Software Engineer

Optum is hiring a Software Engineer to design, build, and maintain data-intensive applications and scalable infrastructure. The role develops data pipelines, cloud-based backend services, and AI-powered solutions while collaborating across teams to deliver secure, high-quality enterprise platforms.

Responsibilities

• Design, develop, test, and maintain data-intensive applications using Snowflake, SQL, Java, Python, Spark/Databricks, and AWS/Azure cloud technologies
• Build and maintain scalable data pipelines to ingest, transform, validate, and publish data across enterprise platforms
• Develop and support Spark and Databricks jobs for large-scale data processing and analytics workloads
• Build, schedule, monitor, and troubleshoot automated data workflows using Airflow or similar orchestration tools
• Design, develop, and deploy backend services, APIs, and AI-powered solutions to address complex business challenges with an emphasis on responsible AI use
• Utilize enterprise-approved AI tools and agentic coding assistance (e.g., GitHub Copilot, Claude) to accelerate software creation, automate tasks, and streamline development workflows
• Manage infrastructure using Infrastructure as Code (IaC) tools like Terraform on public cloud platforms
• Collaborate with product owners, architects, and cross-functional teams to deliver secure, scalable, and high-quality solutions against agile roadmaps
• Evaluate emerging technology trends and AI capabilities to inform solution design, architectural standards, and strategic engineering innovation
• Support UI integration needs, validate API responses, and ensure adherence to rigorous design, security, and coding standards

Preferred

• 4+ years of experience in Software Development, Data Engineering, or AI/ML engineering (or Bachelor's degree in Computer Science, Engineering, Data Science, or related field with equivalent experience)
• Healthcare industry experience
• Strong understanding of data modeling principles, including conceptual, logical, and physical models
• Comprehensive knowledge of data warehousing concepts, data lakehouse patterns, and data engineering best practices
• Demonstrated familiarity with agentic frameworks and Model Context Protocol (MCP)
• Experience with AI/ML concepts, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and enterprise productivity tools
• Working knowledge of one or more high-level programming languages such as C#, Java, JavaScript, or Python
• Strong analytical, quantitative, problem-solving, and critical thinking skills
• Strong written and verbal communication skills with experience presenting to diverse technical and business stakeholders
• AI/ML Engineering
• Healthcare Industry Experience
• Data Modeling
• Data Warehousing
• Data Lakehouse Patterns
• Data Engineering Best Practices
• Agentic Frameworks
• Model Context Protocol (MCP)
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Enterprise Productivity Tools
• C#
• Java
• JavaScript
• Analytical Skills
• Quantitative Skills
• Problem-Solving
• Critical Thinking
• Written Communication
• Verbal Communication
• Presentation Skills
• Stakeholder Communication

Benefits

• Comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution
• Telecommute from anywhere within the U.S.
• Career development opportunities

Company

• Health care services and prescription management
• Eden Prairie, Minnesota, USA
• https://nm.optum.com/
• Founded in 1985
• 10001+ employees

Qualifications

• 4+ years of Software development, Data engineering, or AI/ML experience
• 3+ years of hands-on experience building and deploying modern cloud infrastructure (AWS, Azure, or GCP)
• 3+ years of hands-on experience with Databricks and Apache Spark using Scala or Python
• 3+ years of experience with version control systems (e.g., Git) and delivering production-quality, fully tested, and maintainable code
• 1+ years of experience using AI-assisted developer and coding tools to accelerate software delivery and technical documentation
• 1+ years of experience managing cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform
• 4+ years of experience in Software Development, Data Engineering, or AI/ML engineering (or Bachelor's degree in Computer Science, Engineering, Data Science, or related field with equivalent experience)
• Healthcare industry experience
• Strong understanding of data modeling principles, including conceptual, logical, and physical models
• Comprehensive knowledge of data warehousing concepts, data lakehouse patterns, and data engineering best practices
• Demonstrated familiarity with agentic frameworks and Model Context Protocol (MCP)
• Experience with AI/ML concepts, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and enterprise productivity tools
• Working knowledge of one or more high-level programming languages such as C#, Java, JavaScript, or Python
• Strong analytical, quantitative, problem-solving, and critical thinking skills
• Strong written and verbal communication skills with experience presenting to diverse technical and business stakeholders

Required skills

• Cloud Infrastructure AWS, Cloud Infrastructure Azure, Cloud Infrastructure GCP, Databricks, Apache Spark, Scala, Python, Git, Terraform, Data Modeling, Data Warehousing and Data Lakehouse, Model Context Protocol (MCP), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG)

Preferred skills

• Healthcare industry experience

Experience

• 4+ years