Health Analytics Data Engineering Lead

Aon; Denver (CO); Hybrid; USD 175,000 - 220,000; Full time

Benefits offered by this job

401(k) with employer contributions

Employee stock purchase plan

Paid time off including 12 paid holidays

Tuition assistance

Health insurance

Job summary

Aon is seeking a Health Analytics Data Engineering Leader to oversee a globally distributed data engineering team for US Health Analytics solutions. The ideal candidate will have extensive experience in data engineering, strong team management skills, and a deep understanding of cloud-first data solutions.

This role involves ensuring data quality and governance while designing scalable solutions that meet business needs. Candidates should have a bachelor's or master's degree in a related field and significant experience with data modeling and architecture.

Qualifications

• Must have 10+ years of relevant experience in data engineering or related technical leadership roles.
• Experience with Medallion architecture in domain-relevant environment is preferred.
• Strong capability in cloud-first data engineering solutions.

Responsibilities

• Lead a distributed team to deliver scalable data engineering solutions.
• Accountable for data quality and governance across the platform.
• Partner with Aon teams to ensure best practices are followed.

Skills

Team management experience

10+ years in data engineering

Experience with Medallion architecture

Cloud-first data solutions

General software engineering capability

Data modeling and architecture

US commercial healthcare data

HIPAA and data privacy knowledge

Leading distributed teams

Translating business needs

Experience with agentic AI

Practical data governance experience

Production software writing skills

Education

Bachelor's or master's degree in relevant field

Tools

Apache Spark

Databricks

Python

Git

Azure DevOps

Job description

Aon is seeking a Health Analytics Data Engineering Leader to oversee a globally distributed data engineering team for US Health Analytics solutions. The ideal candidate will have extensive experience in data engineering, strong team management skills, and a deep understanding of cloud-first data solutions.

This role involves ensuring data quality and governance while designing scalable solutions that meet business needs. Candidates should have a bachelor's or master's degree in a related field and significant experience with data modeling and architecture.