Data Engineer, Optum Technology - Remote

Optum is a global leader in health care innovation, developing cutting-edge solutions for healthier lives. The Data Engineer role involves designing database architecture, implementing data pipelines, and collaborating with teams to deliver AI/ML-driven solutions.

Responsibilities:

• Design and optimize database architecture, data models, and schemas
• Implement and maintain data pipelines (ETL/ELT) for large-scale data processing
• Develop and manage data solutions on PaaS and cloud ecosystems
• Ensure scalability, security, and performance of data platforms
• Perform needs assessments and enforce strict data quality standards
• Support compliance with organizational and regulatory requirements
• Build and deploy optimized solutions using Big Data technologies
• Collaborate with Data Scientists and Analysts to deliver AI/ML-driven solutions
• Lead projects independently, manage technical deliveries, and mentor junior engineers
• Drive knowledge-sharing sessions and capability development within the team
• Manage relationships with software/hardware vendors for architectural impact
• Work closely with enterprise teams for requirement gathering and solution design

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Engineering, or related field
• 5+ years of experience in data engineering, ETL development, and big data platforms
• Experience with SQL/Postgres/MySQL
• Experience with Azure cloud platform
• Familiarity with CI/CD, DevOps, and ML Ops workflows
• Knowledge of data modeling, schema design, and metadata management
• Expertise in Big Data technologies (PySpark/Scala Spark, Hive/Hadoop/NoSQL) and data warehousing
• Solid proficiency in Python, Scala
• Demonstrated ability to implement data security, governance, and compliance standards
• Proven skilled in building and automating data pipelines for batch and real-time processing
• All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy