Data Engineer III

McDonald’s Corporation

Quick summary

Work type
On-site
Location
Chicago, IL
Salary
$138,207–$172,758 / yr
Posted
2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $163k
This role $155k
$104k most similar roles pay here $216k

This role pays less than 60% of similar roles. Most pay $126,800–$198,225 — the shaded band above. At the midpoint, this role pays about $155k versus about $163k for comparable roles.

Based on 240 similar postings.

Employer

About McDonald’s Corporation

McDonald’s Corporation is the world's largest fast-food chain by revenue, operating over 40,000 locations in more than 100 countries.

McDonald’s Corporation currently has 62 open roles on FindRole.

Listed pay typically runs $138,207–$172,758 across 60 roles with salary data.

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View all roles at McDonald’s Corporation

At a glance

TL;DR · Data Engineer III

The Manager, Data Engineer III at McDonald’s Global Data & Analytics organization leads the design and delivery of large-scale data products that support critical global business outcomes. This role involves end-to-end technical ownership of data products, including roadmap execution, engineering excellence, and people leadership for a squad of data engineers. Day-to-day responsibilities include developing cloud-native services using Java, building high-volume transactional systems, implementing event-driven solutions with Kafka or similar tools, and ensuring adherence to security standards. The ideal candidate has over five years of experience in backend development, proficiency with modern cloud platforms like AWS or GCP, hands-on experience with Git and CI/CD pipelines, and familiarity with observability frameworks such as Prometheus and Grafana. This role requires deep technical expertise and strong leadership skills to collaborate effectively across distributed teams in a fast-paced global environment.

What you'll do

  • Lead the design and implementation of scalable backend architectures for McDonald’s Marketer Customer Data Platform.
  • Develop, test, and maintain cloud-native services using Java and modern development practices.
  • Build high-volume transactional systems and support data processing with event-driven solutions like Kafka.
  • Mentor junior developers through code reviews and pair programming to enhance team skills.
  • Implement monitoring and logging solutions to ensure production-readiness and operational excellence.

What we're looking for

  • 5+ years of experience as a Data Engineer, Back End Developer, or Software Engineer.
  • Expertise in Java and cloud-native development with AWS or GCP.
  • Hands-on experience with Git, Maven/Gradle, Docker, Kubernetes, and CI/CD pipelines.
  • Proven ability to design and support high-volume, low-latency distributed systems.
  • Experience with event-driven architecture, streaming platforms (Kafka), and observability tools.
  • Strong understanding of application security and secure coding practices.

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