We are seeking a highly skilled and experienced QA Engineer with a minimum of 6 years of experience in supporting federal agency projects. The candidate will contribute to ensuring data accuracy, quality, and compliance in a complex environment involving both legacy systems and modern cloud platforms. This role offers remote flexibility but requires occasional onsite meetings in Washington, D.C.

REQUIRED QUALIFICATIONS:

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• Minimum of 6 years of QA experience, with direct experience in government data environments, preferably for the IRS.
• Proven ability to test data platforms, analytics environments, and legacy systems.
• Familiarity with data governance, data lineage, and compliance frameworks.
• Hands-on experience with QA automation tools and frameworks relevant to cloud and data platforms.
• Strong analytical and troubleshooting skills.
• Excellent communication and documentation abilities.

PREFERRED QUALIFICATIONS:

• Experience working with Immuta, Informatica EDC/Axon, or Databricks in a QA capacity.
• Knowledge of data privacy regulations (e.g., FISMA, FedRAMP).
• Understanding of z/OS mainframe environments and data migration/testing strategies involving legacy platforms.
• Previous exposure to AI/ML model testing or analytics validation.

• Develop and execute detailed QA strategies, test plans, and test cases across complex data platforms and integration environments.
• Perform both manual and automated testing of cloud-based and on-premise data workflows, analytics platforms, and legacy systems.
• Validate data across ETL pipelines, data lakes, and BI/AI/ML tools, ensuring data quality, integrity, and lineage.
• Collaborate with cross-functional teams, including developers, data engineers, and product owners, to understand system requirements and ensure complete test coverage.
• Work in compliance with government standards for data security, privacy, and access control.
• Support QA documentation and provide evidence for compliance reviews and audits.
• Conduct regression, integration, UAT, and performance testing in varied technical environments.
• Analyze test results, identify root causes of defects, and assist in timely resolution.