Senior Software Engineer

UnitedHealth Group•Wausau, WI

7d•$91,700 - $163,700•Remote

About The Position

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. Position Summary We are seeking a Sr. Software Engineer to join our OPTUM UMR clinical technology team as an ETL Developer. In this role, you will play a critical part in the end-to-end (E2E) solution design, code development, automated testing, deployment, and ongoing production support to resolve complex system issues. This position is ideal for an engineer who possesses a strong backend data background combined with extensive experience in resolving database issues and providing high-level production support. Working within our clinical reporting platform ecosystem, you will design robust clinical systems, resolve production issues, and drive the adoption of approved AI tools throughout all phases of the Software Development Life Cycle (SDLC) to deliver high-quality, automated workflows safely and responsibly.

Requirements

6+ years of software engineering experience with a strong focus on SQL, Oracle databases, PL/SQL development, and Unix Scripting
5+ years of experience providing production operational support and resolving issues for high-availability enterprise systems
3+ years of experience building, integrating, or deploying applications utilizing AIML solutions, Snowflake, APIs, including AI‑driven automation or AI personas
3+ year’s experience with GitHub, CI/CD pipelines, code reviews, and DevOps best practices
3+ year’s experience with Kafka for event‑driven or streaming architectures
3+ years of data engineering experience with Snowflake and relational databases
2+ years prior experience or hands-on knowledge working with Apache Airflow and TWSd (Tivoli Workload Scheduler) batch jobs

Nice To Haves

Bachelors degree or higher in Computer Science, Engineering, or a related technology field
Experience working in the healthcare industry, specifically with Clinical systems and reporting platforms
Experience with Agile, Scrum, and Kanban principles and associated tools (e.g., Rally, Jira)
Experience implementing modern automated testing, CI/CD pipeline structures (e.g., Jenkins, GitLab), and version control best practices (e.g., Git)
Experience building and supporting RESTful APIs and distributed systems
Proficiency with Java, .NET, React UI and modern front‑end development practices
Proven ability to operate and adapt in a fast-paced, quickly changing environment while driving technological innovation
Excellent time management, communication, and presentation skills, with a track record of building relationships across cross-functional teams

Responsibilities

Analyze business requirements to design, develop, and deliver E2E software and data integration solutions for Clinical Datawarehouse and Reporting Platform systems.
Resolve complex technical issues and provide comprehensive production support to maintain system availability, stability, and optimal clinical application performance.
Drive the adoption and integration of approved AI tools throughout all phases of the Software Development Life Cycle (SDLC) to streamline requirements analysis, design, code development, automated testing, and deployment.
Design, develop, and deploy AI-powered tools and data-processing features to optimize pipelines, improve data quality, and automate workflows with an emphasis on responsible AI usage.
Provide dedicated support for clinical application service availability, stability, and system performance, including supporting production environments off-hours and providing on-call support when needed.
Resolve complex production issues within Service Level Agreements (SLAs) by debugging code, analyzing logs, and performing reverse engineering to determine root causes and implement permanent fixes.
Manage code reviews and migrations through various deployment environments and stages for clinical platform releases.
Establish repeatable processes, software engineering best practices, version control, automated testing, and continuous deployment workflows.
Evaluate emerging technology and AI/ML trends to inform robust, reliable clinical data architecture and strategic platform innovation.