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QA Lead, IT​/Tech, Data Engineer

Job in St. Louis, Saint Louis, St. Louis city, Missouri, 63105, USA
Listing for: TechDigital Group
Full Time position
Listed on 2025-12-01
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, IT QA Tester / Automation, Data Security
Job Description & How to Apply Below
Location: St. Louis

Key responsibilities:

  • Data Quality Strategy & Leadership:

    • Define and execute a comprehensive data quality testing strategy for data products, data services, and integrations.

    • Establish best practices for data validation, reconciliation, and anomaly detection.

    • Develop data quality KPIs and metrics to measure and improve data reliability.

    • Lead and mentor a team of data testers and QA engineers to drive excellence in data testing.
  • End-to-End Data Testing & Automation:

    • Oversee functional, integration, regression, and performance testing of data pipelines and ETL processes.

    • Implement automated data validation frameworks using Python, SQL, and cloud-native tools.

    • Drive the integration of test automation into CI/CD/CT pipelines for continuous data quality assurance.

    • Define and enforce data testing standards across teams to ensure consistency and accuracy.
  • Integration & Performance Testing:

    • Lead data API and service integration testing to validate data flows between systems.

    • Conduct performance and scalability testing to ensure the efficiency of data pipelines and queries.

    • Collaborate with data engineers, architects, and Dev Ops teams to optimize data processing workflows.
  • Governance, Compliance & Issue Resolution:

    • Ensure compliance with regulatory and security standards (e.g., HIPAA, GDPR).

    • Establish and maintain data lineage, metadata validation, and data governance controls.

    • Manage and drive resolution of data quality issues, defects, and anomalies through proactive monitoring.

    • Act as a liaison between Product leaders, Delivery Leaders / Technical managers, End Users, and QA Testers to ensure alignment on data quality goals.
  • Required

    Work Experience:

    Lead and drive the end-to-end data quality strategy for our enterprise data products and services.

    Required:

  • 15+ years of experience in data quality testing, data validation, or data engineering QA, with at least 3+ years in a leadership role.
  • Expertise in data warehouse, data lake, and ETL testing on cloud-based platforms (preferably GCP Big Query).
  • Strong proficiency in SQL and Python for data validation and automation.
  • Experience with data testing frameworks (e.g., Great Expectations, dbt tests, Deequ).
  • Proven track record of test automation, CI/CD integration, and performance testing.
  • Defining Test Data requirements / Test Bed for large projects / programs.
  • Strong analytical and problem-solving skills with the ability to debug complex data issues.
  • Excellent leadership, communication, and stakeholder management skills.
  • Preferred:

  • Experience in healthcare data platforms and compliance regulations (HIPAA, FHIR, HL7).
  • Familiarity with data observability, metadata management, and governance tools (e.g., Collibra, Monte Carlo).
  • Knowledge of GCP data services, including Dataflow, Pub/Sub, and Cloud Storage.
  • Experience in data API testing and service validation.
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