Senior Data Engineer - Remote

Improve the lives of others while Caring. Connecting. Growing together.

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.

Optum Government Solutions (OGS) partners with federal and state agencies to modernize health and human services programs through data, analytics, and technology. OGS supports large scale Medicaid Enterprise Data Warehouse (EDW), analytics, and federal reporting programs that enable program integrity, regulatory compliance, and data driven decision making for state agencies.

Optum is seeking a hands on Senior Data Engineer (ETL / Python Developer) to support the Enterprise Data Warehouse (EDW) and Analytics Program. This role plays a critical part in designing, developing, and maintaining scalable data ingestion and transformation pipelines that support Medicaid analytics, federal reporting, and enterprise decision support.

The ideal candidate brings solid ETL and Python engineering expertise, Teradata experience as well as experience working with large healthcare datasets, and the ability to operate effectively in a regulated, audit sensitive environment. This is a delivery focused role requiring close collaboration with architects, analysts, QA, PMs, SMEs, developers, and reporting BI teams across both legacy and cloud based platforms.

You’ll enjoy 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.

• Design, develop, and maintain enterprise ETL pipelines using Azure Data Factory (ADF), Informatica Power Center, and Python based frameworks
• Build and optimize scalable data processing solutions using Python, Spark, and Databricks
• Support Medicaid analytics and federal reporting initiatives (e.g., T MSIS, PERM, MARS, Quality of Care)
• Develop robust data validation, reconciliation, and audit traceable data pipelines
• Write and optimize SQL and stored procedures across relational platforms such as Snowflake, Oracle, and SQL Server
• Participate in cloud migration and modernization initiatives within Azure based architectures
• Collaborate with analysts, QA, and reporting teams to ensure data quality, accuracy, and timeliness
• Follow data engineering best practices for performance, reliability, reusability, and security
• Support production operations, incident resolution, and root cause analysis
• Participate in code reviews, source control, and CI/CD processes using Azure Dev Ops and Git Hub

• 5+ years of data engineering experience with a focus on enterprise data warehousing
• 5+ years of hands on ETL development using Informatica Power Center, Azure Data Factory, or similar tools
• 5+ years of Python development for data engineering and automation
• 5+ years of Teradata experience
• 3+ years of experience with Spark based processing frameworks (Databricks or equivalent)
• Solid SQL expertise and experience with relational databases (such as Snowflake, Oracle, SQL Server)
• Experience with source control and Dev Ops practices (Azure Dev Ops, Git Hub, CI/CD)
• Proven solid analytical, problem solving, and troubleshooting skills
• Ability to travel periodically based on project or customer needs

• Azure certifications related to data engineering or analytics
• Experience supporting State Medicaid EDW or MMIS analytics environments
• Healthcare or public sector analytics experience (Medicaid / Medicare preferred)
• Data modeling experience in enterprise data warehouse environments
• Scripting experience (Power Shell, Bash) for automation and orchestration
• Experience designing or consuming APIs (REST) within data platforms
• Familiarity with data quality frameworks,…