Sr Data Engineer

Improve the lives of others while Caring. Connecting. Growing together.

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.

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

As a Senior Engineer specializing in Healthcare Effectiveness Data and Information Set (HEDIS) measures and clinical quality data, you will lead the architecture, transformation, and optimization of clinical data solutions using Snowflake and AI/ML technologies. You will partner with business analysts, clinical quality leaders, and data science teams to build scalable, AI-enhanced data pipelines that streamline HEDIS reporting, automated chart abstraction, quality measure analytics, and care gap identification.

This role combines deep healthcare domain expertise in HEDIS/Stars with modern cloud data platform engineering and AI capabilities.

• Design, build, and maintain scalable data pipelines in Snowflake to ingest, transform, and manage complex clinical and claims data for HEDIS measure processing
• Integrate Artificial Intelligence and Machine Learning models (such as natural language processing and predictive analytics) into Snowflake data workflows to automate clinical data extraction and care gap identification
• Optimize Snowflake queries, data models, snowpipes, and data warehouse performance for large-scale healthcare data analytics
• Collaborate with clinical quality, Stars, and reporting teams to translate NCQA/HEDIS specification requirements into technical logic and automated data workflows
• Implement robust data quality checks, data governance, security protocols, and HIPAA-compliant data practices across all Snowflake and AI pipelines
• Mentor junior engineers and collaborate with cross-functional technical teams to continuously refine technical architecture and MLOps/Data Ops practices
• Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI

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

• 6+ years of experience in data engineering, software engineering, or data warehouse architecture within the healthcare industry
• 3+ years of hands‑on experience designing, developing, and optimizing data solutions on Snowflake (including SQL, Snowpark, or data modeling)
• 3+ years of experience developing in Python, SQL, or Scala for automated data processing
• 2+ years of experience integrating Artificial Intelligence, Machine Learning, or Natural Language Processing (NLP) models into data pipelines

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Healthcare Informatics, or a related technical field
• 3+ years of experience with Healthcare Effectiveness Data and Information Set (HEDIS) measures, clinical quality data, or medical claims processing
• Experience with Snowpark Python/Java or Cortex AI capabilities within Snowflake
• Experience with NCQA HEDIS digital measure specifications (e.g.,…