Optum is currently hiring for the role of Data Engineer – Remote Nationwide. This is a full-time position open to candidates across the United States. With a strong focus on healthcare data analytics and business intelligence, this opportunity is ideal for experienced professionals with a solid background in SQL, Power BI, Tableau, or MicroStrategy. The complete job eligibility, requirements, and application process are outlined below.
UP Next: Cardinal Health is hiring for Data Analyst.
- Company Name: Optum (UnitedHealth Group)
- Website: www.optum.com
- Job Position: Data Engineer – Remote Nationwide
- Location: Eden Prairie, MN (Remote)
- Job Type: Full-Time
- Salary: $59.5K/ yr – $116.6K/ yr
Job Description
As a Data Engineer at Optum, you will play a key role in supporting healthcare operations by developing and interpreting data reports, backend processes, and collaborating across teams. You’ll work with complex datasets to deliver meaningful insights to leadership and improve patient outcomes.
Primary Responsibilities:
- Develop, fine-tune, and deploy AI/ML models to solve complex business problems, ensuring scalability and performance in production environments
- Collaborate with cross-functional teams to integrate AI/ML solutions into existing systems, while continuously monitoring and refining model performance
- 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
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