Software Engineer, AI Engineer (Applied​/Software), Data Engineering

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.

As a
Software Engineer
on our engineering team, you will design, build, and maintain high-performance, data-intensive applications and scalable infrastructure. You will work in an agile environment collaborating with architects, product owners, and business stakeholders to drive innovation across enterprise platforms. In this role, you will leverage modern cloud architectures, data pipelines, and AI-assisted engineering tools to build robust applications, optimize delivery pipelines, and solve complex business challenges with a focus on code quality, security, and scalability.

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

• 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., Git Hub 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

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.

• 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…