[Hiring] Principal Data Engineer @UnitedHealth Group

Role Description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges.

• Design and lead the evolution of enterprise scale data platforms
• Own end to end architecture for batch and streaming pipelines
• Set data engineering standards and best practices across teams
• Review and approve complex technical designs
• Influence platform strategy and long term technical roadmap
• Mentor senior engineers and technical leaders
• Partner with product, analytics, and security teams to deliver data solutions
• Build multi agent AI solutions to drive efficiencies in rev cycle workflows

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field (Master’s preferred)
• 8+ years of professional experience in data engineering, software engineering, or platform engineering
• 3+ years in a technical leadership capacity (principal, staff, lead, or architect roles)
• Proven track record of designing and scaling enterprise grade data platforms

Requirements

• Deep experience designing distributed, scalable data systems
• Expertise in batch and streaming architectures
• Experience building agentic workflows using Databricks AgentBricks or LangGraph
• Solid knowledge of data lakes, lakehouse architectures, OLAP vs OLTP systems, event driven and real time data processing
• Expert level proficiency in Python, Java, or Scala
• Advanced experience with frameworks such as Apache Spark / PySpark, Kafka / Pulsar
• Solid SQL skills (optimization, query planning, performance tuning)
• Hands on experience with AWS, Azure, or GCP
• Deep understanding of cloud native data services (e.g., Databricks, Redshift, Synapse, Snowflake)
• Understanding of object storage (S3 / ADLS / GCS), IAM, networking, security, cost optimization
• Experience with ETL/ELT tools and orchestration (Airflow, Dagster, dbt)
• Schema modeling (dimensional, data vault, event modeling)
• Data quality, observability, and lineage tools
• Experience running mission critical data systems
• Design for high availability, fault tolerance, disaster recovery
• Define SLAs, SLOs, and operational metrics for data platforms

Benefits

• Comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution (all benefits are subject to eligibility requirements)