Senior QA Automation Engineer

CGI Njoyn; Fairfax (VA); Hybrid; USD 81,000 - 268,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive insurance options

401(k) match program

Paid time off

Paid parental leave

Tuition assistance

Wellness programs

Job summary

CGI in Fairfax, VA is seeking a Senior QA Automation Engineer to drive quality across data platforms and cloud-based apps. You will build and enhance automated testing frameworks, validate large data pipelines, and ensure data accuracy across AWS environments such as S3, Glue, and Redshift.

You will mentor others, advance CI/CD practices, and collaborate with Data Engineering, Architecture, and DevOps teams in a hybrid work model from Fairfax, VA; Knoxville, TN or Lafayette, LA offices.

Qualifications

• 7–10 years of experience in QA automation or quality engineering roles.
• Programming experience in Java and building automation frameworks.
• Advanced SQL skills with data validation, profiling, and reconciliation.
• Proven experience testing ETL/ELT pipelines and validating large scale data systems.
• Familiarity with AWS data services (S3, Glue, Redshift).
• Experience integrating automated tests into CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, etc.).
• Strong understanding of SDLC, Agile methodologies, shift left testing, and risk based testing.
• Experience with CloudWatch and Datadog.
• Proficiency with Git and testing frameworks.
• Strong analytical, troubleshooting, and problem solving skills.
• Excellent communication and collaboration skills.

Responsibilities

• Design, develop, and maintain scalable test automation frameworks for integration and end-to-end testing.
• Lead automated validation of ETL/ELT pipelines with data reconciliation and quality checks.
• Validate batch and near real-time data pipelines on AWS (S3, Glue, Redshift).
• Implement data quality checks within CI/CD pipelines and define quality gates.
• Collaborate with Data Engineers, Architects, and DevOps to shift testing left.
• Perform root cause analysis and drive remediation of defects and data discrepancies.
• Develop test strategies, plans, and risk-based coverage for complex data workflows.
• Mentor QA engineers and promote automation best practices.
• Maintain thorough documentation for frameworks and release validation.
• Support manual testing for complex or exploratory scenarios.

Skills

QA automation

Java automation

SQL data validation

ETL testing

AWS data services

CI/CD pipelines

Git

Testing frameworks

Observability tools

Agile methodologies

Education

Bachelors Degree

Tools

Jenkins

GitHub Actions

GitLab CI

CloudWatch

Datadog

Job description

Job order - J0726-1844 - Permanent Full Time

Title Senior QA Automation Engineer

Category Testing/Quality Assurance

City Fairfax, Virginia, United States

Job Description

Senior QA Automation Engineer

Position Description

CGI is looking for a Senior QA Automation Engineer to help drive quality across our data platforms and cloud-based applications. In this role, you'll build and enhance automated testing frameworks, validate complex data pipelines and ETL processes, and ensure data accuracy and reliability across AWS environments such as S3, Glue, and Redshift. You'll work closely with Data Engineering, Architecture, and DevOps teams to integrate testing early in the development lifecycle, improve CI/CD processes, and troubleshoot issues before they reach production. We're looking for someone with strong Java automation experience, advanced SQL skills, and a passion for solving complex data and quality challenges. This is a great opportunity for a hands‑on QA leader who enjoys mentoring others, driving best practices, and making a direct impact on enterprise-scale solutions.

This position is located in our Fairfax, VA, Knoxville, TN or Lafayette, LA office; however, a hybrid working model is acceptable.

Your future duties and responsibilities

• Design, develop, and maintain scalable and reusable test automation frameworks for integration and end to end testing.
• Lead automated validation of ETL/ELT pipelines, including data reconciliation, schema validation, and data quality checks across large scale datasets.
• Validate batch and near real time data pipelines across cloud platforms, including AWS (S3, Glue, Redshift).
• Implement data quality checks and automation within CI/CD pipelines, defining quality gates for deployment readiness.
• Collaborate with Data Engineers, Data Architects, and DevOps teams to integrate testing early in the development lifecycle (shift left).
• Perform root cause analysis for defects, test failures, and data discrepancies, drive resolution, and process improvement.
• Develop test strategies, test plans, and risk based coverage models for complex data workflows.
• Leverage observability and monitoring tools (CloudWatch, Datadog) to validate system and data behavior, and application behavior in pre production and production environments.
• Mentor QA engineers and promote best practices in automation, coding standards, and quality engineering.
• Work closely with DevOps and Cloud teams to optimize test execution speed, reliability, and environment setup.
• Maintain detailed and comprehensive documentation for test frameworks, validation processes, and release readiness/validation steps.
• Support manual testing when needed to validate complex use cases or exploratory scenarios.
• Validate data pipelines, transformations, and large scale data processing for accuracy and completeness.
• Contribute to non functional testing strategies including performance, resilience, and basic security validation.

Required qualifications to be successful in this role

• 7–10 years of experience in QA automation or quality engineering roles.
• Programming experience in Java and expertise in building automation frameworks.
• Advanced SQL skills with experience in data validation, profiling, and reconciliation.
• Proven experience testing ETL/ELT pipelines and validating large scale data systems.
• Familiarity with AWS cloud services, especially data services (S3, Glue, Redshift).
• Experience integrating automated tests into CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, etc.).
• Strong understanding of SDLC, Agile methodologies, shift left testing, and risk based testing approaches.
• Experience with observability and monitoring tools (CloudWatch, Datadog).
• Proficiency with Git and testing frameworks.
• Strong analytical, troubleshooting, and problem solving skills.
• Excellent communication and collaboration skills.

Minimum Education Required:

Bachelors Degree

OPTIONAL: Desired qualifications/non essential skills required

Preferred Experience

• Experience with data validation frameworks.
• Familiarity with containerization and orchestration (Docker, ECS/EKS).
• Exposure to distributed systems, microservices, and modern data architectures.
• QA or cloud certifications (AWS).

Other Information

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 $80,600.00 - $267,800.00.

• 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

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Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

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