Remote Principal Data Engineer - Cloud, Spark & AI

UnitedHealth Group; Eden Prairie (MN); Remote; USD 113,000 - 193,000; Full time

Job summary

UnitedHealth Group is seeking a Principal Data Engineer to design scalable Azure-based data systems and ETL/ELT pipelines. You will lead Spark workflows, integrate LLMs, and collaborate with AI teams to deliver data-backed healthcare insights.

You will mentor engineers, work with Databricks and Snowflake, and ensure data quality, security, and performance across complex health data platforms.

Qualifications

• 8+ years of software or data engineering experience with ETL/ELT
• 5+ years of Python development
• 4+ years with Spark/PySpark and distributed processing
• 5+ years advanced SQL and data modeling
• 1+ years designing REST/GraphQL APIs
• 1+ years integrating LLMs or AI in workflows
• 1+ years Azure Databricks, Snowflake, or similar platforms
• 1+ years Git, CI/CD, testing, IaC practices

Responsibilities

• Design scalable cloud apps and reusable patterns in Azure
• Build and optimize large-scale ETL/ELT pipelines on Databricks and Spark
• Deploy AI-driven data solutions for BI, ML, and analytics
• Develop AI-powered business solutions to automate workflows
• Evolve data engineering standards and best practices
• Write advanced SQL for data reliability and performance
• Mentor data engineers and provide technical direction
• Collaborate with stakeholders to decompose requirements
• Evaluate trends to inform cloud data architecture
• Ensure performance and scalability in data platforms

Skills

Python

Apache Spark

SQL

LLM integration

REST/GraphQL APIs

Azure cloud

Data modeling

ETL/ELT design

Tools

Python

Azure Databricks

Snowflake

Git

CI/CD

Spark

Job description

UnitedHealth Group is seeking a Principal Data Engineer to design scalable Azure-based data systems and ETL/ELT pipelines. You will lead Spark workflows, integrate LLMs, and collaborate with AI teams to deliver data-backed healthcare insights.

You will mentor engineers, work with Databricks and Snowflake, and ensure data quality, security, and performance across complex health data platforms.