Quality Engineer – Data Platforms (Snowflake/Databricks)

This job has been expired
Remote
C2C

We are looking for a QA Engineer with strong expertise in manual and automation testing, hands-on coding experience, and deep knowledge of data validation and ETL processes. The ideal candidate will have experience testing data pipelines, data warehouses, and healthcare systems in a cloud-based environment.

Key Responsibilities:

  • Perform manual and automation testing for data-driven applications
  • Validate ETL pipelines and backend data using SQL and Python
  • Develop automated database validation and test scripts
  • Test data warehousing solutions and ensure data accuracy across sources
  • Work in Agile/Scrum teams and integrate testing into CI/CD pipelines

Required Skills:

  • Strong SQL (complex queries, joins, aggregations)
  • Python for test automation (SQLAlchemy, Pandas)
  • Automation tools: Selenium, Airflow
  • ETL & Data Platforms: Databricks, Snowflake, Informatica, Talend
  • Data Warehousing concepts (Star/Snowflake schema, SCD)
  • Healthcare domain experience (Medicaid, HIPAA, claims, ICD/CPT/HL7)
  • Tools: Azure DevOps, JIRA, GitHub, Tableau/Power BI

Nice to Have:

  • Experience with AI tools (GitHub Copilot, M365 Copilot, Snowflake Cortex)
  • Exposure to AI/ML model and data pipeline testing
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