- Employment type
- Contract
- Experience level
- Senior · 5+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Location requirements
- Country, Ontario, Canada
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available
This job has expired
This position at Insight Global is no longer accepting applications. The original posting remains below for reference.
Expired Oct 9, 2026
Original job posting
Define and implement quality assurance processes, develop automated tests, and identify and mitigate risks. Ensure the quality of technology and data platforms across Azure and Google Cloud Platform environments.
Job details
Role: Quality Engineer Type: 12 Month Contract Location: Fully Remote working EST hours Rate: $40-$45/hr JOB DESCRIPTION Insight Global is seeking an experienced Quality Engineer to join a leading bank as part of their Enterprise Technology and Data team. The successful candidate will be responsible for defining and implementing quality assurance processes, developing automated tests, identifying and mitigating risks, and ensuring the overall quality of their technology and data platforms across multi-cloud environments (Azure and Google Cloud Platform). REQUIRED SKILLS AND EXPERIENCE 5+ years experience in software quality engineering, with at least 3 years of experience in an enterprise data environment Proven experience using python for automated testing Hands-on experience with data validation, transformation, and data pipeline testing in cloud environments, specifically Azure and/or Google Cloud Platform (GCP) Strong understanding of data management, data warehousing, ETL processes, and data integration Familiarity with version control systems (e.g., Git), CI/CD tools (e.g., Jenkins, Azure DevOps), and cloud infrastructure (e.g., Azure, GCP) AI knowledge 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.
What you’ll do
Define and implement quality assurance processes, develop automated tests, and identify and mitigate risks. Ensure the quality of technology and data platforms across Azure and Google Cloud Platform environments.
Requirements
Requires 5+ years of software quality engineering experience, including at least 3 years in an enterprise data environment, and proven Python-based automated testing experience. Candidates should have hands-on cloud data testing experience and knowledge of data management, warehousing, ETL, integration, version control, CI/CD, and AI.
Listed skills
- Automated testing · Preferred
- Python · Preferred
- Data Validation · Preferred
- Microsoft Azure · Preferred
- data management · Preferred
- Git · Preferred
- CI/CD · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Software Quality Engineering
- Automated Testing
- Python
- Data Validation
- Data Transformation
- Data Pipeline Testing
- Azure
- Google Cloud Platform
- Data Management
- Data Warehousing
- ETL
- Data Integration
- Git
- CI/CD
- Jenkins
- Azure DevOps
Job areas
- Technology
- Software
- Data & Analytics
- Finance & Accounting
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