Senior Data Engineering 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.
Primary Responsibilities:

• Ensures that all the standard requirements have been met and is involved in performing the technical analysis
• Assisting the project manager by compiling information from the current systems, analyzing the program requirements, and ensuring that it meets the specified time requirements
• Resolves moderate problems associated with the designed programs and provides technical guidance on complex programming
• 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:

• Graduate degree or equivalent experience
• 10+ years of experience in Spark, Azure Databricks, Azure Data Factory, proficient in coding, testing, implementing, debugging, and documenting the complex Spark Jobs
• Good hands-on experience on setting up Kafka streams and consuming from Kafka streams
• Cloud Platforms: Azure, (or GCP) experience
• Good knowledge in Unix and shell scripting
• Good knowledge in Data Analysis, Data Profiling and Mapping
• Containerization & Orchestration: Knowledge of Docker, Kubernetes
• Distributed Systems: Knowledge of data partitioning and parallel processing
• Good understanding of Spark Architecture
• Good understanding of Data Architecture and Azure Cloud
• Understanding of the business needs and designs programs and systems that match the complex business requirements and records all the specifications that are involved in the development and coding process
• Understanding of QA and testing automation process
• Data Security & Compliance: Familiarity with GDPR, HIPAA, or similar standards
• Programming: Solid in Azure Databricks, Spark, ADF
• Data Modeling & Warehousing: Expertise in relational and NoSQL databases
• Proven ability to be involved in creating proper technical documentation in the work assignments

Preferred Qualifications:

• Understanding and knowledge of Agile
• Streaming Technologies: Knowledge of Kafka or similar message queuing systems
• AI and Machine Learning Deployment: Knowledge of implementing AI solutions (RAG development, Agents creation), exposure to ML model integration
• CI/CD for Data: Knowledge of Jenkins or other DevOps tools for data workflows
• BI Tools: Knowledge of Tableau, Power BI for reporting

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.