Job
Description
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 diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Design, build, and maintain scalable data infrastructure and pipelines Oversee data collection, transformation, and storage strategies to ensure data integrity and efficiency Collaborate with cross-functional teams including data science, analytics, product management, and IT Ensure optimal data pipeline architecture and troubleshoot issues as they arise Establish processes for data quality, validation, monitoring, and reporting Stay updated with the latest technologies and implement best practices in data engineering 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 Bachelors or Masters degree in Computer Science, Engineering, or related field 5+ years of experience in data engineering 5+ years of experience in SQL, Python, PySpark, and/or Scala programming languages 5+ years of hands-on experience with Databricks or similar big data processing platforms Solid understanding of data warehousing, ETL (Extract, Transform, Load) processes, and data modeling Experience in implementing data governance frameworks and security best practices Familiarity with big data technologies (e.g. Spark, Kafka) Proven excellent problem-solving skills and attention to detail 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. Show more Show less
