Senior Data Engineer (Analytics)

Optum delivers technology-enabled care and health services that help millions of people live healthier lives. The Senior Data Engineer will design, develop, and maintain scalable data pipelines and AI-powered solutions while supporting data platforms, KTLO activities, cloud modernization, security, and healthcare data privacy requirements.

Responsibilities:

• Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI
• Design, develop, and maintain scalable data pipelines using Python, PySpark, SQL, and Databricks
• Build and support batch and streaming data solutions using Kafka and Azure Data Factory
• Support KTLO activities including production support, incident resolution, vulnerability remediation, platform upgrades, and system reliability
• Implement automation and AI-enabled solutions to improve engineering efficiency and operational processes
• Optimize data models, queries, and large-scale data processing workloads
• Collaborate with business and technology partners to deliver high-quality data solutions
• Ensure compliance with security, governance, and healthcare data privacy requirements
• Contribute to CI/CD, monitoring, and cloud modernization initiatives
• Apply and promote data warehousing, data modeling, and database design best practices
• Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI

Requirements:

• 5+ years of experience in Data Engineering, Software Engineering, or a related field
• 3+ years of experience with Python, SQL, Spark/PySpark, and Databricks
• 3+ years of experience with data warehousing, dimensional modeling, and database design
• 2+ years of experience with Azure Data Factory, Azure Data Lake, or related cloud data services
• 2+ years of experience with Apache Kafka or streaming technologies
• 2+ years of production support and KTLO experience, including troubleshooting and platform maintenance
• 1+ years of experience building data pipelines using Databricks Medallion Architecture
• 1+ years of Experience with CI/CD, and automation practices
• Bachelor's degree in Computer Science, Information Systems, or related field
• Experience with Azure cloud technologies
• Experience with Airflow for workflow orchestration
• Experience with Docker, Kubernetes, Terraform, or Infrastructure as Code
• Experience with Power BI, Tableau, or Looker
• Experience working with healthcare data and HIPAA-regulated environments
• Experience with relational and NoSQL databases such as PostgreSQL, Cosmos DB, MongoDB, or Snowflake
• Strong analytical, problem-solving, and communication skills