Data Engineering Consultant – ETL, Snowflake, Azure

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.

The Data Engineering Consultant is responsible for designing, developing, and maintaining data systems and solutions that support analytics, reporting, and operational data needs. This includes building scalable data pipelines, ensuring data quality, and enabling business intelligence through robust engineering practices.

Primary Responsibilities:

• Develop and maintain ETL/ELT pipelines using tools such as Talend, Informatica, or native cloud services
• Collaborate with data analysts, scientists, and business stakeholders to understand data requirements
• Ensure data quality, integrity, and consistency across systems
• Optimize data workflows for performance and scalability
• Implement data governance and security protocols in compliance with enterprise standards
• Support data modeling and architecture efforts for analytics platforms
• Troubleshoot and resolve data-related issues in production and development environments
• 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 regard 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:

• Experience with cloud platforms (AWS, Azure, GCP) and data services
• Proficiency in SQL and scripting languages (e.g., Python, Shell)
• Familiarity with data warehousing concepts and tools (e.g., Snowflake, Redshift)
• Solid understanding of data integration and transformation techniques
• Ability to work independently and manage multiple priorities

Preferred Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or related field
• 3+ years of experience in data engineering or analytics
• Experience with big data technologies (Spark, Hadoop)
• Exposure to Agile development and DevOps practices

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.

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