4 month contract + long-term extension Hybrid 3x per week in Toronto Pay: $65-70/hr incorp

Must Haves 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) 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 DevOps processes (GitHub preferred) Experience working in Agile environments using tools such as Jira, Confluence, and ServiceNow 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 GitHub 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 DevOps teams to integrate testing into CI/CD pipelines using GitHub, 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.