Principal Data Engineering – Remote Closed Unitedhealth Group

Skills / Requirements

• Airflow
• Apache Spark
• AWS
• Azure
• CI/CD
• Cloud Platforms
• Data Lakes
• Data Modeling
• Data Warehouses
• Databricks
• ETL/ELT
• GCP
• Infrastructure as Code
• Kafka
• Kinesis
• MLOps
• Python
• Scala
• Snowflake
• SQL
• Vibe Coding

Why Apply

This role is ideal for someone adept at using AI tools like Claude Code, Cursor, Replit, and GitHub Copilot for rapid prototyping and production deployment. It requires deep experience in MLOps and cloud-based ML platforms, making it perfect for those who thrive in AI-assisted environments.

What You'll Be Doing

You will design and implement ML infrastructure, manage model lifecycles, and develop MLOps platforms. Your work will enable reliable experimentation, deployment, monitoring, and governance of machine learning and generative AI models.

Pay and Career Growth

The role offers a competitive salary ranging from $112,700 to $193,200 annually, with additional benefits like equity stock purchase and 401k contributions. It provides opportunities for career advancement and skill development in a challenging and supportive environment.

Benefits and Perks

• 401k contribution
• Comprehensive Benefits
• Equity
• incentive programs

Is This Role Right for You?

Original Job Description

Requisition number: 2340798

Job category: Technology

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.

Optum AI is UnitedHealth Group’s enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for healthcare. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the healthcare journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform.

As a Principal Data Engineering, you will be an important part of teams responsible for building and operating scalable machine learning platforms and production ML systems across the enterprise. You will drive the design and implementation of ML infrastructure, model lifecycle management systems, and MLOps platforms that enable reliable experimentation, deployment, monitoring, and governance of machine learning and generative AI models. This role requires deep experience in MLOps and cloud-based ML platforms, and the ability to collaborate closely with data science, engineering, and platform teams.

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.

Primary Responsibilities:

Lead and grow data engineering teams by mentoring engineers and fostering a solid engineering culture focused on reliability, innovation, and collaboration

Define data platform architecture and strategy supporting enterprise analytics, AI, and machine learning workloads

Design and maintain scalable batch and streaming data pipelines for ingestion, transformation, orchestration, and data delivery

Develop modern data engineering platforms using technologies such as Apache Spark, Databricks, and Snowflake

Enable AI and machine learning workflows by building feature stores, ML data pipelines, and curated data layers

Implement data quality, governance, and observability frameworks including lineage, validation, and metadata management

Ensure operational excellence including SLAs, SLOs, reliability, scalability, performance optimization, and cost efficiency

Collaborate with product, analytics, platform, and security teams to translate business needs into scalable data solutions

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.

Required Qualifications:

8+ years of experience in data engineering or data platform engineering including large-scale ETL/ELT pipelines and distributed data processing systems

8+ years of experience programming in Python or Scala for data engineering along with advanced SQL for data transformation and analytics

6+ years of experience working with modern data engineering technologies; such as Apache Spark, Databricks, Snowflake, or equivalent platforms

5+ years of experience building and operating cloud-based data platforms on AWS, Azure, or GCP

5+ years of experience designing data models and storage architecture; including dimensional modeling, data lakes, or data warehouses

4+ years of experience leading data engineering teams or technical initiatives; including mentoring engineers and influencing architecture decisions

1+ years of experience with rapid prototyping and production deployment using vibe coding tools like Claude Code, Cursor, Replit, and GitHub Copilot

Preferred Qualifications:

Master’s degree in Computer Science, Engineering, Data Science, or a related technical field

Experience building real-time or streaming data pipelines using Kafka, Kinesis, Event Hubs, or similar technologies

Experience with workflow orchestration tools such as Airflow, Databricks Workflows, or Prefect

Experience implementing data governance frameworks including metadata management, lineage tracking, and cataloging tools

Experience implementing DevOps practices for data platforms including CI/CD pipelines and Infrastructure as Code

Experience in Healthcare or Life Sciences

*All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you’ll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

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.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.