Senior Quality Engineer - Data Pipelines & AI (Remote)

Optum; Cleveland (OH); Remote; USD 92,000 - 164,000; Full time

Job summary

Optum is seeking a Senior Quality Engineer to own data-focused testing across RxMax on Azure Hyperscale and Databricks. You will validate complex data workflows, ensure data integrity, and drive test automation with AI tools in a collaborative, cross-functional environment.

You will design comprehensive test strategies, write advanced SQL, and mentor teams while focusing on scalable, reliable healthcare technology solutions. Telecommuting from anywhere in the U.S. is supported.

Qualifications

• 4+ years of experience in Quality Engineering, Data Engineering, or related software engineering
• 4+ years of hands-on experience performing complex data analysis and test verification
• 2+ years of experience querying and testing data pipelines in high-availability relational or cloud databases (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

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 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

Skills

Quality engineering

Data analysis

SQL

Azure

Data pipelines

Education

Bachelor's degree in Computer Science / IT / Engineering

Tools

Databricks

Apache Spark

Python

Job description

Optum is seeking a Senior Quality Engineer to own data-focused testing across RxMax on Azure Hyperscale and Databricks. You will validate complex data workflows, ensure data integrity, and drive test automation with AI tools in a collaborative, cross-functional environment.

You will design comprehensive test strategies, write advanced SQL, and mentor teams while focusing on scalable, reliable healthcare technology solutions. Telecommuting from anywhere in the U.S. is supported.