Senior Data Engineer; Secret Cleared

Senior Data Engineer (Secret Cleared)

Category: Analytics and Emerging Digital Technologies

Main location: United States, Virginia, Arlington

Position : J

Employment Type: Full Time

Position

Description:

CGI Federal is seeking a Senior Data Engineer to design, implement, and support data pipelines and systems that meet client data needs within an Azure Data Lake/Databricks environment. This role requires an active Secret security clearance and will focus on new data ingest support for RFMS/C, RFMS/D, GovTA, and Cash Rec pipelines, enabling the current team to remain focused on GFACS and GFMS/RFMS priorities.

This position is located in Arlington, VA.

• Design, build, and support scalable ingestion pipelines for RFMS/C, RFMS/D, GovTA, and Cash Rec into the Azure Data Lake/Databricks platform.
• Implement ETL/ELT workflows (ingest, transform, validate, and publish) using Databricks and supporting Azure services as applicable.
• Ensure data is accurate, consistent, and accessible for analytical and reporting use through automated validation, reconciliation, and data quality checks.
• Optimize pipeline performance, cost, and reliability; troubleshoot failures, perform root cause analysis, and implement permanent fixes.
• Collaborate with downstream consumers (analysts, reporting teams) and upstream source owners to define schemas, mappings, refresh cadence, and operational expectations.
• Produce and maintain technical documentation, data mappings, operational runbooks, and support procedures.
• Mentor junior data engineers and promote engineering best practices (coding standards, testing, peer reviews, and operational excellence).

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent practical experience).
• 5–8 years of experience in data engineering, ETL/ELT development, and production pipeline support.
• Strong knowledge of ETL processes, data warehousing concepts, and data pipeline frameworks.
• Proficiency in Python and SQL (data transformation, validation, and troubleshooting).
• Hands on experience with cloud based data storage and processing solutions, preferably Azure and/or Databricks.
• Experience implementing data validation/reconciliation practices and supporting data quality in production environments.
• Ability to lead technical work streams and coordinate across multiple teams and stakeholders.
• Active Secret security clearance (required).

• Experience with Apache Spark (including performance tuning) and Delta Lake (if applicable).
• Experience with Azure services commonly used for ingestion/orchestration (e.g., ADLS, Azure Data Factory, Azure Synapse).
• Experience with CI/CD and automated deployment approaches for data pipelines (tooling as applicable).
• Experience working in Agile delivery environments.

• Data Engineering
• Data Engineering
• Data Pipelines
• ETL
• Microsoft Azure Data Factory
• RESTful (Rest-APIs)

CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role.

Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $70,800.00 $.

• Competitive compensation
• Comprehensive insurance options
• Matching contributions through the 401(k) plan and the share purchase plan
• Paid time off for vacation, holidays, and sick time
• Paid parental leave
• Learning opportunities and tuition assistance
• Wellness and Well being programs

Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status,…