Senior Data Engineer - Remote

Optum is a global organization that delivers care aided by technology to help millions of people live healthier lives. They are seeking a Senior Data Engineer to support the Enterprise Data Warehouse and Analytics Program, focusing on designing, developing, and maintaining data ingestion and transformation pipelines for Medicaid analytics and federal reporting. This role requires collaboration with various teams to ensure data quality and reliability while following best practices in data engineering.

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

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
• 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
• All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy