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 explicit 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 or ETL testing experience
- Strong SQL, Python, Snowflake, and dbt capabilities
- Experience integrating automated tests with CI/CD
- Canadian work authorization and nearby Vancouver, Calgary, or Toronto residence Apply data validation, pipeline automation, and analytical troubleshooting to strengthen Riseup Labs’ quality-first delivery practices.

📌 Data Pipeline QA Automation Engineer (Vancouver)
🏢 Riseup Labs
📍 Vancouver