Data QA Engineer
Core
Foundational QA role ensuring reliability, accuracy, and fit-for-purpose of data products and pipelines in a cloud-native environment.
Role type
Data QA Engineer
Builds
Data pipelines, datasets, and related data products
Domain
Financial services (loan lifecycle data) / Cloud-native data platforms
Deliverable
production ML models | product features
Required skills
Test strategy development, automated testing (Python), SQL for data validation/reconciliation, defect lifecycle management, data quality concepts, cloud-native testing methodologies
Preferred skills
Experience with data warehouses/lakes, Microsoft Azure services (Synapse, Snowflake), loan lifecycle domain knowledge
Technologies
Python, SQL, Azure DevOps, Azure Synapse, Snowflake
Responsibilities
Develop and execute test strategies for data pipelines; identify quality risks and testing gaps; document and track defects in Azure DevOps; partner with Data Engineers to verify defect fixes; collaborate on release readiness and QA strategy
Seniority
Mid-level, hands-on IC
