Senior Data Quality Automation Engineer

Are you driven by the challenge of validating complex data systems and ensuring the reliability of data products that power business critical decisions? Do you excel at debugging distributed data workflows, analyzing transformations, and engineering automated validation solutions for large scale data environments?

We are expanding our Data Quality Engineering function and seeking technically strong contributors who can design, implement, and optimize automated data validation frameworks across our data platform.

As a senior data quality automation engineer
, you will work closely with data engineering, analytics, and platform teams to enforce rigorous data quality standards, embed automated validation into data lifecycle processes, and ensure the correctness and stability of our pipelines and data products.

We practice a remote first model working model, leveraging in-person interactions at our head office, in beautiful Vancouver, BC for strategic, collaborative, and social purposes.

Apply now and grow your career with our technology team as a senior data quality automation engineer!

What you'll do as a senior data quality automation engineer:

• Build and maintain automated data validation frameworks to ensure accuracy, completeness, and integrity across ETL pipelines and downstream consumer systems.

• Develop Python based automated tests for source to target validation, business logic verification, schema enforcement, anomaly detection, and historical data consistency.

• Validate data logic and end to end flows across batch and streaming data systems using Airflow, Spark, Hive, SQL, and related tooling.

• Embed automated data quality checks into CI/CD pipelines to enable continuous validation, high signal to noise defect detection, and rapid feedback across environments.

• Collaborate with product, data engineering, analytics, and platform teams to define data quality requirements, validation criteria, and coverage strategies.

• Investigate data issues across pipelines and distributed systems, perform detailed root cause analysis using logs and data snapshots, and document actionable, reproducible defects in JIRA.

What We're Looking For

• 5+ years of Python development experience in data focused environments.

• 3+ years of advanced test automation experience with PyTest, Selenium, Playwright, or Rest Assured.

• 2+ years leading automation or data quality initiatives within an agile setting.

• Expertise designing and implementing CI/CD based automation pipelines for data validation.

• Strong background in developing or architecting testing frameworks for large scale or distributed data systems.

• Direct experience validating complex ETL systems, transformation pipelines, and analytics/reporting layers.

• Proficiency with Airflow, Spark, Hive, SQL, Allure, Great Expectations, and related technologies.

Why you'll love it here:

• Employee discounts on awesome tech from day one

• Flexible health benefits and wellness program

• TFSA and RRSP programs

• 100% matched company pension plan

• Training programs to build new and transferable skills

About Best Buy

As Canada's destination for the coolest tech, Best Buy offers one of the best work environments in the country! Our culture is one of inclusivity and belonging and provides employees an environment where they can bring their whole selves to work.

We believe in a fair and inclusive hiring process. We encourage you to apply even if you may not meet all the requirements.

Join our amazing team!

We are looking for people just like you.

Annualized Compensation Range

This job is eligible for a company performance bonus in addition to the compensation range above.

Starting pay offered will consider skills and experience. Your pay can grow as you build your career with us.

This posting is for a vacancy.