Data Engineer, Optum Technology - Remote

UnitedHealth Group•Minnetonka, MN

1d•Remote

About The Position

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care’s most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. If you are located in XXX, you will have the flexibility to work remotely as you take on some tough challenges. If you are located in XXX, you will have the flexibility to work remotely, as well as work in the office as you take on some tough challenges. You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

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

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