Sr. Data Engineer; Hybrid In-Office​/Remote

Optum Insight is improving the flow of health data and information to create a more connected system. We remove friction and drive alignment between care providers and payers, and ultimately consumers. Our deep expertise in the industry and innovative technology empower us to help organizations reduce costs while improving risk management, quality and revenue growth. Ready to help us deliver results that improve lives?

Join us to start Caring. Connecting. Growing together.

As a Senior Data Engineer on the Optum Data Management team, this role is responsible for designing, building, and operating scalable, metadata driven data pipelines supporting the Arkansas Medicaid Decision Support System (DSS). The position focuses on developing and optimizing ETL/ELT workflows using Azure Data Factory, Snowflake SQL, and supporting technologies to enable reliable ingestion, integration, and delivery of State Medicaid and CMS data.

The Senior Data Engineer leads efforts to resolve data quality and performance issues, supports automated inbound and outbound data extracts for intrastate agencies, and collaborates directly with state partners to implement new file based and system integrations based on detailed technical specifications.

This role requires SQL proficiency, deep understanding of enterprise data warehousing patterns, and the ability to operate independently while contributing to complex, regulated data environments.

You'llenjoy the flexibility to work remotely
* from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

• Collaborate closely with product owners, business users, and stakeholders to translate data product and reporting requirements into scalable, reliable data engineering solutions, incorporating feedback iteratively throughout the delivery lifecycle
• Design, develop, and maintain end to end data pipelines across staging, integration, and consumption layers, leveraging Azure Data Factory, Snowflake SQL, and metadata driven frameworks
• Develop and optimize high performance SQL queries, views, and stored procedures to support analytics, reporting, and outbound data extracts, and provide guidance to analytics team members on effective and cost efficient usage
• Architect, Develop and support inbound and outbound data integration processes including batch file ingestion, automated extracts, and scheduled deliveries to internal consumers, state partners, and external agencies
• Develop and Maintain Go-Anywhere workflows and monitors for Inbound and outbound file transfers
• Partner with internal stakeholders to understand business objectives, regulatory needs, and study requirements, and identify appropriate technical solutions, integration patterns, and data models that balance performance, scalability, and maintainability
• Serve as a technical subject matter expert and mentor, providing training, design guidance, and code reviews for associates on data engineering best practices, Snowflake optimization, and ADF pipeline design
• Author and maintain detailed technical documentation, including data mappings, record layouts, file specifications, interface contracts, workflow diagrams, and operational runbooks for data loads and extracts
• Continuously evaluate and improve data quality, reconciliation controls, monitoring, and operational efficiencies across analytic and DSS data processes
• Establish and maintain partnerships with customers, data senders, and data consumers, acting as a subject matter expert for healthcare data domains
• Collaborate with business and technical partners to support data acquisition initiatives, including onboarding new data sources, developing business justifications, and executing secure, compliant data transfers
• Communicate complex technical concepts clearly through written documentation, presentations, and discussions with audiences ranging from technical teams to senior leadership
• Foster a collaborative, inclusive environment that promotes knowledge sharing, continuous improvement, and professional development across…