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 and develop ETL/ELT solutions on Azure Databricks, ADF, Snowflake and Spark
• Develop, implement, and deploy large scale data pipelines empowering machine learning algorithms, insights generation, business intelligence dashboards, reporting and new data products
• Partner with Optum Technology to create and maintain the technical architecture of the Enterprise Delta Lake to consolidate data from many systems into a single source for machine learning and reporting analytics
• Design, build, optimize, and manage modern large-scale data pipelines ETL/ELT processing to support data integration for analytics, machine learning features and predictive modelling
• Consume data from a variety of sources (RDBMS, APIs, FTPs and other cloud storage) & formats (Excel, CSV, XML, JSON, Parquet, Unstructured)
• Write advanced / complex SQL with performance tuning and optimization
• Identify ways to improve data reliability, data integrity, system efficiency and quality
• Participate in architectural evolution of data engineering patterns, frameworks, systems, and platforms including defining best practices and standards for managing data collections and integration
• Design and build data service APIs
• Mentor other data engineers and provide significant technical direction by teaching other data engineers how to leverage cloud data platforms
• 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:

• 7 + years of experience in data engineering, data integration, data modeling, data architecture, and ETL/ELT processes to provide quality data and analytics solutions
• 3+ years of experience in Python
• 2 + years of experience in Apache Spark (PySpark/Spark SQL)
• 2+ years building and deploying Cloud based solutions using – Azure Databricks, ADF, Snowflake, Functions, Service Bus
• 2+ years of experience in SQL with designing complex data schemas and query performance optimization
• Experience with DevOps automation with Terraform
• Experience with Shell scripting
• Experience with CI/CD process and tools – Jenkins, GitHub Actions, GIT, Artifactory, Fortify Scan, Sonar

Preferred Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Mathematics or related discipline
• Extensive knowledge of data architecture principles (e.g., Data Lake, Databricks Delta Lake, Data Warehousing, etc.)
• Extensive knowledge of data modelling techniques including slowly changing dimensions, aggregation, partitioning and indexing strategies
• Proven ability to independently troubleshoot and performance tune large scale enterprise systems
• Proven excellent collaborator with experience working effectively with cross-functional teams such as leadership, product management and engineering, with a willingness to inspire other data engineers, data scientists and analysts
• Proven solid communication skills with the ability to communicate technical concepts to both technical and non-technical audiences

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.