Data QA Engineer

About The RoleJob TitleData QA EngineerLocation2 days/week on-site Newtown Square, PA (willing to consider less for a very strong candidate)Duration6 month contract to hireCompensation$60/hr C2C MAXWork StatusUSC/GCNotesStatus/UpdatesJob DescriptionOur Greater Philadelphia area client is looking for a Data QA. This is a permanent role by way of 6+ month contract-to-hirePosition 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 - BSA to directly connect with the business. Prior authorization, Claims Processing 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 Data QA experience 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. Excellent communication skills for cross-functional collaboration.Bonus Skills Python highly preferred BI experience highly preferred HEDIS knowledge very highly preferred Experience with HL7/FHIR data models beyond payer-specific scenarios Familiarity with BI tools (Power BI, Tableau) for validating reporting layer data Expertise in automation frameworks for data QA and pipeline regression testing Certifications: Microsoft Certified Azure Data Engineer Associate, Databricks Certified Data EngineerPyspark a bonus Familiarity with Agile/Scrum methodologies is a plusKey Responsibilities & SkillsHealthcare Payer Data QAELT/ETL Pipeline TestingData Governance & PII ComplianceMedallion Lakehouse ArchitectureData Reconciliation & Schema ValidationClaims & Prior Authorization KnowledgeHEDIS KnowledgeHL7/FHIR Data Model UnderstandingTechnical SkillsPython / PySparkSQLAzure DevOps (Test Plans)Azure Data Factory (ADF)Databricks / Snowflake / Google BigQueryCI/CD / Azure PipelinesPower BI / TableauAzure Cloud PlatformEducationBachelor's Degree in Computer Science, Data Science, Information Systems, Health Informatics, Healthcare Administration, Business Analytics. Preferred: Master's in Data Science, Master's in Computer Science, Master's in Health Informatics, MBA, Master's in Analytics.Industry ExperienceHealthcare / Health InsurancePayer OperationsMedical Claims ProcessingHealth Data AnalyticsCloud Data PlatformsAzure Data Engineering#JoinOurTeam #NowHiring #ApplyToday