Optum, a global leader in healthcare technology, seeks a Senior Data Engineering Analyst to drive impactful improvements in health outcomes. Join a culture of inclusion and collaboration, working alongside talented peers to advance health optimization worldwide. This role offers comprehensive benefits and career development opportunities as part of an organization dedicated to Caring, Connecting, and Growing together.

Design and maintain scalable data pipelines using Databricks (Spark/PySpark). Orchestrate and monitor workflows with Apache Airflow for efficient processing. Build and optimize ELT pipelines in Snowflake, ensuring peak performance and reliability. Develop production-grade Python code for data transformations and integrations. Design, build, and host APIs and data services using modern Python frameworks, deploying them via Azure-native services. Implement robust data quality checks, logging, and alerting for production systems. Collaborate with cross-functional teams and participate in architecture design and code reviews.

Requires a B.Tech., MCA, or Graduation with 4+ years of experience. Must have solid experience with Databricks (Spark/PySpark) in production, building REST APIs with Python, and working with Microsoft Azure cloud best practices. Essential skills include deep knowledge of Snowflake, data warehousing, ELT patterns, modern cloud data architecture, and Apache Airflow for workflow orchestration. Advanced Python programming for data engineering and API development is crucial. Demonstrated ability to independently design and deliver end-to-end data engineering solutions is expected.