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Data Engineer III

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: McDonald's
Full Time position
Listed on 2026-07-20
Job specializations:
  • Software Development
    Backend Developer, DevOps
Salary/Wage Range or Industry Benchmark: 138207 - 172758 USD Yearly USD 138207.00 172758.00 YEAR
Job Description & How to Apply Below

Department Overview

McDonald’s Global Data & Analytics organization is seeking a Manager, Data Engineer III to lead the design, delivery, and evolution of large‑scale data products that support critical global business outcomes. This role is responsible for end‑to‑end technical ownership of data products, including roadmap execution, engineering excellence, and people leadership for a squad of data engineers. You will operate at the intersection of technology, product, and business, serving as the primary technical decision‑maker for your data products while partnering closely with Product Managers, Architects, and key stakeholders across the enterprise.

Duties
  • Lead the design, implementation, and evolution of scalable, secure, and resilient backend architectures supporting McDonalds’ Marketer Customer Data Platform
  • Develop, test, and maintain cloud‑native services using Java and modern development practices.
  • Build and support high‑volume, low‑latency transactional and data processing systems.
  • Implement and maintain event‑driven solutions (e.g., Kafka or equivalent) and streaming data pipelines.
  • Drive technical best practices, code quality, and adherence to security and compliance standards.
  • Mentor and coach junior and mid‑level developers through code reviews, pair programming, and knowledge sharing.
  • Participate in architecture discussions and provide guidance on system design, performance, and reliability.
  • Collaborate across product, architecture, security, Dev Ops, and operations teams in a distributed, global environment.
  • Contribute to Dev Ops and CI/CD practices, including automated deployments, automated testing, infrastructure‑as‑code, and observability solutions.
  • Implement monitoring, logging, tracing, and alerting to ensure production‑readiness and operational excellence.
  • Assist with investigations into complex incidents, performance tuning, and continuous improvement initiatives.
Qualifications
  • +5 years of experience as Data Engineer, Back End, Software Engineer or related field.
  • Extensive professional experience with Java (modern versions) and enterprise backend real‑time application development.
  • Hands‑on experience with Git for source control, collaboration, and CI/CD pipelines.
  • Proficiency with build and dependency management tools such as Maven and/or Gradle.
  • Deep experience with cloud‑native development (AWS or GCP), including identity, access management, and cost optimization.
  • Proven experience designing and supporting high‑volume, distributed, and low‑latency systems.
  • Experience with event‑driven architecture and streaming platforms (e.g., Kafka, Pub/Sub).
  • Experience with containerized applications and orchestration platforms (Docker, Kubernetes, ECS/Cloud Run).
  • Experience working in Agile/Scrum SDLC environments and collaborating with distributed, global teams.
  • Familiarity with API gateways, microservices architectures, and cloud‑native data pipelines.
  • Experience integrating backend services with marketing technology tools (e.g., mParticle, Segment, Adobe Campaign, Braze, Salesforce, Hubspot, etc.).
  • Experience with observability and monitoring platforms & frameworks (Prometheus, Grafana, New Relic, Kibana, Open Telemetry).
  • Strong understanding of application and platform security, including secure coding practices and security tools (Snyk, SAST, DAST, SCA).
Compensation

Bonus Eligible:
Yes

Long - Term Incentive:
Yes

Benefits Eligible:
Yes

Salary Range

The expected salary range for this role is $ - $ per year

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we may also consider your experience, and other job‑related factors.

Additional Information

Benefits eligible:
This position offers health and welfare benefits, including but not limited to comprehensive health insurance, which includes medical, prescription drug, mental health, dental and vision coverage, as well as, life insurance.

Bonus eligible:
This position is eligible for a bonus, calculated based on individual and company performance.

Long term Incentive eligible:
This position is eligible for stock or other equity grants pursuant to McDonald’s long‑term incentive plan.

EEO Statement

McDonal…

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