Data Pipeline QA Automation Engineer
Riseup Labs
AI assistant
Job Description
Build data quality automation with Riseup Labs using Snowflake, SQL, Python, and dbt in a hybrid Canadian workplace. Protect pipelines before production through practical testing.
This full-time QA Engineer role requires four to six years of QA or test engineering experience. You will test data pipelines, platforms, and applications while partnering with data engineers, platform engineers, project managers, product teams, and development squads. The work centers on reliable delivery and clear quality controls.
Key Responsibilities:
- Design Snowflake ETL and ELT pipeline testing strategies
- Create dbt and Python data quality checks
- Maintain unit, integration, regression, and end-to-end suites
- Validate Airflow or Dagster orchestration workflows
- Monitor quality dashboards and investigate production incidents
Requirements:
- Four to six years of QA or test engineering experience
- Hands-on data pipeline