Data Engineer – Senior

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.

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.

Must have Active Top Secret Security Clearance.
U.S. Citizenship.
Bachelors 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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