Note: The job is a remote job and is open to candidates in USA. SMARTFOX is seeking an EDA DataOps Quality Engineer (Tester) to drive test automation and quality assurance across enterprise data platforms. The role designs, builds, and executes automated testing for data pipelines, APIs, and Databricks processing solutions to ensure production-quality data solutions.

Responsibilities

• Design and execute automated quality engineering tests for data pipelines, APIs, and Databricks-based data processing solutions
• Develop reusable automation frameworks using Python/Pytest and perform SQL-based source-to-target, reconciliation, and data-quality validation
• Validate ETL/ELT pipelines, transformation rules, Delta tables, and large-volume datasets across environments
• Integrate automated tests into Azure DevOps CI/CD pipelines and support regression, integration, and API testing
• Collaborate with data engineers, developers, and business teams to identify defects, validate fixes, and ensure production-quality data solutions
• Conduct Data Warehouse ETL Testing at an advanced (P3) level

Skills

• Python (5+ years)
• Pytest (5+ years)
• SQL (5+ years)
• Data/ETL Testing (5+ years)
• Databricks Testing (5+ years)
• API Testing (5+ years)
• Test Automation (5+ years)
• Data Quality Validation (5+ years)
• Playwright
• CI/CD & Azure DevOps
• PySpark
• Delta Lake
• Azure / Cloud platforms
• Performance Testing
• Healthcare Payer Domain experience

Benefits

• Remote work

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