsible for designing, developing, optimizing, and operating data pipelines supporting petabyte scale migration, transformation, and storage of structured and unstructured datasets. The Senior Data Engineer ensures data flows are reliable, repeatable, secure, and aligned to architectural standards required for transferring legacy datasets into modern cloud environments.

Your future duties and responsibilities:

Data Pipeline Development & Engineering
• Design, build, and optimize scalable data pipelines enabling ingestion, transformation, and loading of large datasets.
• Implement ETL/ELT processes supporting multi source, multi format data migration.
• Develop data models, schemas, mapping artifacts, and integration structures for legacy to cloud migration.
• Enhance automation, performance tuning, throughput, and fault tolerance within cloud based pipelines.
Data Quality, Transformation & Validation
• Lead data cleansing, normalization, enrichment, and validation efforts across legacy sources.
• Perform root cause analysis on data anomalies and guide corrective actions.
• Coordinate with QA/Test Engineers to embed data validation and automated testing into pipeline workflows.
Cloud Integration & System Support
• Support data engineering activities within AWS cloud environments (preferred).
• Collaborate with Cloud Engineers, DevSecOps teams, Migration Engineers, and system developers to integrate data flows with program architecture.
• Ensure compliance with security, logging, auditing, and handling requirements across environments.
Technical Leadership & Collaboration
• Mentor Data Migration Engineers and Mid Level Data Engineers on pipeline operations and data best practices.
• Participate in technical reviews, sprint activities, and architecture discussions.
• Support migration readiness assessments, backlog refinement, and multi team planning.
Documentation, Reporting & Risk Management
• Produce detailed documentation including pipeline diagrams, mapping specs, data dictionaries, and process guides.
• Track migration progress, pipeline performance, data quality status, and operational risks.
• Identify blockers affecting migration throughput and support timely mitigation.

Required qualifications to be successful in this role:
• Must have Active Top Secret Security Clearance.
• U.S. Citizenship.
• Bachelor's degree and 8+ years of experience in data engineering, ETL development, or large scale data operations.
• Hands on experience building pipelines for structured/unstructured data across enterprise environments.
• Strong proficiency in data modeling, transformation logic, and automation.
• Familiarity with cloud environments (AWS preferred), DevSecOps tooling, and scripting languages.
• Excellent analytical, documentation, and problem solving skills.
Preferred Qualifications
• Experience with petabyte scale or multi system migration programs.
• Background supporting DOJ, FBI, Intelligence Community, or national security customers.
• Experience with CI/CD integration, automated testing pipelines, or micro service architectures.
• Advanced knowledge of ETL frameworks, distributed compute tools, or cloud native data services.

Due to the nature of this government contract, US Citizenship is required.

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