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Location: Hybrid Wayne, PA (3 days on site/week required)
Position Responsibilities:
- Design and execute test plans, automation, and defect tracking for ELT/ETL pipelines, payer data, APIs, and reporting measures.
- Develop and implement QA automation frameworks for Databricks, ADF, and CI/CD workflows.
- Embed automated quality checks, schema validation, and reconciliation logic across data pipelines and deployments.
- Use Python, SQL, Azure DevOps to automate anything that is repeatable process.
- Collaborate with engineering and governance teams to ensure end-to-end data quality, leveraging PySpark, SQL, and Python.
- Ensure compliance with HIPAA, CMS, and industry standards, documenting QA processes and delivering audit-ready evidence.
Required Skills
- Healthcare Payer background is a must
- 1+ year recent hands-on Data Bricks or Snowflake or Google BigQuery
- Azure DevOps a must (Test Plans) – reporting how many test cases pass/fail
- Strong understanding of Medallion or Lakehouse architecture and Data Engineering core concepts
- SQL experience a must – hands-on writing queries
- Understanding of repeatable processes turned into Automation. Use Python, SQL, Azure DevOps to automate anything that is repeatable process.
- 7+ years of experience in Data QA/testing
- Strong proficiency in Python and SQL for test automation.
- Solid understanding of data governance, PII compliance, and data quality frameworks.
- Background in CI/CD pipelines, DevOps practices, and cloud-based data platforms.
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