Data QA– Health Care Payer Domain

Hybrid, Philadelphia, PA (19073) · Contract to Hire or Contract · 8+ years experience

About the role

Seeking a Data QA with strong experience in the healthcare payer domain to lead data quality assurance initiatives. The ideal candidate will have expertise in HEDIS, CMS Interoperability (FHIR), payer data standards, and hands-on experience with Azure Data Platform (Databricks, ADF). The focus is on ensuring data accuracy, reliability, and compliance while collaborating with data engineers, architects, and business stakeholders.

Responsibilities

• Data Testing & Validation: Design and implement test plans, test cases, and test automation for data pipelines (ELT/ETL); validate payer data including claims, membership, provider, and clinical datasets; conduct FHIR-based API testing for CMS Interoperability compliance; validate HEDIS measure calculations and quality reporting data.
• Automation Strategy & Framework: Define and execute QA automation strategy for Databricks (Delta Live Tables, Delta constraints) and ADF pipelines; implement reusable Azure DevOps Test suites and integrate with CI/CD workflows.
• Pipeline Quality Automation: Embed DLT expectations and enforce Delta table constraints for schema and business rule validations; automate ADF pre/post-copy checks, schema drift detection, and reconciliation logic.
• CI/CD Integration: Develop Azure DevOps pipelines with QA gates for Databricks Jobs/DLT and ADF deployments.
• Technical Delivery: Collaborate with product owners, Azure Data Factory (ADF), Databricks, and Snowflake engineering teams to ensure end-to-end data quality; build and maintain data quality automation frameworks leveraging PySpark, SQL, and Python; work with data governance and business teams to resolve data quality issues.
• Performance & Scalability: Design automated load and stress tests for large-scale data pipelines.
• Compliance & Best Practices: Ensure data QA practices adhere to HIPAA, CMS, and payer industry standards; partner with data governance teams to validate data lineage and traceability; document QA processes, test results, and provide audit-ready evidence; mentor and guide junior QA resources.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
• 8+ years in data QA/testing, with at least 3 years in a Healthcare Payer Domain.
• Strong expertise in Azure Databricks (Workflows, Delta Lake, Delta Live Tables, Unity Catalog).
• Hands-on experience with Azure Data Factory (pipelines, monitoring, CI/CD).
• Proficiency in Python, PySpark, SQL for test automation.
• Familiarity with Great Expectations, Azure DevOps, and Collibra.
• Knowledge of data governance, PII compliance, and data quality frameworks.
• Experience in CI/CD pipelines, DevOps practices, and cloud data platforms.
• Strong communication and leadership abilities for cross-functional teamwork.