[Hiring] Senior Quality Engineer @UnitedHealth Group

Role Description

Join the Rebates Modernization team supporting OptumRx 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.

Primary Responsibilities:

• 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.

Qualifications

• 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.

Requirements

• Bachelor’s or advanced degree in Computer Science, Information Technology, Engineering, or a related field.
• Experience with Databricks, Apache Spark, or modern streaming data platforms.
• Proficiency in programming or scripting languages such as Python, Java, or JavaScript.
• Experience or familiarity leveraging modern AI tools and GenAI capabilities to augment data analysis, test design, or workflow efficiency.
• Previous experience in healthcare, pharmacy benefit management (PBM), or health tech sector.
• Proven track record of analyzing test results, identifying defects, and resolving performance bottlenecks in distributed, cross-functional teams.

Benefits

• Comprehensive benefits package.
• Incentive and recognition programs.
• Equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements).