Senior Data Engineering Consultant

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:

• Come up with architecture and design on various aspects like extensibility, scalability, security, design patterns etc., against a predefined checklist and ensure that all relevant best practices are followed
• Execute POCs to make sure that suggested design/technologies meet the requirements
• Architecting with modern technology stack and Designing Public Cloud Application leveraging in Azure
• Migrating existing pipelines in BDPass to Azure Cloud
• 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:

• Graduate degree or equivalent experience
• Experience with big data technologies, such as Apache Hadoop and Apache Spark
• Experience with cloud computing platforms, such as Amazon Web Services (AWS) and Microsoft Azure
• Experience with data security and privacy concerns
• Knowledge of data warehousing principles and best practices
• Familiarity with data modeling and data management techniques
• Familiarity with software development principles and agile methodologies 
• Solid programming skills, particularly in languages commonly used for data engineering, such as Python, Java, and SQL
• Proven excellent communication and collaboration skills
• Demonstrated solid problem-solving and critical thinking abilities
• Demonstrated solid troubleshooting skills and be interested in performing. Troubleshooting of issues in different desperate technologies and environments

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.