Join Optum, a global healthcare organization dedicated to improving lives through technology. We are seeking a Senior Data Engineering Lead to contribute to our mission of advancing health optimization. As part of our inclusive culture, you'll collaborate with talented peers, access comprehensive benefits, and find ample career development opportunities. Make a tangible impact on communities by connecting people with the care, resources, and data they need to thrive.

This role is central to optimizing health outcomes by ensuring seamless access to vital health information and services. Become an integral part of a team that values innovation and collaboration. We are committed to fostering an environment where you can grow and contribute to a healthier future for all.

Engage actively in the scrum process, delivering features and stories on schedule. Collaborate effectively with team members, architects, and product stakeholders to grasp scope and design requirements. Provide necessary product support as identified by the team. Develop a deep understanding of product architecture and features, contributing innovative improvement ideas and Proofs of Concepts. Adhere to all company policies and directives, including those concerning work location, team assignments, and flexible work arrangements. Ensure timely and quality delivery of data engineering tasks within an agile framework.

Possess an undergraduate degree or equivalent practical experience. Demonstrate deep expertise in Data Analysis, including source data analysis, data profiling, and mapping. Showcase significant experience in building robust data pipelines using Azure Data Factory and Azure Databricks. Proven track record with large-scale data warehouse implementations. Experience with DevOps practices, Big Data implementation, Apache Spark, and Azure Cloud. Hands-on experience with large-scale data processing using PySpark within the Azure ecosystem. Proficiency in implementing self-service analytics platforms and ETL frameworks using PySpark on Azure. Experience in data migration from legacy systems to modern cloud-based solutions. Strong command of programming languages like Python and PySpark. Expertise in cloud technologies including Azure services (ADF, Databricks, WebApp, Key Vault, SQL Server, Function App, Logic App, Synapse, Azure Machine Learning, DevOps). Solid proficiency in SQL and the ability to write complex queries. Exceptional problem-solving and communication skills. Ability to quickly learn and adapt to new data technologies are essential for this role.