Join Optum, a global leader in health technology, and contribute to improving health outcomes by connecting people with essential care, pharmacy benefits, data, and resources. We foster an inclusive culture with talented colleagues, comprehensive benefits, and ample career development opportunities. Advance global health optimization and make a significant impact on the communities we serve. Embrace our mission: Caring. Connecting. Growing together.

This role is part of the Technology category.

Design and implement robust ETL/ELT solutions using Azure Databricks, LakeBase, and Spark. Develop and deploy large-scale data pipelines that power machine learning algorithms, insights, business intelligence, reporting, and new data products. Optimize and manage modern data pipelines for analytics, ML features, and predictive modeling, integrating data from diverse sources and formats. Write advanced SQL with a focus on performance tuning. Build AI-driven solutions for business needs and process automation, while identifying opportunities to enhance data reliability and system efficiency. Contribute to the architectural evolution of data engineering patterns and platforms, establishing best practices. Mentor junior data engineers and guide them in leveraging cloud data platforms. Ensure adherence to all company policies and directives.

A minimum of 3 years of experience in data engineering, data integration, data modeling, data architecture, and ETL/ELT processes is required, focusing on delivering high-quality data and analytics solutions. Proficiency in Python and API design/lifecycle management (GraphQL, REST) is essential. Experience with Redis-backed state management and event-driven processing, Apache Spark (PySpark/Spark SQL), and building/deploying cloud solutions on Azure Databricks with UC, Snowflake, Functions, and Service Bus is necessary. Strong SQL skills, including complex schema design and query performance optimization, are critical. Experience building LLM integrations for business automation and familiarity with DevOps automation using Terraform, as well as CI/CD processes and tools like GitHub Actions, GIT, Artifactory, and Sonar, are also required.