Data Engineering Consultant

Requisition Number: 2347588
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:

• Support data migration and modernization projects by assisting with data validation, testing, and deployment activities
• Help develop, maintain, and monitor data pipelines using tools such as Snowflake, dbt, Databricks, Talend, and Rundeck
• Assist with data ingestion and transformation processes to ensure accuracy, reliability, and performance
• Support the execution and scheduling of jobs and help troubleshoot basic model or data issues
• Participate in quality engineering (QE) activities, including testing, validation, and post deployment checks
• Work with senior engineers and SRE teams to support deployments and resolve operational issues
• Assist in converting existing SQL logic and data processes into modern, scalable data models under guidance
• Use AI and automation tools to improve development efficiency and support data validation efforts
• Collaborate with cross functional teams to understand data requirements and support business needs
• Actively participate in team meetings, training sessions, and knowledge-sharing activities
• Continuously build technical skills in data platforms and tools, with exposure to emerging technologies such as Databricks
• Demonstrate a solid willingness to learn, adapt, and grow within a fast-paced data engineering environment
• 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:

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field (or equivalent practical experience)
• Hands-on experience or academic exposure to modern data platforms and tools such as Snowflake, dbt, Databricks, Talend, and Rundeck
• Experience supporting or assisting with data migration and modernization initiatives, including testing and deployment activities
• Understanding of data pipeline development, monitoring, and job scheduling processes
• Foundational understanding of data engineering concepts, including data ingestion, transformation, and validation
• Familiarity with AI assisted development tools or automation techniques to improve development efficiency and data validation
• Exposure to quality engineering (QE) practices, including data testing, validation, and post deployment verification
• Basic proficiency in SQL and familiarity with converting legacy SQL logic into scalable, modern data models
• Proven ability to troubleshoot basic data, model, or pipeline issues under guidance from senior engineers
• Proven solid collaboration skills with the ability to work effectively with senior engineers, SRE teams, and cross functional partners
• Proven excellent verbal and written communication skills, with the ability to understand and support business data requirements
• Demonstrated willingness to learn, adapt, and grow in a fast paced data engineering environment
• Proven ability to proactively participate in team meetings, training sessions, and knowledge sharing activities
• Proven solid attention to detail, problem solving skills, and a commitment to data accuracy, reliability, and performance

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.