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Principal Engineer, Big Data Platform

Pinterest
Location
San Francisco, CA, US; Remote, US
Posted
17 days ago
Department
Data Engineering
What they actually want (must-haves)
  • 12+ years of industry experience with a proven track record of technical excellence
  • 8+ years of experience building and supporting large scalable Kubernetes or big data platforms
  • Deep knowledge of big data / ML technologies (e.g. Flink, Spark, Presto, Kubernetes, Ray, PyTorch/TensorFlow)
  • Proficiency in one or more programming languages (Java, Go, Scala, Python)
  • Experience with Kubernetes and AWS technologies
  • Exceptional collaboration skills with cross-functional partners
What the job really is

As a Principal Engineer for the Big Data Platform at Pinterest, you will lead the strategy and technical direction of data infrastructure that supports big data and AI applications. Your role involves building scalable frameworks for processing large datasets, collaborating with internal teams on business use cases, and providing thought leadership on data processing and storage solutions. You will work with cutting-edge technologies like Flink, Spark, and Kubernetes at an exabyte scale.

Benefits
  • Base salary range of $242,634 — $499,541 USD
  • Eligible for equity
Things to weigh
  • In-office collaboration required 1-2 times per quarter, allowing for remote work otherwise
  • No relocation assistance provided
  • Salary range is wide, indicating potential for negotiation based on various factors
Job score3/5
Benefits1/5
Freshness4/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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