Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The Associate Software Engineer will support enterprise data archival initiatives and collaborate with teams to guide data extraction and transformation while applying software engineering best practices.
Responsibilities:
- Support enterprise data archival initiatives by combining hands‑on software development with customer‑facing subject matter expertise
- Partner with application and business teams as a Data Lead to guide data extraction, transformation, and archival into approved enterprise solutions
- Design, enhance, and maintain utilities and tooling streamline the archival process and mitigate operational risk
- Help ensure complete, accurate, and compliant data extraction while maintaining accessibility and adherence to enterprise and legal standards
- Engage with internal teams to understand requirements, provide guidance, and deliver timely, high‑quality support throughout the archival lifecycle
- Apply software engineering best practices to deliver reliable, high‑quality technical solutions
- Foster strong relationships and contribute to team culture by demonstrating curiosity, collaboration, and servant‑leadership-oriented behaviors
- Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI
Requirements:
- Bachelor's Degree in CS or IT related field
- 2+ years of experience in software development using Python
- 1+ years of experience with Unix/Linux environments
- 1+ years of experience with SQL, relational database concepts, and data ETL processes
- Proven ability to engage in customer-facing work with clear communication and strong interpersonal skills
- Experience leveraging AI tools as both a user and a builder to enhance engineering productivity and deliver business value
- Strong problem-solving skills and attention to detail, with the ability to balance technical delivery and customer-focused support responsibilities
- Resilience, adaptability, and a willingness to take ownership in a dynamic environment