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

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The Manager, Data Engineer III at McDonald’s Global Data & Analytics is responsible for leading the design and delivery of large-scale data products that support critical global business outcomes. This role involves end-to-end technical ownership, 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 like Kafka, and maintaining security and compliance standards. The ideal candidate has over five years of experience in backend development with expertise in Java, Git, Maven or Gradle, AWS or GCP, and containerized applications. They must also be proficient in agile methodologies, microservices architectures, and observability platforms such as Prometheus and Grafana. This role operates at the intersection of technology, product, and business, requiring strong technical fluency and leadership skills to drive operational excellence across distributed teams.

Skills

Java Maven Gradle AWS GCP Git Kubernetes Docker CI/CD Prometheus Grafana Kafka OpenTelemetry Snyk Scrum API gateways Microservices Cloud-native data pipelines

What you'll do

Lead the design and implementation of scalable backend architectures for McDonald’s 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.
Mentor junior developers through code reviews and pair programming sessions.
Implement monitoring, logging, tracing, and alerting to ensure operational excellence.
Drive technical best practices and adherence to security standards in a distributed environment.

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 on AWS or GCP.
Hands-on experience with Git, Maven/Gradle, Docker, Kubernetes.
Proven track record designing high-volume, low-latency systems.
Experience with event-driven architecture and streaming platforms like Kafka.
Familiarity with observability tools such as Prometheus, Grafana, OpenTelemetry.

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