Join Optum, a global leader dedicated to improving health outcomes through innovative technology. We are seeking a skilled Data Engineering Consultant to contribute to our mission of advancing health optimization worldwide. This role offers a unique opportunity to work within a culture of inclusion, collaborate with talented professionals, and access comprehensive benefits and career development programs. Be part of a team that fosters connection, growth, and impactful change in the communities we serve.

As a Data Engineering Consultant, you will be instrumental in developing reusable patterns and services for secure, rapid, and sustainable delivery within the public cloud. You will build highly scalable applications on Azure, including microservices and Azure functions, while fostering a collaborative environment that produces high-quality technical output. Responsibilities include analyzing data for informed decision-making, estimating implementation efforts, and gathering new product capabilities. You will also design and develop robust ETL/ELT solutions on Azure Databricks, LakeBase, and Spark, empowering machine learning, insights generation, and business intelligence. Furthermore, you will architect and manage large-scale data pipelines, optimize complex SQL queries, and build AI-driven solutions for process automation and operational efficiency. Identifying improvements in data reliability, integrity, and system efficiency will be key, alongside participating in the architectural evolution of data engineering platforms and defining best practices. Mentoring fellow data engineers and guiding technical direction on cloud data platforms are also integral aspects of this role.

We are looking for a seasoned professional with a graduate degree or equivalent experience and a minimum of five years in data engineering, data integration, data modeling, data architecture, and ETL/ELT processes. Proficiency in SQL with a strong understanding of complex data schema design and query performance optimization is essential. You should possess at least three years of experience with Python, Scala, and Apache Spark (PySpark/Spark SQL). A minimum of three years of experience with DevOps automation using Terraform and API design/lifecycle management (GraphQL, REST) is required. Additionally, three years of experience building and deploying cloud solutions using Azure Databricks with UC, Snowflake, Functions, and Service Bus is necessary. Experience building LLM integrations for workflow automation and familiarity with CI/CD processes and tools such as GitHub Actions, GIT, Artifactory, and Sonar are also expected.