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ETL Tester

Job in Toronto, Ontario, C6A, Canada
Listing for: Insight Global
Full Time position
Listed on 2026-09-20
Job specializations:
  • Quality Assurance - QA/QC
    IT QA Tester / Automation, AI QA / Validation Engineer
  • IT/Tech
    IT QA Tester / Automation
Salary/Wage Range or Industry Benchmark: 90000 - 120000 CAD Yearly CAD 90000.00 120000.00 YEAR
Job Description & How to Apply Below
  • 8-12 years of experience in Quality Engineering with a strong focus on automation testing
  • Hands-on experience testing data pipelines and validating data flows for reporting tools (Tableau experience preferred)
  • VERY strong experience with SQL for querying and validating data within SQL Server
  • Experience using Python for test automation and scripting
  • Proven experience writing and executing automated test scripts using Selenium and QTest
  • Experience designing and executing QA test plans, including creating detailed test cases
  • Experience working with CI/CD pipelines and Dev Ops processes (Git Hub preferred)
  • Experience working in Agile environments using tools such as Jira, Confluence, and Service Now
  • Strong understanding of end-to-end testing across data pipelines, including data validation and reporting outputs
Nice to Haves
  • Experience with Tableau reporting validation
  • Experience triggering and managing automated tests through Git Hub pipelines
  • Previous experience supporting data-heavy or reporting-focused applications
  • Exposure to automation frameworks and building reusable testing assets
Job Description

Insight Global is looking for a Senior QA Automation Engineer to join a high-performing team focused on data pipeline validation and reporting quality. This individual will be responsible for designing and executing test plans, creating automated test scripts, and ensuring the accuracy of data being processed and delivered to downstream reporting tools such as Tableau.

This role requires strong experience with SQL and Python to validate and automate testing across complex data pipelines. The engineer will work closely with development and Dev Ops teams to integrate testing into CI/CD pipelines using Git Hub, ensuring continuous quality across releases.

The team operates in a fast-paced Agile environment, and this individual will be expected to contribute to test strategy, collaborate across teams, and support a culture of automation and continuous improvement. This is a highly hands-on role where the majority of work will focus on automation testing, data validation, and improving overall QA efficiency across the pipeline.

We may use artificial intelligence tools to assist with the screening, assessment, or selection of potential applicants for this position.

Vacancy: This posting is for a currently vacant role, and the successful candidate will be hired into an existing open position.

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