Principal Engineer (Big Data Platform)
- United States
- Lead/Staff
- 12+ years
- Bachelor's degree
- Posted
Skills
Required
- Kubernetes / big data platform
- programming languages
- Java
- Go
- Scala
- Python
- AWS
Preferred
- big data / ML
- process petabytes-scale datasets
- Flink
- Spark
- Presto
- Ray
- PyTorch / TensorFlow
Join Pinterest as a Principal Engineer to lead the development of our next-generation data infrastructure. You will work with cutting-edge big data and AI technologies, and have a significant impact on how data is processed and stored at scale.
Lead the strategy and technical direction of Pinterest’s data infrastructure for big data and AI applications.
USD 242,634 - 499,541
Responsibilities
- Build and scale data infrastructure frameworks and infrastructure to process petabytes-scale datasets.
- Provide thought leadership to the entire company on how data should be processed and stored more reliably, quickly and efficiently at scale.
- Deep knowledge of big data / ML technologies (e.g. Flink, Spark, Presto, Kubernetes, Ray, PyTorch/TensorFlow)
Requirements
- Exceptional collaboration skills with cross-functional partners, with the ability to navigate ambiguity, make tradeoffs, and keep stakeholders aligned on priorities and progress
- 12+ years of industry experience with a proven track record of technical excellence
- Proficiency in one or more programming languages (Java, Go, Scala, Python)
- 8+ years of experience of building and support large scalable Kubernetes or big data platform
- Bachelor’s degree in Computer Science, a related technical field, or equivalent experience
- Experiences in Kubernetes and AWS technologies
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