Python and SQL specialists can shape data quality as Data QA Engineers based in Canada, supporting web extraction and AI-assisted solutions.
This Data QA Engineer role requires at least five years in QA, software testing, data testing, or data quality assurance. You will translate customer requirements into measurable standards and prevent defects before production. The work combines exploratory testing, data analysis, automation, and clear communication with developers, project managers, and clients.
Key Responsibilities:
- Define testable criteria and comprehensive QA strategies
- Test extracted datasets for defects and specification compliance
- Document reproducible defects with supporting evidence
- Analyze completeness, accuracy, consistency, and data drift
- Improve automation frameworks, QA processes, and tooling
Requirements:
- At least five years of relevant QA experience
- Python proficiency, preferably Pandas and Jupyter notebooks
- Basic to intermediate SQL validation skills
- Knowledge of HTML, XPath, JSON, HTTP, and CSS
- Experience testing HTTP or REST APIs
Use Python, SQL, exploratory testing, and automation to strengthen reliable data delivery for customers from Canada.
Senior Data QA Engineer Python SQL in Ottawa employer: Jobgether
EverPro is an exceptional employer that prioritizes employee growth and well-being, offering a fully remote work environment within Canada, with the added flexibility of using the Toronto office. Our culture fosters collaboration and innovation, providing competitive compensation and comprehensive wellness benefits, making it an ideal place for talented engineers to thrive and contribute to the success of our widely used invoicing platform.
