> Markdown version of [/jobs/ext/4300441-associate-data-engineer](https://www.wearedevelopers.com/jobs/ext/4300441-associate-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Associate Data Engineer - **Company:** Optum, Inc - **Location:** Eden Prairie, MN, United States (Remote available) - **Salary:** $60,200.0 - $107,400.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Batch Processing, Big Data, Information Engineering, Data Governance, Extract Transform Load (ETL), Database Queries, Cloud Services, SQL Databases, Large Language Models, Prompt Engineering, Apache Spark, Generative AI, Information Technology, Real Time Data, Apache Kafka, Data Management, Data Pipelines - **Published:** October 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e9ee2074c3e92f81 ## About the Role * 2+ years of experience with data engineering, database query using SQL, and ETL tools * 2+ years of experience with big data processing technologies (e.g., Apache Spark, Apache Kafka) * 1+ years of experience analyzing data using cloud-based tools (e.g., AWS Athena) * 1+ years of exposure to AI tools, generative AI tools, or prompt engineering in daily technical workflows * Proven ability to troubleshoot data pipeline issues and collaborate effectively across cross-functional technical teams, * Bachelor's degree in computer science, Data Engineering, Information Technology, or a related field * Experience leveraging enterprise-approved AI tools and Large Language Models (LLMs) to optimize data engineering workflows * Experience working with healthcare data domains (eligibility, pharmacy, or patient records) * Experience establishing data governance, security compliance, and data quality monitoring controls * All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy. ## Description * Assist in the development and maintenance of data pipelines for the Enterprise Individual Mastering Platform (EiMP), which consolidates individual data from multiple sources, including eligibility, pharmacy, and patient data * Support real-time data ingestion using tools like Kafka, as well as batch processing using Spark * Perform data analysis using AWS tools such as Athena to support various business needs * Generate reports and dashboards to provide insights and support decision-making processes * Participate in the monitoring and maintenance of data quality and integrity across various data sources * Assist in resolving data-related issues and discrepancies to ensure accurate and reliable data for the organization * Contribute to the creation and maintenance of documentation for data pipelines, processes, and procedures * Ensure compliance with data governance and security policies * Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver solutions * Provide support for ad hoc data requests and troubleshooting under the supervision of senior team members * Use enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement * Evaluate emerging trends to inform solution design and strategic innovation 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.