Sr Data QA Engineer
Core
Designing and executing automated data quality tests, validation logic, and monitoring for data pipelines, transformations, and analytics outputs.
Role type
Senior IC data quality engineer (automation & validation)
Builds
Automated test suites, data validation rules, monitoring alerts, and regression frameworks for data pipelines and dashboards
Domain
Data engineering, data quality, and analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, JavaScript, C#, test automation (Cypress, Great Expectations), CI/CD pipelines, version control, data observability, defect analysis
Preferred skills
Power BI, Tableau, semantic modeling, data lineage tracing
Technologies
Jenkins, Git, Cypress, Great Expectations, SQL, Python, JavaScript, C#
Responsibilities
Develop automated tests for pipeline requirements and transformation logic; write and optimize SQL queries for data validation; build regression suites for critical datasets; integrate test automation with deployment systems; implement data observability checks and alerting; mentor team members on data testing best practices
Seniority
Senior, hands-on IC
