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:

• As Big Data Lead Engineer, you will evaluate, design, develop, maintain and test Big Data solutions. You will be involved in data engineering activities like creating pipelines/ workflows for source to target mappings

• Responsible for data ingestion from files, streams and databases. Process the data using Hadoop, Spark, Python/Scala, SQL

• Provide hands-on leadership for the design and development of ETL data flows using Hadoop and Spark ecosystem components. Lead the development of large-scale, high-speed, and low-latency data solutions in the areas of large-scale data manipulation, long-term data storage, data warehousing, low-latency retrieval systems, real-time reporting and analytics data applications, ad-hoc analytics.

• Develop programs in Python and SQL as part of data cleaning and processing

• Responsible for design and development of distributed, high volume, high velocity multi-threaded event processing systems using Kafka and REST APIs

• Develop efficient code for multiple use cases leveraging Python and Big Data technologies on the Azure platform in an optimal manner

• Maintain high operational excellence guaranteeing high availability and platform stability

• Maintain and develop complex data processing frameworks using Python, Spark, SQL and Airflow

• Follow DevOps practices to automate the data pipelines

• Build and maintain Continuous Integration/Continuous Deployment pipelines using GitHub Actions

• Build and maintain operational monitoring and application telemetry systems for monitoring jobs and troubleshooting failures

• 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:

• Undergraduate degree or equivalent experience

• 8+ years of overall experience with at least 2 years of experience as Tech Lead

• 4+ years of experience in Big Data with prior experience in ETL

• Experience working with Azure Databricks, Delta Lake, Parquet and Snowflake

• Experience working with Python

• Experience working with CI tools like GitHub Actions or Jenkins

• Hands-on experience with Spark, Hive and any ETL tool (Any tool is fine as long as the resource has solid ETL processing experience)

• Experience using Airflow for job orchestration

• Experience working in and designing components for a cloud application, preferably Azure

• Solid knowledge of SQL

Preferred Qualifications:

• Knowledge of Docker, Kubernetes and Microservice architecture

• Knowledge of American healthcare domain

• Knowledge of Grafana and Kafka

• Experience in Unix shell scripting, Java/Scala

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.