Job Description Insight Global is partnering with a Healthcare start-up in the value-based primary care space who is looking for a Sr. QA Engineer to join their team, sitting remotely. Position Summary The QA Engineer validates the functionality, accuracy, and reliability of AI-enabled applications and Snowflake-driven data workflows. This role blends manual testing with AI-assisted test creation and focuses heavily on integration testing across ingestion, transformation, and output layers. We're targeting an hourly rate of $50-55/HR. This will b a 6-month contract with the potential ability to convert to an FTE. Key Responsibilities

• Perform manual functional testing for applications, agents, and workflows
• Use AI tools (Cortex/Coco) to generate and refine test cases
• Conduct integration testing across data pipelines (source → ingestion → transformation → output)
• Validate data accuracy between sandbox and production environments
• Identify defects, document issues, and collaborate with engineering teams to resolve them
• Ensure quality standards and prevent regressions or tech debt
• Support both application and data engineering teams We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day.

We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements Required Experience

• 7+ years in manual QA
• Strong experience with integration testing and data validation (manual testing)
• Familiarity with AI-assisted testing or LLM-based test generation
• Strong analytical skills and attention to detail
• Ability to work across multiple engineering teams
• Healthcare or value-based care experience
• Background in accounting, analytics, or other detail-heavy disciplines
• Experience testing Snowflake-based workflows