Data Engg Lead

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a highly skilled Data Engineer with strong hands-on experience in building data pipelines on Databricks using Python. The role involves working on modern data platforms, cloud-native technologies, and contributing to advanced GenAI use cases such as RAG implementations. Primary Responsibilities: Builder Responsibilities: Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making. Design, develop, and maintain scalable data pipelines on DatabricksWrite efficient and optimized Python code for data engineering workflowsBuild and manage ETL/ELT processes for large-scale datasetsDeploy and manage applications using Kubernetes and AWS servicesSet up and maintain CI/CD pipelines using GitHubEnsure code quality through unit testing (JUnit or equivalent frameworks)Monitor systems using Splunk and Grafana for logging and observabilityCollaborate with cross-functional teams including data scientists and AI engineersContribute to RAG-based pipelines integrating structured and unstructured dataComply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do soRequired Qualifications: Solid experience in:Databricks and Apache SparkDeveloping data pipelines using PythonHands-on experience with AWS (S3, EC2, Lambda, etc.)Experience with Kubernetes (containerization & orchestration)Experience implementing CI/CD pipelines using GitHubExperience in monitoring/logging tools like Splunk and GrafanaKnowledge of testing frameworks (JUnit or similar)Solid understanding of data engineering best practices and distributed systems Preferred Qualifications: Undergraduate degree experienceExperience in RAG (Retrieval-Augmented Generation) implementationsExperience is developing Data pipelines on Databricks using Python and Java codeExperience in RAG implementations using Vector databases like Mongo DBExperience or knowledge inKubernetes & AWS, CI/CD Pipeline - Github JUnit, Splunk, GrafanaHands-on experience with vector databases (MongoDB - Vector Search preferred)Exposure to LLMs and GenAI architecturesKnowledge of handling unstructured datasets for AI/ML use cases At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a highly skilled Data Engineer with strong hands-on experience in building data pipelines on Databricks using Python. The role involves working on modern data platforms, cloud-native technologies, and contributing to advanced GenAI use cases such as RAG implementations. Primary Responsibilities: Builder Responsibilities: Design, develop, and deploy