Health Analytics Data Engineering Lead — Hybrid/Remote

Aon Corporation; United States; Hybrid; USD 175,000 - 220,000; Full time

Benefits offered by this job

401(k) savings plan

Employee stock purchase plan

Medical, dental, and vision insurance

Paid vacation and holidays

Tuition assistance

Job summary

Aon Corporation is seeking a Health Analytics Data Engineering Team Leader to guide a distributed team in developing cloud-first data solutions for US Health Analytics. This role involves managing data architecture and ensuring data quality across analytics platforms.

The ideal candidate should have over 10 years of experience in data or software engineering and expertise in leading distributed teams. This position offers a hybrid work schedule and includes comprehensive benefits such as health insurance and a 401(k) plan.

Qualifications

• Team management experience in a global enterprise environment.
• 10+ years of relevant experience in data engineering or related roles.
• Deep experience designing cloud-first data engineering solutions.

Responsibilities

• Own the US Health Analytics data architecture.
• Ensure quality, monitoring, and reliability of data across the platform.
• Partner with various Aon teams to follow enterprise standards.

Skills

Team management experience

10+ years in data engineering

Cloud-first data engineering solutions

General software engineering capability

Data modeling and architecture expertise

Experience with US commercial healthcare data

Knowledge of HIPAA and data privacy

Leading distributed teams

Translating business needs into technical roadmaps

Experience with agentic AI

Practical data governance experience

Education

Bachelor's or master's degree in relevant field

Tools

Apache Spark

Databricks

Python

Git

Azure DevOps

Job description

Aon Corporation is seeking a Health Analytics Data Engineering Team Leader to guide a distributed team in developing cloud-first data solutions for US Health Analytics. This role involves managing data architecture and ensuring data quality across analytics platforms.

The ideal candidate should have over 10 years of experience in data or software engineering and expertise in leading distributed teams. This position offers a hybrid work schedule and includes comprehensive benefits such as health insurance and a 401(k) plan.