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Randstad Logo Randstad · IT - Software Development

Sdet quality engineer

Canada, Vancouver 36.49 - 48.66 USD / Hour · Job Posted May 30, 2026
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Job Description

We are seeking a highly analytical and technical SDET Quality Engineer specializing in Data Quality and Observability to join our team in Vancouver. In this role, you will act as the primary owner of data validation frameworks, ensuring data integrity, completeness, and schema consistency across large-scale distributed data systems. This is not a traditional front-end or API testing role; it requires a specialist who understands data infrastructure, pipelines, and cloud data warehouses. You will build automated testing strategies, debug complex transactional anomalies, profile query performance, and drive the institutional adoption of modern data observability tools across our global engineering streams. Location: Vancouver, BC (Hybrid – 4 days per week onsite) Contract Duration: 6-month contract with high likelihood of extension Work Schedule: Standard business hours, working closely with cross-functional data teams.

Job Responsibility

  • Implement comprehensive, automated data validation and testing strategies, including schema validation, structural data quality checks, and end-to-end reconciliation tests
  • Ensure consistent, automated data quality monitoring and alert coverage across critical enterprise data domains
  • Define, continuously evolve, and document enterprise data quality standards, compliance rules, and testing best practices
  • Drive org-wide adoption of data quality monitoring and observability tools by actively onboarding, training, and enabling cross-functional engineering teams
  • Monitor, isolate, and troubleshoot active data quality anomalies in runtime environments
  • Support data transparency by maintaining robust technical documentation, process maps, data lineage records, and data dictionaries
  • Deeply debug complex data inconsistencies across distributed systems using execution logs, profiling utilities, and data lineage tracking to isolate root causes
  • Test, profile, and optimize the performance of complex SQL queries, large-scale data pipelines, and cloud storage systems within structural architectural constraints
  • Partner with Data Architects, Analytics Engineers, and Business Analysts to define data quality requirements, review technical feasibility, formulate effort estimations, and establish testing scopes
  • Act as an autonomous, high-accountability owner of the data testing domain while pragmatically navigating architectural ambiguity

Requirements

  • 4–7 years of dedicated experience as a Data Quality Engineer, Data SDET, or Data Engineer with a heavy focus on automated verification
  • Hands-on operational experience with Databricks, PySpark, and the Snowflake data platform
  • High proficiency in SQL paired with strong programmatic capabilities in Python (preferred), Java, or Scala
  • Practical experience interacting with enterprise cloud data systems (Azure, AWS, or GCP)
  • Solid conceptual understanding of data management principles, storage models, ETL/ELT pipelines, dimensional data modeling, and modern data warehouse architecture
  • Active experience integrating automated data test suites into continuous delivery pipelines using Jenkins, Azure DevOps, or GitLab
  • Bachelor’s degree in Computer Science, Software Engineering, or an equivalent technical field

Nice to have

  • Direct experience working within the Retail or E-commerce industry is highly preferred
  • An inherently curious, self-starting diagnostic approach with a passion for uncovering precisely why systems behave a certain way
  • Exceptional clarity and transparency in technical writing and verbal communications

What we offer

  • Cutting-Edge Tech Stack: Take ownership of data quality across a world-class cloud data ecosystem leveraging Databricks, PySpark, and advanced observability tools
  • Broad Organizational Impact: Act as an internal consultant and subject matter expert, empowering multiple engineering lines to upgrade their data governance
  • Strong Extension Potential: Join a multi-phase program with a 6-month contract that is highly likely to extend long-term
  • Vibrant West-Coast Setting: Work in a highly collaborative, values-driven culture based out of a premier Vancouver office hub
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