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Lead Data QA (Healthcare Payer focused)
Lead Data QA (Healthcare Payer focused)Employvision Inc. • Philadelphia, PA, United States
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Lead Data QA (Healthcare Payer focused)

Lead Data QA (Healthcare Payer focused)

Employvision Inc. • Philadelphia, PA, United States
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  • serp_jobs.job_card.full_time
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  • This is a Contract to hire position.
  • Position Summary

    We are looking for an experienced Lead Data Quality Engineer to oversee data testing and quality assurance efforts within large-scale healthcare payer environments. The ideal candidate brings deep knowledge of payer data , HEDIS metrics , and CMS Interoperability (FHIR) , along with hands-on expertise across the Azure data ecosystem —including Databricks , SQL , and Azure Data Factory . This role focuses on building automated validation processes, ensuring compliance, and maintaining trust in enterprise data pipelines.

    Core Responsibilities

    Quality Leadership

    • Develop and execute a data QA roadmap that covers all aspects of data testing—functional, non-functional, integration, and performance.
    • Manage and mentor QA professionals working across data and analytics initiatives.
    • Define measurable quality standards and dashboards to monitor key data assets.
    • Testing and Validation

    • Design, automate, and maintain testing frameworks for complex data pipelines and ETL processes.
    • Validate payer data elements, including claims, provider, and membership datasets.
    • Perform API-level validation aligned with CMS FHIR interoperability standards.
    • Verify HEDIS measure calculations and regulatory data submissions for accuracy.
    • Automation and Process Optimization

    • Build reusable validation frameworks using PySpark , Python , and SQL .
    • Implement automation checks in Databricks Delta Live Tables and ADF to detect schema drift, enforce data rules, and reconcile data movements.
    • Integrate automated QA gates within CI / CD pipelines using Azure DevOps .
    • Collaboration and Technical Delivery

    • Partner with data engineers, architects, and business analysts to resolve data integrity issues.
    • Work with governance and compliance teams to align QA practices with HIPAA , CMS , and internal audit standards.
    • Drive continuous improvement in testing efficiency and platform performance.
    • Required Skills and Experience

    • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
    • 10+ years of experience in data QA / testing, with at least 5 years leading teams.
    • Hands-on expertise with Azure Databricks (Delta Lake, DLT, Unity Catalog) and Azure Data Factory .
    • Strong programming skills in Python , PySpark , and SQL for automation.
    • Familiarity with Great Expectations , Azure DevOps , and data governance frameworks .
    • Proven ability to manage QA across cloud-based data platforms using Agile / DevOps principles.
    • Preferred Skills

    • Exposure to HL7 / FHIR data structures and payer interoperability standards.
    • Understanding of Lakehouse and medallion architecture concepts.
    • Knowledge of Power BI or Tableau for validating analytical / reporting layers.
    • Experience with tools such as Collibra for data governance integration.
    • Professional certifications such as Azure Data Engineer or Databricks Certified Engineer are advantageous.
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    Qa Lead • Philadelphia, PA, United States

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