Senior QA Lead - ETL, Databricks & Agentic AI Testing-Chicago, IL (Hybrid - 3 days onsite)

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Senior QA Lead ETL, Databricks & Agentic AI Testing

Location: Chicago, IL (Hybrid - 3 days onsite)

Duration: Contract

Experience: 10+ Years

• ETL & Data Testing
• Advanced SQL
• Azure Databricks / PySpark
• Agentic AI / GenAI Testing & Evaluation
• Web Testing
• Test Automation Tools (pytest, Great Expectations, dbt, etc.)
• Python Automation
• Azure Boards

• Define QA strategy, test plans, and reconciliation framework for large-scale data migration programs.
• Validate source-to-target data across ETL pipelines and Databricks environments.
• Build automated regression and data quality validation frameworks.
• Evaluate AI/LLM-generated queries and transformation logic using MLflow or similar tools.
• Ensure data integrity, compliance, security, and multi-tenant data isolation.
• Lead QA efforts, mentor engineers, manage defects, and provide executive-level reporting.

• 10+ years in ETL/Data Testing with ownership of test strategy.
• Strong SQL, Databricks/PySpark, and Python automation expertise.
• Experience with data reconciliation, migration validation, and test automation frameworks.
• Exposure to healthcare data, PHI compliance, and large-scale data platforms.
• Experience validating AI/Agentic systems is highly preferred.

Ideal Candidate: Senior QA professional with strong Data Testing, Databricks, SQL, Automation, and Agentic AI evaluation experience who can drive quality strategy and scalable validation across complex data platforms.