SDET - Data Quality

Posted 17 days ago

Job Details

Contract

Location

Vancouver, BC

Salary

dollar sign 50 to 59 per hour

Job Description

6-month contract Data Quality SDET working on a growing team delivering data engineering for a global enterprise organization.

Data Quality SDET contract role.
High growth team developing data engineering solutions for a global organization.
Primarily on site work environment in Vancouver, 4 days a week in office.

What & Why:
As a result of growth our client is looking to add an intermediate-level Quality Engineer role within their Enterprise Data Quality Engineering team, responsible for advancing data quality maturity across the organization. The role blends hands-on technical work with enablement and advocacy, ensuring that data quality standards, monitoring, and best practices are consistently adopted across teams and critical data domains. The core work involves implementing data validation and testing strategies, onboarding teams onto data quality tooling, debugging complex data issues across distributed systems, and optimizing pipeline performance. This is a great chance to join a growing team.

Who:
This client is one of the most recognizable Canadian brands, a true Vancouver success story who has expanded globally. They are well known for their corporate culture and has won major awards for their accomplishments. They have invested majorly in technology and have had an incredibly successful past few years, including a major strategic acquisition. They have an all-star leadership team who keeps you accountable and provides support while still affording you tremendous autonomy. They are located close to rapid transit in newly renovated offices in downtown Vancouver and have a primarily on site work environment with 4 days a week on site.

You:
You will bring the following education, skills and experience to the role:

4 to 7 years of experience in a Data Quality Engineering or similar role, with proficiency in SQL and at least one programming language including Python, Java, or Scala
Experience with Snowflake and Databricks platforms, including PySpark, alongside knowledge of ETL processes, data modeling, and data architecture fundamentals
Hands-on experience with data quality tools, data test automation, and DevOps tooling such as Jenkins, Azure DevOps, or GitLab, within a cloud environment such as AWS, Azure, or GCP
Demonstrated ability to debug complex data issues across distributed systems using logs, data profiling tools, and lineage tracking, with experience collaborating cross-functionally on data quality requirements and scope definition

Compensation:
This role pays between $50-59 per hour.

Next Steps:
If the sound of this opportunity excites you, and you’re confident that it’s a good fit for your experience and career goals, then we’d love to hear from you! Please send your updated resume to us by applying to this posting and one of our awesome team of recruiters will be in touch.

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