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 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:

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:

Good experience in building data pipelines using ADF Good experience with programming languages such as Python, PySpark Solid proficiency in SQL and complex queries Demonstrated ability to learn and adapt to new data technologies Proven good skills in Azure Data Processing like Azure data Factory and Azure data Bricks Proven good problem-solving skills Proven good communication skills Proven technical skills - Python, Azure Data Processing Tools

Other Requirements:

Collaborate with team, architects, and product stakeholders to understand the scope and design of a deliverable Participate in product support activities as needed by the team Understand product architecture, features being built and come up with product improvement ideas and POCs Individual contributor for Data Engineering - Data pipelines, Data modelling and Data warehouse

Preferred Qualifications:

Knowledge or experience with Containerization - Docker, Kubernetes. Knowledge or experience with Bigdata or Hadoop ecosystem - Spark, Hive, HBase, Sqoop etc. Experience with APIs and integrating external data sources. Experience in Build or Deployment Automation - Jenkins Knowledge or experience using Microsoft Visio, Power Point. Knowledge on Agile or Scrum



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.