Data Engineering Consultant

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

• Design, develop, and maintain scalable data pipelines on Databricks
• Write efficient and optimized Python code for data engineering workflows
• Build and manage ETL/ELT processes for large-scale datasets
• Deploy and manage applications using Kubernetes and AWS services
• Set up and maintain CI/CD pipelines using GitHub
• Ensure code quality through unit testing (JUnit or equivalent frameworks)
• Monitor systems using Splunk and Grafana for logging and observability
• Collaborate with cross-functional teams including data scientists and AI engineers
• Contribute to RAG-based pipelines integrating structured and unstructured data
• Comply 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 so

Required Qualifications

• Solid experience in: + Databricks and Apache Spark + Developing data pipelines using Python
• Hands-on experience with AWS (S3, EC2, Lambda, etc.)
• Experience with Kubernetes (containerization & orchestration)
• Experience implementing CI/CD pipelines using GitHub
• Experience in monitoring/logging tools like Splunk and Grafana
• Knowledge of testing frameworks (JUnit or similar)
• Solid understanding of data engineering best practices and distributed systems

Preferred Qualifications

• Undergraduate degree experience
• Experience in RAG (Retrieval-Augmented Generation) implementations
• Experience is developing Data pipelines on Databricks using Python and Java code
• Experience in RAG implementations using Vector databases like Mongo DB
• Experience or knowledge inKubernetes & AWS, CI/CD Pipeline - Github JUnit, Splunk, Grafana
• Hands-on experience with vector databases (MongoDB - Vector Search preferred)
• Exposure to LLMs and GenAI architectures
• Knowledge 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.