Join Optum, a global leader in healthcare solutions powered by cutting-edge technology. You'll play a crucial role in improving health outcomes by connecting individuals with essential care, pharmacy benefits, data, and resources. Our inclusive culture fosters collaboration with talented peers, offers comprehensive benefits, and provides ample career development opportunities. Be part of a team dedicated to advancing health optimization worldwide. Let's start Caring. Connecting. Growing together.

You will lead data engineering efforts, including designing, coding, testing, and maintaining scalable data pipelines in cloud environments. This involves ingesting and transforming data from diverse sources like APIs, streaming platforms, and databases. You'll also develop reusable patterns to boost team productivity and velocity. Application development in an Agile setting, implementing CI/CD pipelines, and participating in code reviews are key. Operational support, including incident and problem management, is also expected. Serve as a mentor and resource to team members, independently tackling complex challenges.

A Bachelor's degree or equivalent experience is required. You need at least 3 years of experience in designing and implementing Data Warehouses/Data Lakes using platforms like Databricks and Snowflake, along with expertise in data architecture and data modeling. Possess 2+ years of experience with Databricks, Python, Spark, PySpark, SQL, and Azure Data Factory. Additionally, 1+ years of experience with CI/CD tools such as GitHub Actions, Jenkins, cloud-based CI/CD pipelines, GitHub, and both NoSQL and relational databases is necessary.