Join Optum, a global leader in health optimization, and contribute to initiatives that directly improve health outcomes. This role focuses on enhancing the efficiency and scalability of analytics generation through advanced technology. You will be part of a team dedicated to innovation and client self-service capabilities.

This position is crucial for a strategic, high-visibility technology initiative. The primary goal is to reduce the cost of analytics generation while significantly improving automation, scalability, and client self-service functionalities. You will be instrumental in shaping modern data engineering solutions and accelerating development operations.

As a Senior Data Engineering Analyst, you will function as a key individual contributor, expertly managing cloud data pipelines and databases. Your responsibilities will include developing robust CI/CD pipelines and leveraging Generative AI tools, such as Copilot and Codex, to accelerate delivery timelines. Effective communication within the team is paramount, alongside strict adherence to all applicable company policies, procedures, and business directives, including those related to work location, assignments, and flexible work arrangements.

Proven experience with Databricks and a strong understanding of DevOps principles for process automation are essential. Proficiency in Azure, Databricks, PySpark, Copilot, Generative AI, GitHub, Power BI, Python, SQL, CI/CD, Automation, and ServiceNow is required. A solid grasp of Databricks, Apache Spark, Azure, SQL, Pyspark, Airflow, Hadoop, UNIX, GitHub, and CI/CD frameworks is also necessary for success in this role.