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Insight Global, LLC
INTL - Data QA Tester
Career Insights for Software QA Engineer / Tester
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Scorecard
Based on Arizona data
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What they do
A Software QA Engineer or Tester designs and runs in-depth diagnostic tests to evaluate software and check for problems before new products are marketed. Pilots software and applies tests to check for errors and glitches.
$105,137 / year median in Arizona
-19% projected decline
Job Description
Job Description Our client is seeking a Senior QA Specialist with deep expertise in both front-end and back-end testing to ensure the quality, performance, and reliability of our data-driven applications and platforms. This role requires hands-on experience across Snowflake, Azure, and Selenium, coupled with a strong understanding of ETL pipelines, data validation, and continuous integration environments. Key Responsibilities
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- Design, develop, and execute comprehensive test plans and test cases for data pipelines, APIs, and web applications (front-end and back-end).
- Conduct functional, regression, and performance testing to validate system stability and identify bottlenecks.
- Build and maintain automated test frameworks using Selenium, PyTest, or equivalent tools.
- Validate data transformations and business rules across Databricks and Azure Data Services like ADF .
- Collaborate with developers, data engineers, and business analysts to define quality standards and acceptance criteria.
- Monitor production releases and assist in root cause analysis for defects and performance issues.
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Insight Global's Workforce Privacy Policy:
https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements- 6+ years of experience in Quality Assurance or Software Testing.
- Proven ability to perform front-end testing (UI automation, browser compatibility, usability) using Selenium/WebDriver.
- Strong back-end testing experience
- validating APIs, ETL flows, and database-level checks using Databricks and SQL .
- Hands-on experience with Azure Data Services, including Azure Data Factory and Data Lake.
- Understanding of performance testing tools (JMeter, or similar).
- Familiarity with Agile/Scrum development environments and test management tools ( JIRA , Azure Test Plans).
- Excellent problem-solving skills and attention to detail.
- Exposure to Python-based test automation and Databricks Notebooks.
- Experience with Power BI or other BI validation tools.
- Knowledge of data governance, data quality metrics, and validation frameworks.
- Ability to analyze logs, query large datasets, and support test automation frameworks in a cloud environment.
Benefits
- Dental Insurance