We're seeking a QA Automation Engineer to join our Data Engineering team and take ownership of quality assurance across our data pipelines and infrastructure. This role will be instrumental in building and maintaining automated test suites that ensure the reliability and accuracy of our healthcare data systems. You'll work closely with a small, focused team of data engineers to establish testing strategies, prioritize coverage for critical data paths, and maintain quality standards as we scale.

• Quality Ownership: Own and maintain the automated test suite that runs in our CI pipeline, including integration tests, data quality checks, and smoke tests for our data infrastructure.

• Strategic Collaboration: Partner closely with data engineers to understand pipeline architecture, identify critical data paths, and develop comprehensive testing strategies that prioritize business-critical datapoints.

• Test Development: Write and maintain automated tests for data pipelines using Python and TypeScript, ensuring coverage across batch and event-driven workflows.

• Data Validation: Implement data quality checks including row counts, schema validation, key-column validation, idempotency testing, and duplicate handling across ETL processes.

• CI/CD Integration: Build and maintain testing frameworks that integrate seamlessly with our CI/CD pipelines using GitHub Actions, AWS CodePipeline, and CodeArtifact.

• Documentation & Standards: Document test cases, testing strategies, and coverage metrics to establish repeatable quality standards across the data team.

• Continuous Improvement: Identify testing gaps and systematically expand coverage toward end-to-end testing of critical data pipelines.

ISTQB Certification