Senior Data Engineer - Remote
About The Position
Optum is a global organization dedicated to improving health outcomes through technology, care, pharmacy benefits, data, and resources. Optum Government Solutions (OGS) collaborates with federal and state agencies to modernize health and human services programs using data, analytics, and technology. This includes supporting large-scale Medicaid Enterprise Data Warehouse (EDW), analytics, and federal reporting programs to ensure 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 contribute to the Enterprise Data Warehouse (EDW) and Analytics Program. This role is critical for designing, developing, and maintaining scalable data ingestion and transformation pipelines that support Medicaid analytics, federal reporting, and enterprise decision support. The ideal candidate should possess strong ETL and Python engineering expertise, experience with large healthcare datasets, and the ability to operate effectively in a regulated, audit-sensitive environment. This is a delivery-focused position requiring close collaboration with architects, analysts, QA, PMs, SMEs, developers, and reporting BI teams across both legacy and cloud-based platforms.
Requirements
- 5+ years of data engineering experience with a focus on enterprise data warehousing
- 5+ years of hands on ETL development using Informatica PowerCenter, Azure Data Factory, or similar tools
- 5+ years of Python development for data engineering and automation
- 3+ years of experience with Spark based processing frameworks (Databricks or equivalent)
- Solid SQL expertise and experience with relational databases (such as Teradata, Snowflake, Oracle, SQL Server)
- Experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD)
- Proven solid analytical, problem solving, and troubleshooting skills
- Periodic travel may be required based on project or customer needs
Nice To Haves
- Bachelor’s degree or higher in Computer Science, Engineering, Analytics, or a related field
- 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 (PowerShell, Bash) for automation and orchestration
- Experience designing or consuming APIs (REST) within data platforms
- Familiarity with data quality frameworks, reconciliation, and audit support
Responsibilities
- Design, develop, and maintain enterprise ETL pipelines using Azure Data Factory (ADF), Informatica PowerCenter, 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 DevOps and GitHub
Benefits
- comprehensive benefits package
- incentive and recognition programs
- equity stock purchase
- 401k contribution
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
