Resume and JobRESUME AND JOB
McDonald's logo

Tech Platform Engineer III Careers at McDonald's - Chicago, IL | Apply Now!

McDonald's

Tech Platform Engineer III Careers at McDonald's - Chicago, IL | Apply Now!

full-timePosted: Feb 10, 2026

Job Description

Tech Platform Engineer III at McDonald's | GCP Data Engineering Careers

Tech Platform Engineer III Careers at McDonald's - Chicago, IL | Apply Now!

Join McDonald's Global Technology team as a Tech Platform Engineer III and power the future of the world's leading omni-channel restaurant brand. With our Accelerating the Arches strategy focusing on Delivery, Digital, and Drive Thru, we're building cutting-edge GCP-based data platforms that serve 65M+ customers daily.

Why Join McDonald's as a Tech Platform Engineer III?

McDonald's isn't just fast food—it's a technology powerhouse. Our Global Technology team is at the forefront of AI, robotics, and digital transformation. As a Tech Platform Engineer III, you'll design and deliver scalable data platforms that enable analytics, machine learning, and GenAI initiatives across our 25,000+ restaurants worldwide.

This senior-level role offers the perfect blend of hands-on engineering and strategic platform design. Work with GCP's full suite of data services while collaborating with diverse teams driving real business impact.

Key Responsibilities: Tech Platform Engineer III at McDonald's

  1. Platform Solution Design: Architect scalable, secure GCP data platform components optimized for cost and performance.
  2. Data Pipeline Development: Build robust ETL/ELT pipelines using Dataflow, Pub/Sub, and dbt for batch and streaming workloads.
  3. AI Platform Enablement: Implement features supporting GenAI, LLMs, and agentic AI including monitoring and automation.
  4. Event Streaming Architecture: Design real-time data integration patterns with Kafka, Pub/Sub, and Apache Beam.
  5. Infrastructure Automation: Leverage Terraform and Cloud Build for Infrastructure as Code deployments.
  6. Performance Optimization: Tune BigQuery queries, Dataflow jobs, and platform services for enterprise scale.
  7. Cross-Team Collaboration: Partner with data scientists, ML engineers, and product teams to deliver end-to-end solutions.
  8. Platform Governance: Establish standards for data quality, security, and compliance across analytics workloads.
  9. Cost Management: Implement FinOps practices and cloud cost optimization strategies.
  10. Observability & Monitoring: Build comprehensive monitoring solutions using Cloud Operations Suite.

Required Skills & Qualifications

To succeed as a McDonald's Tech Platform Engineer III, you'll need:

  • 5+ years of data/platform engineering experience with GCP expertise
  • Deep knowledge of GCP data services (Dataflow, BigQuery, Pub/Sub, Dataproc)
  • Proven ETL/ELT pipeline development with dbt, Airflow, or Spark
  • Event streaming experience with Kafka, Pub/Sub, or Kinesis
  • Strong Python/Java programming for data processing
  • Infrastructure as Code with Terraform or similar
  • Experience with containerization (Kubernetes, Docker)
  • Understanding of AI/ML platform requirements

McDonald's Technology Stack for Data Platform Engineers

Work with industry-leading technologies:

  • Cloud: Google Cloud Platform (primary), multi-cloud experience
  • Data Processing: Dataflow, Dataproc, BigQuery
  • Streaming: Pub/Sub, Kafka, Apache Beam
  • Orchestration: Cloud Composer (Airflow), Kubeflow
  • Transformation: dbt, SQL
  • CI/CD: Cloud Build, GitHub Actions
  • IaC: Terraform, Deployment Manager

Career Growth & Development

McDonald's invests heavily in employee growth:

  • Google Cloud certification reimbursement (Professional Data Engineer, etc.)
  • Annual tech conference budget
  • Mentorship programs with senior architects
  • Clear promotion paths to Principal Engineer and Architect roles
  • Internal tech talks and hackathons

Work-Life Balance & Culture

Enjoy flexible hybrid work, unlimited PTO, free meals, and a collaborative culture where your work directly impacts millions of customers daily. Our Chicago headquarters offers modern workspaces with on-site gyms and restaurants.

Salary & Compensation: Tech Platform Engineer III

Competitive salary range of $145,000 - $185,000 base, plus performance bonuses, stock options, and comprehensive benefits. Total compensation often exceeds $220K for top performers.

Ready to Accelerate the Arches?

Apply now to join McDonald's Global Technology and build data platforms powering the future of fast food. Check our Technical Blog to see how our engineers are transforming the industry.

Recent McDonald's Tech Blog Highlights

  • GCP migration serving 65M daily transactions
  • Real-time personalization at scale
  • AI-driven menu optimization
  • Global data platform architecture

McDonald's is an equal opportunity employer committed to diversity and inclusion.

Locations

  • Chicago, Illinois, USA
  • Remote, Illinois, USA (Remote)
  • New York, New York, USA (Remote)
  • San Francisco, California, USA (Remote)

Salary

Estimated Salary Rangehigh confidence

152,250 - 203,500 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Google Cloud Platform (GCP)intermediate
  • Data Pipeline Engineeringintermediate
  • ETL/ELT Developmentintermediate
  • Apache Kafka & Pub/Subintermediate
  • Apache Airflow Orchestrationintermediate
  • dbt Data Transformationintermediate
  • Python Programmingintermediate
  • Terraform Infrastructure as Codeintermediate
  • AI/ML Platform Integrationintermediate
  • Dataflow & BigQueryintermediate
  • Kubernetes & Dockerintermediate
  • SQL & NoSQL Databasesintermediate
  • Event-Driven Architectureintermediate
  • CI/CD Pipelinesintermediate
  • Cloud Cost Optimizationintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred) (experience)
  • 5+ years of experience in data engineering or platform engineering roles (experience)
  • Deep expertise in GCP services including Dataflow, Pub/Sub, BigQuery, and Dataproc (experience)
  • Proven track record building scalable ETL/ELT pipelines with dbt, Airflow, or similar (experience)
  • Hands-on experience with event streaming technologies (Kafka, Pub/Sub, Kinesis) (experience)
  • Strong programming skills in Python, Java, or Scala for data processing (experience)
  • Experience implementing Infrastructure as Code using Terraform or Cloud Deployment Manager (experience)
  • Familiarity with AI/ML workloads and GenAI platform requirements (experience)
  • Multi-cloud experience (AWS, Azure) highly desirable (experience)
  • Excellent collaboration skills across engineering, architecture, and product teams (experience)

Responsibilities

  • Design and implement scalable GCP-based data platform components for analytics and AI workloads
  • Build and optimize data pipelines using Dataflow, Pub/Sub, and dbt for real-time processing
  • Develop platform services enabling AI/ML features like monitoring, alerting, and automation
  • Apply ETL/ELT patterns and event streaming architectures for reliable data integration
  • Collaborate with data product teams to deliver consumption-ready analytics layers
  • Conduct design reviews and enforce platform engineering best practices
  • Implement Infrastructure as Code (IaC) for reproducible, automated deployments
  • Optimize cloud costs through resource tagging, rightsizing, and FinOps practices
  • Support multi-cloud strategies and hybrid data architectures
  • Monitor platform performance and implement observability with Cloud Monitoring and Logging
  • Contribute to platform documentation, runbooks, and knowledge sharing
  • Troubleshoot complex data pipeline issues and implement robust error handling

Benefits

  • general: Competitive salary with annual performance bonuses
  • general: Comprehensive medical, dental, and vision insurance
  • general: 401(k) retirement plan with generous company match
  • general: Paid time off including vacation, sick days, and holidays
  • general: Flexible work arrangements including remote options
  • general: Professional development budget for certifications and conferences
  • general: Tuition reimbursement for advanced degrees
  • general: Employee stock purchase plan
  • general: Free McDonald's meals and product discounts
  • general: Wellness programs including gym membership reimbursement
  • general: Parental leave and family benefits
  • general: Mental health support and EAP services

Target Your Resume for "Tech Platform Engineer III Careers at McDonald's - Chicago, IL | Apply Now!" , McDonald's

Get personalized recommendations to optimize your resume specifically for Tech Platform Engineer III Careers at McDonald's - Chicago, IL | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Tech Platform Engineer III Careers at McDonald's - Chicago, IL | Apply Now!" , McDonald's

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

GCPData EngineeringPlatform EngineeringAI/MLCloud ArchitectureETL/ELTStreaming DataTerraformBigQuerydbtMcDonald's TechTech Platform Engineer III McDonald'sGCP data engineer jobsMcDonald's data platform careersGoogle Cloud Platform engineerDataflow pipeline developerPub/Sub Kafka streaming jobsdbt ETL engineer McDonald'sAI platform engineer careersSenior data engineer ChicagoRemote GCP data engineering jobsMcDonald's Global Technology careersBigQuery optimization specialistTerraform IaC data platformEnterprise data pipeline engineerGenAI platform engineering jobsMcDonald's tech jobs IllinoisCloud data architect McDonald'sReal-time data streaming engineerFinOps cloud cost optimizationKubernetes data platform engineerMcDonald's Accelerating the Arches techSenior GCP engineer salaryFood ServiceRestaurantRetail

Answer 10 quick questions to check your fit for Tech Platform Engineer III Careers at McDonald's - Chicago, IL | Apply Now! @ McDonald's.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.

McDonald's logo

Tech Platform Engineer III Careers at McDonald's - Chicago, IL | Apply Now!

McDonald's

Tech Platform Engineer III Careers at McDonald's - Chicago, IL | Apply Now!

full-timePosted: Feb 10, 2026

Job Description

Tech Platform Engineer III at McDonald's | GCP Data Engineering Careers

Tech Platform Engineer III Careers at McDonald's - Chicago, IL | Apply Now!

Join McDonald's Global Technology team as a Tech Platform Engineer III and power the future of the world's leading omni-channel restaurant brand. With our Accelerating the Arches strategy focusing on Delivery, Digital, and Drive Thru, we're building cutting-edge GCP-based data platforms that serve 65M+ customers daily.

Why Join McDonald's as a Tech Platform Engineer III?

McDonald's isn't just fast food—it's a technology powerhouse. Our Global Technology team is at the forefront of AI, robotics, and digital transformation. As a Tech Platform Engineer III, you'll design and deliver scalable data platforms that enable analytics, machine learning, and GenAI initiatives across our 25,000+ restaurants worldwide.

This senior-level role offers the perfect blend of hands-on engineering and strategic platform design. Work with GCP's full suite of data services while collaborating with diverse teams driving real business impact.

Key Responsibilities: Tech Platform Engineer III at McDonald's

  1. Platform Solution Design: Architect scalable, secure GCP data platform components optimized for cost and performance.
  2. Data Pipeline Development: Build robust ETL/ELT pipelines using Dataflow, Pub/Sub, and dbt for batch and streaming workloads.
  3. AI Platform Enablement: Implement features supporting GenAI, LLMs, and agentic AI including monitoring and automation.
  4. Event Streaming Architecture: Design real-time data integration patterns with Kafka, Pub/Sub, and Apache Beam.
  5. Infrastructure Automation: Leverage Terraform and Cloud Build for Infrastructure as Code deployments.
  6. Performance Optimization: Tune BigQuery queries, Dataflow jobs, and platform services for enterprise scale.
  7. Cross-Team Collaboration: Partner with data scientists, ML engineers, and product teams to deliver end-to-end solutions.
  8. Platform Governance: Establish standards for data quality, security, and compliance across analytics workloads.
  9. Cost Management: Implement FinOps practices and cloud cost optimization strategies.
  10. Observability & Monitoring: Build comprehensive monitoring solutions using Cloud Operations Suite.

Required Skills & Qualifications

To succeed as a McDonald's Tech Platform Engineer III, you'll need:

  • 5+ years of data/platform engineering experience with GCP expertise
  • Deep knowledge of GCP data services (Dataflow, BigQuery, Pub/Sub, Dataproc)
  • Proven ETL/ELT pipeline development with dbt, Airflow, or Spark
  • Event streaming experience with Kafka, Pub/Sub, or Kinesis
  • Strong Python/Java programming for data processing
  • Infrastructure as Code with Terraform or similar
  • Experience with containerization (Kubernetes, Docker)
  • Understanding of AI/ML platform requirements

McDonald's Technology Stack for Data Platform Engineers

Work with industry-leading technologies:

  • Cloud: Google Cloud Platform (primary), multi-cloud experience
  • Data Processing: Dataflow, Dataproc, BigQuery
  • Streaming: Pub/Sub, Kafka, Apache Beam
  • Orchestration: Cloud Composer (Airflow), Kubeflow
  • Transformation: dbt, SQL
  • CI/CD: Cloud Build, GitHub Actions
  • IaC: Terraform, Deployment Manager

Career Growth & Development

McDonald's invests heavily in employee growth:

  • Google Cloud certification reimbursement (Professional Data Engineer, etc.)
  • Annual tech conference budget
  • Mentorship programs with senior architects
  • Clear promotion paths to Principal Engineer and Architect roles
  • Internal tech talks and hackathons

Work-Life Balance & Culture

Enjoy flexible hybrid work, unlimited PTO, free meals, and a collaborative culture where your work directly impacts millions of customers daily. Our Chicago headquarters offers modern workspaces with on-site gyms and restaurants.

Salary & Compensation: Tech Platform Engineer III

Competitive salary range of $145,000 - $185,000 base, plus performance bonuses, stock options, and comprehensive benefits. Total compensation often exceeds $220K for top performers.

Ready to Accelerate the Arches?

Apply now to join McDonald's Global Technology and build data platforms powering the future of fast food. Check our Technical Blog to see how our engineers are transforming the industry.

Recent McDonald's Tech Blog Highlights

  • GCP migration serving 65M daily transactions
  • Real-time personalization at scale
  • AI-driven menu optimization
  • Global data platform architecture

McDonald's is an equal opportunity employer committed to diversity and inclusion.

Locations

  • Chicago, Illinois, USA
  • Remote, Illinois, USA (Remote)
  • New York, New York, USA (Remote)
  • San Francisco, California, USA (Remote)

Salary

Estimated Salary Rangehigh confidence

152,250 - 203,500 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Google Cloud Platform (GCP)intermediate
  • Data Pipeline Engineeringintermediate
  • ETL/ELT Developmentintermediate
  • Apache Kafka & Pub/Subintermediate
  • Apache Airflow Orchestrationintermediate
  • dbt Data Transformationintermediate
  • Python Programmingintermediate
  • Terraform Infrastructure as Codeintermediate
  • AI/ML Platform Integrationintermediate
  • Dataflow & BigQueryintermediate
  • Kubernetes & Dockerintermediate
  • SQL & NoSQL Databasesintermediate
  • Event-Driven Architectureintermediate
  • CI/CD Pipelinesintermediate
  • Cloud Cost Optimizationintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred) (experience)
  • 5+ years of experience in data engineering or platform engineering roles (experience)
  • Deep expertise in GCP services including Dataflow, Pub/Sub, BigQuery, and Dataproc (experience)
  • Proven track record building scalable ETL/ELT pipelines with dbt, Airflow, or similar (experience)
  • Hands-on experience with event streaming technologies (Kafka, Pub/Sub, Kinesis) (experience)
  • Strong programming skills in Python, Java, or Scala for data processing (experience)
  • Experience implementing Infrastructure as Code using Terraform or Cloud Deployment Manager (experience)
  • Familiarity with AI/ML workloads and GenAI platform requirements (experience)
  • Multi-cloud experience (AWS, Azure) highly desirable (experience)
  • Excellent collaboration skills across engineering, architecture, and product teams (experience)

Responsibilities

  • Design and implement scalable GCP-based data platform components for analytics and AI workloads
  • Build and optimize data pipelines using Dataflow, Pub/Sub, and dbt for real-time processing
  • Develop platform services enabling AI/ML features like monitoring, alerting, and automation
  • Apply ETL/ELT patterns and event streaming architectures for reliable data integration
  • Collaborate with data product teams to deliver consumption-ready analytics layers
  • Conduct design reviews and enforce platform engineering best practices
  • Implement Infrastructure as Code (IaC) for reproducible, automated deployments
  • Optimize cloud costs through resource tagging, rightsizing, and FinOps practices
  • Support multi-cloud strategies and hybrid data architectures
  • Monitor platform performance and implement observability with Cloud Monitoring and Logging
  • Contribute to platform documentation, runbooks, and knowledge sharing
  • Troubleshoot complex data pipeline issues and implement robust error handling

Benefits

  • general: Competitive salary with annual performance bonuses
  • general: Comprehensive medical, dental, and vision insurance
  • general: 401(k) retirement plan with generous company match
  • general: Paid time off including vacation, sick days, and holidays
  • general: Flexible work arrangements including remote options
  • general: Professional development budget for certifications and conferences
  • general: Tuition reimbursement for advanced degrees
  • general: Employee stock purchase plan
  • general: Free McDonald's meals and product discounts
  • general: Wellness programs including gym membership reimbursement
  • general: Parental leave and family benefits
  • general: Mental health support and EAP services

Target Your Resume for "Tech Platform Engineer III Careers at McDonald's - Chicago, IL | Apply Now!" , McDonald's

Get personalized recommendations to optimize your resume specifically for Tech Platform Engineer III Careers at McDonald's - Chicago, IL | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Tech Platform Engineer III Careers at McDonald's - Chicago, IL | Apply Now!" , McDonald's

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

GCPData EngineeringPlatform EngineeringAI/MLCloud ArchitectureETL/ELTStreaming DataTerraformBigQuerydbtMcDonald's TechTech Platform Engineer III McDonald'sGCP data engineer jobsMcDonald's data platform careersGoogle Cloud Platform engineerDataflow pipeline developerPub/Sub Kafka streaming jobsdbt ETL engineer McDonald'sAI platform engineer careersSenior data engineer ChicagoRemote GCP data engineering jobsMcDonald's Global Technology careersBigQuery optimization specialistTerraform IaC data platformEnterprise data pipeline engineerGenAI platform engineering jobsMcDonald's tech jobs IllinoisCloud data architect McDonald'sReal-time data streaming engineerFinOps cloud cost optimizationKubernetes data platform engineerMcDonald's Accelerating the Arches techSenior GCP engineer salaryFood ServiceRestaurantRetail

Answer 10 quick questions to check your fit for Tech Platform Engineer III Careers at McDonald's - Chicago, IL | Apply Now! @ McDonald's.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.