Senior Quality Engineer

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, and data they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits, and career development opportunities.

Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.

Join the Rebates Modernization team supporting Optum Rx Technology as a Senior Quality Engineer. In this role, you will play a pivotal part in our technological transformation, taking ownership of application scalability, reliability, and service level objectives. You will ensure the stability and data integrity of our modern compute and data platforms on Azure Hyperscale and Databricks, thoroughly validating complex system functionality and data pipelines behind the RxMax application.

This hands‑on position offers the opportunity to partner closely with engineering and business stakeholders to solve complex data challenges, elevate test automation standards, and embed modern, approved AI tools into everyday engineering workflows to deliver reliable, high‑value pharmacy technology solutions.

You will enjoy the flexibility to telecommute
* from anywhere within the U.S. as you take on some tough challenges.

• Design, build, and execute comprehensive test strategies and test cases across the full software development lifecycle to validate complex data workflows
• Ensure the stability, data integrity, and performance of large-scale data and compute platforms hosted on Azure Hyperscale and Databricks
• Develop deep subject matter expertise in the RxMax application, troubleshooting complex issues and providing technical guidance to engineering and business partners
• Construct and execute complex SQL queries against billion‑row datasets to analyze data structures, verify business logic, and validate backend pipelines
• Use enterprise‑approved AI tools to streamline quality workflows, automate routine testing tasks, and drive continuous process improvement
• Apply responsible AI practices by critically reviewing and validating AI‑assisted code, scripts, and analytical outputs for accuracy and reliability prior to use
• Partner with Agile scrum teams during backlog refinement to define clear functional and non‑functional acceptance criteria aligned with business value
• Champion quality engineering principles and mentor cross‑functional team members on modern testing practices and automation opportunities
• Identify performance bottlenecks and system defects early, communicating enterprise‑wide impacts and driving continuous quality improvements
• Leverage enterprise‑approved AI tools to streamline workflows, automate tasks, and drive continuous improvement

You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

• 4+ years of experience in Quality Engineering, Data Engineering, or a related software engineering discipline
• 4+ years of hands‑on experience performing complex data analysis and test verification
• 2+ years of experience querying and testing data pipelines associated with high‑availability relational or cloud database systems (such as Azure Hyperscale)
• 2+ years of experience working in Microsoft Azure cloud environments
• 2+ years of experience writing advanced SQL queries for high‑volume data validation