Lead Quality 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.

We are looking for a highly skilled Data Engineer to join our team as an individual contributor. The ideal candidate will have solid expertise in building and optimizing data pipelines, working with large-scale data systems, and leveraging modern data platforms like Databricks. This role requires hands-on experience in developing data-intensive applications and utilizing emerging GenAI tools to accelerate development and delivery.

Primary Responsibilities:

• Design, develop, and maintain scalable data pipelines and data processing workflows
• Work extensively with databases and data storage systems (both relational and non-relational)
• Build and optimize data-intensive applications and systems for high performance and scalability
• Implement solutions using Databricks, including Spark-based data processing and analytics
• Collaborate with cross-functional teams to gather requirements and deliver high-quality data solutions
• Ensure data quality, integrity, and governance across systems
• Leverage GenAI tools (e.g., Copilot, Codex) to improve development efficiency, automate tasks, and accelerate delivery timelines
• Troubleshoot and resolve performance issues in data processing and storage systems
• Follow best practices in software engineering, including version control, CI/CD, and testing
• 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:

• Solid experience as a Software Engineer with a focus on Data Engineering
• Hands-on experience with Databricks and Apache Spark
• Experience building and maintaining data-intensive systems and applications
• Experience using GenAI-assisted development tools like GitHub Copilot, Codex, or similar
• Proven expertise in data pipeline development and ETL/ELT processes
• Solid understanding of databases (SQL/NoSQL) and data modeling concepts
• Proficiency in programming languages such as Python, Scala, or Java
• Familiarity with modern data architectures (lakehouse, data lake, data warehouse)
• Proven solid problem-solving skills and ability to work independently as an individual contributor

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.