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Data Engineer IIIMcDonald's Corporation • Chicago, Illinois, United States
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Data Engineer III

McDonald's Corporation
  • US
    Chicago, Illinois, United States
  • US
    Chicago, Illinois, United States
Jetzt Bewerben

Über

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, DevOps, and operations teams in a distributed, global environment.
Contribute to DevOps 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, OpenTelemetry).
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 $138,207.00 - $172,758.00 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 McDonald’s is an equal opportunity employer committed to the diversity of our workforce. We promote an inclusive work environment that creates feel‑good moments for everyone. McDonald’s provides reasonable accommodations to qualified individuals with disabilities as part of the application or hiring process or to perform the essential functions of their job. If you need assistance accessing or reading this job posting or otherwise feel you need an accommodation during the application or hiring process, please contact mcdhrbenefits@us.mcd.com. Reasonable accommodations will be determined on a case‑by‑case basis.
McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Nothing in this job posting or description should be construed as an offer or guarantee of employment.
Requisition ID 4303
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  • Chicago, Illinois, United States

Sprachkenntnisse

  • English
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