Principal Big Data Platform Engineer — Remote + Equity

JobCubby; San Francisco, Northern (CA, KY); Hybrid; USD 243,000 - 500,000; Full time

Job summary

Pinterest in the United States is seeking a Principal Software Engineer to lead the next generation of data infrastructure for big data and AI applications. You will drive strategy, build scalable frameworks, and partner with internal teams to solve critical data challenges at exabyte scale.

You’ll mentor engineers, shape the technical roadmap, and foster reliability and performance. The role supports flexible in-person collaboration in the SF Bay Area and is eligible for equity.

Qualifications

• 12+ years of industry experience with a proven track record of technical excellence.
• 8+ years building and supporting large-scale Kubernetes or big data platforms.
• Deep knowledge of big data / ML technologies (e.g. Flink, Spark, Presto, Kubernetes, Ray, PyTorch/TensorFlow).
• Proficiency in Java, Go, Scala, or Python.
• Experience with Kubernetes and AWS technologies.
• Bachelor’s degree in Computer Science or related field, or equivalent experience.

Responsibilities

• Lead strategy and technical direction of Pinterest's data infrastructure for big data and AI applications.
• Build and scale data infra frameworks for petabytes-scale datasets, including compute engines, job management, resource management, scheduling and remote shuffling.
• Collaborate with internal customers on critical business use cases that rely on big data.
• Provide thought leadership to the entire company on how data should be processed and stored more reliably, quickly and efficiently at scale.
• Contribute to the team’s technical vision and long-term roadmap.

Skills

Leadership & mentorship

Programming languages (Java, Go, Scala

Cross-functional collaboration

Education

Bachelor’s degree in Computer Science or related field

Tools

Kubernetes

AWS

Flink/Spark/Presto

Job description

Pinterest in the United States is seeking a Principal Software Engineer to lead the next generation of data infrastructure for big data and AI applications. You will drive strategy, build scalable frameworks, and partner with internal teams to solve critical data challenges at exabyte scale.

You’ll mentor engineers, shape the technical roadmap, and foster reliability and performance. The role supports flexible in-person collaboration in the SF Bay Area and is eligible for equity.