Software Engineer - Remote

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Build, enhance, and support Azure data pipelines and data solutions for the Identity Management rebuild and existing application support Develop and support data pipelines using Azure Databricks, Azure Data Factory, PySpark, Python, and Git-based development practices across development, staging, and production environments Troubleshoot data issues, improve pipeline reliability, and contribute to performance tuning and cost optimization activities Support ingestion, transformation, serving, monitoring, and data quality activities for distributed processing workloads while following data governance, privacy, and security expectations Support the build and operationalization of custom AI agents to assist with development, testing, documentation, data validation, monitoring, production support, runbook execution, and data workflow automation Use Databricks Genie, GitHub Copilot, Microsoft 365 Copilot, and other enterprise-approved GenAI tools to accelerate pipeline development, automation, troubleshooting, documentation, analysis, and decision-making workflows Maintain a minimum of 90% weekly usage of approved AI tools and leverage AI tools and agents to enhance coding, documentation, data analysis, testing, and delivery workflows Collaborate with stakeholders, platform engineering, analytics, and application teams to support delivery priorities and communicate risks, dependencies, and progress clearly Stay current with evolving AI capabilities and apply them to improve delivery quality, efficiency, innovation, and responsible engineering practices 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.

5+ years of hands-on data engineering experience building, supporting, and operating data pipelines and data platforms Azure Databricks experience, including pipeline development, job monitoring, workload support, performance tuning, and cost-aware development practices Azure Data Factory experience with pipeline orchestration, scheduling, dependency management, monitoring, and operational support PySpark experience for distributed data processing, transformations, data quality validation, and performance tuning Git experience including CI/CD basics, version control, pull request workflows, branching strategies, and release support Experience supporting performance tuning and cost optimization activities for cloud data pipelines, Databricks workloads, and distributed processing jobs Basic working understanding of data governance, data security, access controls, privacy, and enterprise compliance concepts Baseline proficiency with enterprise-approved AI tools including GitHub Copilot, Microsoft 365 Copilot, Databricks Genie, and other approved GenAI platforms Proficiency in Python for programming, automation, data processing, and scripting Proven good problem-solving skills with the ability to perform root cause analysis, troubleshoot data pipeline issues, and follow reliable engineering practices Proven good communication and collaboration skills, with the ability to share