> Markdown version of [/jobs/ext/4275597-sr-data-engineer](https://www.wearedevelopers.com/jobs/ext/4275597-sr-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Data Engineer - **Company:** Optum, Inc - **Location:** Eden Prairie, MN, United States (Remote available) - **Experience:** Expert - **Salary:** $91,700.0 - $163,700.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, ARM Architecture, Microsoft Azure, Health Informatics, Clinical Data Repository, Data Validation, Information Engineering, Data Governance, Data Infrastructure, Data Systems, Data Warehousing, Healthcare Effectiveness Data and Information Set, Python (Programming Language), Machine Learning, Natural Language Processing, DataOps, Software Engineering, SQL Databases, Automated Data Processing (ADP), Fast Healthcare Interoperability Resources, Snowflake, Information Technology, Machine Learning Operations, Data Pipelines, Docker, Jenkins - **Published:** October 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=21f0317152441f3f ## About the Role * 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 Preferred Qualifications * 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., dQMs, FHIR, Quality Data Model) * Experience with cloud orchestration tools and CI/CD pipelines (e.g., Airflow, Azure DevOps, Jenkins, Docker) * All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy. ## Description 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/DataOps 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.