Optum
Overview
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 care, pharmacy benefits, data and resources they need to feel their best. Join us to start Caring. Connecting. Growing together. We are looking for a Principal Engineer with deep expertise in data platforms, building and operating scalable data services. You will be responsible for architecting, designing, and building highly scalable, resilient data platforms and self-service offerings that power analytical and AI/ML workloads in the enterprise. This role requires hands-on experience with Databricks, Snowflake, and open data lakehouse technologies (Apache Iceberg, Delta Lake, Hudi). You will collaborate with cross-functional teams to align with the data strategy and solve complex data problems, guide engineering teams, and define best practices to ensure robust modern data platforms. Youll enjoy the flexibility to work remotely from anywhere within the U.S. as you tackle challenging projects. Responsibilities
Architect and develop scalable data platforms: design and build high-performance, cloud-native data architectures for AI/ML, analytics, and business intelligence AI Agents: design and build AI Agents in multiple cloud environments; review models and designs and offer solutions Reusable frameworks: build reusable offerings and services that are scalable, resilient and secure for enterprise users in Kubernetes, Docker, Azure Functions, et al Data Lakehouse & Open Standards: drive adoption of open table formats (Iceberg, Delta Lake, Hudi) to create scalable, vendor-agnostic data lakehouse architectures Cloud & Distributed Systems: build resilient data solutions on AWS, Azure, or GCP, leveraging Databricks, Snowflake, and Kubernetes Data Governance & Security: implement best practices for governance, lineage, observability, and security in regulated environments (healthcare, finance) Performance Optimization: continuously improve efficiency, reliability, and scalability of data pipelines, query engines, and AI workloads Technical Leadership & Mentorship: provide technical guidance to engineers, review architecture designs, and contribute to open-source initiatives when applicable Required Qualifications
10+ years of experience in data engineering, data platforms, or streaming architectures, with at least 3+ years in a principal or lead engineering role 5+ years of experience with Python, Scala, Java, or Go, and familiarity with SQL, Spark, and Flink 3+ years of experience with data pipelines, data management and data security 2+ years of experience with Databricks, Snowflake, and open data lake formats (Iceberg, Delta, Hudi) 2+ years of experience with distributed systems, data modelling, and cloud computing (AWS, Azure, GCP) Preferred Qualifications
Bachelors degree in Software Engineering, Computer Science or related field 2+ years of experience with data governance practices 2+ years of experience with tools such as Jupyter, PyTorch, and GitHub Copilot, and familiarity with LLMs (GPT, Gemini, Llama, Claude) 2+ years of experience with LangChain, AutoGen, Crew AI and frameworks such as Hugging Face All employees working remotely will be required to adhere to UnitedHealth Groups Telecommuter Policy Compensation & Benefits
Pay is based on factors including local labor markets, education, work experience, and certifications. In addition to salary, benefits include a comprehensive package, incentive and recognition programs, equity stock purchase, and 401k contribution (eligibility applies). The salary range for this role is $132,200 to $226,600 annually based on full-time employment. UnitedHealth Group complies with all minimum wage laws as applicable. This role is posted for a minimum of 2 business days or until a sufficient candidate pool is collected. Job postings may be removed earlier due to volume of applicants. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We are committed to mitigating our impact on the environment and delivering equitable care that addresses health disparities and improves health outcomes. UnitedHealth Group is an Equal Employment Opportunity employer and a drug-free workplace. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. #J-18808-Ljbffr
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 care, pharmacy benefits, data and resources they need to feel their best. Join us to start Caring. Connecting. Growing together. We are looking for a Principal Engineer with deep expertise in data platforms, building and operating scalable data services. You will be responsible for architecting, designing, and building highly scalable, resilient data platforms and self-service offerings that power analytical and AI/ML workloads in the enterprise. This role requires hands-on experience with Databricks, Snowflake, and open data lakehouse technologies (Apache Iceberg, Delta Lake, Hudi). You will collaborate with cross-functional teams to align with the data strategy and solve complex data problems, guide engineering teams, and define best practices to ensure robust modern data platforms. Youll enjoy the flexibility to work remotely from anywhere within the U.S. as you tackle challenging projects. Responsibilities
Architect and develop scalable data platforms: design and build high-performance, cloud-native data architectures for AI/ML, analytics, and business intelligence AI Agents: design and build AI Agents in multiple cloud environments; review models and designs and offer solutions Reusable frameworks: build reusable offerings and services that are scalable, resilient and secure for enterprise users in Kubernetes, Docker, Azure Functions, et al Data Lakehouse & Open Standards: drive adoption of open table formats (Iceberg, Delta Lake, Hudi) to create scalable, vendor-agnostic data lakehouse architectures Cloud & Distributed Systems: build resilient data solutions on AWS, Azure, or GCP, leveraging Databricks, Snowflake, and Kubernetes Data Governance & Security: implement best practices for governance, lineage, observability, and security in regulated environments (healthcare, finance) Performance Optimization: continuously improve efficiency, reliability, and scalability of data pipelines, query engines, and AI workloads Technical Leadership & Mentorship: provide technical guidance to engineers, review architecture designs, and contribute to open-source initiatives when applicable Required Qualifications
10+ years of experience in data engineering, data platforms, or streaming architectures, with at least 3+ years in a principal or lead engineering role 5+ years of experience with Python, Scala, Java, or Go, and familiarity with SQL, Spark, and Flink 3+ years of experience with data pipelines, data management and data security 2+ years of experience with Databricks, Snowflake, and open data lake formats (Iceberg, Delta, Hudi) 2+ years of experience with distributed systems, data modelling, and cloud computing (AWS, Azure, GCP) Preferred Qualifications
Bachelors degree in Software Engineering, Computer Science or related field 2+ years of experience with data governance practices 2+ years of experience with tools such as Jupyter, PyTorch, and GitHub Copilot, and familiarity with LLMs (GPT, Gemini, Llama, Claude) 2+ years of experience with LangChain, AutoGen, Crew AI and frameworks such as Hugging Face All employees working remotely will be required to adhere to UnitedHealth Groups Telecommuter Policy Compensation & Benefits
Pay is based on factors including local labor markets, education, work experience, and certifications. In addition to salary, benefits include a comprehensive package, incentive and recognition programs, equity stock purchase, and 401k contribution (eligibility applies). The salary range for this role is $132,200 to $226,600 annually based on full-time employment. UnitedHealth Group complies with all minimum wage laws as applicable. This role is posted for a minimum of 2 business days or until a sufficient candidate pool is collected. Job postings may be removed earlier due to volume of applicants. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We are committed to mitigating our impact on the environment and delivering equitable care that addresses health disparities and improves health outcomes. UnitedHealth Group is an Equal Employment Opportunity employer and a drug-free workplace. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. #J-18808-Ljbffr