Quality Assurance Engineer - Healthcare Application Testing
Summary
QA engineer (3-5 yrs) testing US healthcare payer applications, validating QNXT data across Claims, Membership, Provider, and Eligibility modules. Day-to-day work covers functional, regression, ETL, and backend data testing using Snowflake and SQL, plus defect management, root-cause analysis, and UAT support.
Job Description :
We are seeking a QA Engineer with hands-on experience in US Healthcare/Payer systems, QNXT, Snowflake, and SQL. The role focuses on functional and data testing across Claims, Membership, Provider, and Eligibility domains, ensuring the accuracy, integrity, and quality of healthcare data across applications and data pipelines.
Responsibilities :
- Perform functional, integration, regression, end-to-end, and data validation testing for healthcare applications and systems.
- Validate QNXT data across Claims, Membership, Provider, and Eligibility modules.
- Perform backend testing, data validation, and reconciliation using Snowflake and SQL.
- Test ETL processes, data migrations, transformations, and source-to-target data mappings.
- Create and execute test cases, document results, and manage defects through resolution.
- Investigate data discrepancies, perform root cause analysis, and collaborate with technical teams to resolve issues.
- Support User Acceptance Testing (UAT) and work closely with business, development, and data engineering teams.
- Ensure data quality, accuracy, and compliance with applicable healthcare requirements.
- Contribute to test process improvements and data quality initiatives.
Requirements :
- 3 - 5 years of experience in QA, data testing, or healthcare application testing.
- Hands-on experience testing QNXT and a strong understanding of the US Healthcare/Payer domain.
- Knowledge of healthcare processes across Claims, Membership, Provider, and Eligibility.
- Strong experience in Snowflake data testing and SQL-based backend validation and reconciliation.
- Experience with ETL testing, data migration, data transformation, and source-to-target validation.
- Good understanding of QA methodologies, test case design, defect management, and testing lifecycle practices.
- Strong analytical, troubleshooting, and problem-solving skills.
- Exposure to AWS, test automation, healthcare data warehouse/reporting validation, and Agile/Scrum methodologies is preferred.