[Hiring] Senior Data Engineer @UnitedHealth Group

Role Description

As a Senior Data Engineer on the PI CAP Data Engineering team within Optum Insight based in Eden Prairie, MN, you will join an innovative technology group responsible for architecting, building, and deploying enterprise-scale cloud data solutions and commercial healthcare analytics platforms. In this role, you will leverage Azure cloud services, Big Data technologies (such as Databricks, Snowflake, Kafka, and Azure Data Factory), and modern AI productivity tools to design robust data solutions, automate workflows, and accelerate the delivery of high-quality health data platforms that simplify and enhance clinical, administrative, and financial processes.

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

• Design, build, and deploy enterprise cloud data solutions using Big Data technologies, including Azure Data Factory, Databricks, Snowflake, and Kafka
• Leverage enterprise-approved AI tools and modern AI productivity frameworks to streamline software product development workflows, automate tasks, and ensure timely, high-quality deliverables
• Architect, optimize, and maintain scalable data warehousing services, data pipelines, and cloud data architecture on Azure for healthcare platforms
• Evaluate emerging cloud technologies, Big Data ecosystem tools, and AI capabilities to inform solution design, platform architecture, and strategic innovation
• Collaborate with cross-functional product and engineering teams to translate complex healthcare requirements into robust, commercially available software products
• Establish and enforce data governance, automated testing, security controls, and quality standards across cloud data environments
• Monitor, troubleshoot, and optimize complex cloud query performance, Big Data processing pipelines, and system uptime

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 6+ years of software product development experience working on commercially available software or healthcare platforms
• 3+ years of experience working with Big Data ecosystem technologies (e.g., Databricks, Snowflake or Kafka)
• 3+ years of experience designing and building enterprise data solutions on Azure
• 1+ years of experience using AI productivity tools to accelerate engineering workflows and deliver quality products

Requirements

• Subject matter expertise in Azure cloud services, Azure Data warehousing, and cloud data architecture
• Experience with Terraform, CICD, Java, GraphQL API & springboot
• Experience with Artificial Intelligence Development Life Cycle (AIDLC) methodologies and AI/ML model integration
• Experience developing, fine-tuning, or integrating Generative AI models, Large Language Models (LLMs), or retrieval-augmented generation (RAG) data pipelines
• Proficiency in programming languages commonly used in cloud and Big Data engineering (e.g., Python, Scala, SQL, or Java)
• Experience with MLOps frameworks, automated deployment pipelines (CI/CD), and infrastructure as code on Azure

Benefits

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