Associate Data Engineer

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.

Summary As a member of the EVA data engineering team at Optum Technology, you will transform EVA usage data into meaningful analyses and actionable insights. Leveraging Google Cloud Data Fusion and modern data platform capabilities, you will contribute to building and maintaining reliable data pipelines that process usage metrics to support data-driven decision-making across the enterprise. In this remote role, you will collaborate with cross-functional technical teams to design efficient data integration workflows, automate data processing, and leverage modern tools to continuously improve our data assets. You'll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

Transform EVA usage data into structured datasets and meaningful analytical outputs using Google Cloud Data Fusion Assist in designing, building, and maintaining robust data integration workflows and ETL/ELT pipelines Use enterprise-approved AI tools to streamline workflows, automate data engineering tasks, and drive continuous process improvement Assist in designing, developing, and deploying AI-powered data solutions to address complex business challenges with an emphasis on responsible AI usage Evaluate emerging technology trends to inform solution design, pipeline optimization, and strategic innovation Write clean, efficient SQL queries and data transformation scripts to support analytics and operational reporting Monitor daily data processing workflows, troubleshoot pipeline failures, and perform data profiling to ensure data quality and accuracy Document data pipeline workflows, data mapping specifications, and system architectures for team reference You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

High School Diploma/GED 1+ years of experience in data engineering, data analysis, or software development 1+ years of experience working with relational databases and writing SQL queries 1+ years of experience with programming or scripting languages (e.g., Python, Scala, or Java) for data processing Foundational knowledge of ETL/ELT pipeline concepts, data transformation techniques, and data warehousing principles Willingness and ability to learn and build data pipelines using Google Cloud Data Fusion (prior experience with Google Cloud Data Fusion is not required) Demonstrated ability to analyze, profile, and troubleshoot data quality or pipeline performance issues Preferred Qualifications: Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field Prior experience with or exposure to Google Cloud Platform (GCP) services, including Google Cloud Data Fusion or BigQuery Experience or familiarity with utilizing AI-assisted development tools to optimize daily workflows and data pipeline creation Exposure to cloud data platform architectures and cloud-native data integration tools Knowledge of workflow orchestration tools (e.g., Airflow) or big data processing frameworks Familiarity with DevOps principles, CI/CD deployment pipelines, and version control tools (e.g., Git) *All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter