Senior Data Engineer

Senior Data EngineerOptum 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, and data 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.As a Senior Data Engineer on the UHC Core Data KTLO team, you will join our dynamic technology organization in Eden Prairie, MN, dedicated to building and optimizing robust data pipelines and systems that power critical healthcare platforms. In this role, you will design and deliver modern data and AI-powered solutions, platforms, and automations for enterprise scale. You will work with state-of-the-art technologies such as Python, Spark, Scala, and Kafka to build scalable, high-performance data processing pipelines and apply data warehousing and modeling best practices. You will play a key role in driving innovation by identifying opportunities to streamline workflows, automate tasks, and leverage advanced tools to address complex business challenges. Focus on KTLO activities, including vulnerability remediation, tool and version upgrades, data security, and platform stability. Additionally, support Azure Data Factory pipelines, Databricks workloads, and cloud components such as Blob Storage and AzCopy.You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.Primary Responsibilities:Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AIDesign, develop, and maintain scalable data pipelines using Python, PySpark, SQL, and DatabricksBuild and support batch and streaming data solutions using Kafka and Azure Data FactorySupport KTLO activities including production support, incident resolution, vulnerability remediation, platform upgrades, and system reliabilityImplement automation and AI-enabled solutions to improve engineering efficiency and operational processesOptimize data models, queries, and large-scale data processing workloadsCollaborate with business and technology partners to deliver high-quality data solutionsEnsure compliance with security, governance, and healthcare data privacy requirementsContribute to CI/CD, monitoring, and cloud modernization initiativesApply and promote data warehousing, data modeling, and database design best practicesYou'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.Required Qualifications:5+ years of experience in Data Engineering, Software Engineering, or a related field3+ years of experience with Python, SQL, Spark/PySpark, and Databricks3+ years of experience with data warehousing, dimensional modeling, and database design2+ years of experience with Azure Data Factory, Azure Data Lake, or related cloud data services2+ years of experience with Apache Kafka or streaming technologies2+ years of production support and KTLO experience, including troubleshooting and platform maintenance1+ years of experience building data pipelines using Databricks Medallion Architecture1+ years of experience with CI/CD, and automation practicesPreferred Qualifications:Bachelor's degree in Computer Science, Information Systems, or related fieldExperience with Azure cloud technologiesExperience with Airflow for workflow orchestrationExperience with Docker, Kubernetes, Terraform, or Infrastructure as CodeExperience with Power BI, Tableau, or LookerExperience working with healthcare data and HIPAA-regulated environmentsExperience with relational and NoSQL databases such as PostgreSQL, Cosmos DB, MongoDB, or SnowflakeStrong analytical, problem-solving, and communication skills*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). The salary for this role will range from $91,700 - $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.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 enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.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.UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.#RPO #GREEN