This role pays less than
59%
of similar roles. Most pay
$135,000–$212,250
— the shaded band above.
At the midpoint, this role pays about
$155k
versus about
$174k
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
74 open roles
on FindRole.
Listed pay typically runs
$138,207–$172,758
across 71 roles with salary data.
As a Data Platform Engineer at our company, you will join a dynamic team focused on building and delivering a modern Google Cloud Platform (GCP)-based data and analytics platform. Your responsibilities include designing and implementing scalable, secure, and cost-effective GCP-based data platform components, such as data pipelines and ingestion frameworks, to support analytics and machine learning workloads. You will also collaborate with engineering teams to ensure the platform is ready for emerging AI technologies like GenAI and LLMs by integrating features that enable monitoring, alerting, automation, and infrastructure-as-code. Additionally, you will apply established data integration patterns using ETL/ELT, event streaming, and real-time processing technologies such as Dataflow, Pub/Sub, dbt, or Kafka to ensure performant and reliable pipelines. You must have hands-on experience with GCP data services like BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Run, and Kubernetes Engine, along with proficiency in CI/CD, Terraform, automated testing, and containerized workloads. This role requires strong collaboration skills to partner effectively across various engineering teams and ensure cohesive delivery of platform capabilities that meet both business and technical requirements.