Software Engineering Lead - Azure Databricks, Spark, Scala, Cloud

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, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities:

• Build distributed, fault-tolerant data platforms using cloud environments (Azure, GCP, Databricks, Snowflake, MS Fabric)
• Develop, test, deploy and schedule complex solutions to integrate multiple data asset across the organization
• Build infrastructure and tooling to support data platform hosting, DataOps and Data Telemetry
• Collaborate with cross-functional teams to align technical solutions with business goals
• Contribute to the strategic direction of the platform team, including roadmap planning and goal setting
• Comply with standards and guidelines related to the design, construction, testing and deployment activities as established by departmental and organizational standards
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

• Bachelor's degree in CS, AI, or related field
• 7+ years of professional software engineering experience, with hands-on coding in Python, Java, or similar languages with a focus on building scalable, maintainable data systems
• 3+ years of experience building data pipelines using Spark, SQL , Azure Data factory, Databricks, Snowflake
• 3+ years of experience designing and building enterprise data solutions with hands-on experience with Infrastructure as Code tools like Terraform or CloudFormation
• 2+ years of designing, building Agentic AI/ML solutions
• 2+ years of implementing DataOps & Data Governance practices
• Experience working with Microsoft Fabric and associated data services
• Experience with healthcare domain