Quick summary
- Work type
- Remote
- Location
- Remote
- Salary
- $242,634–$499,541 / yr
- Posted
- 7 days ago
- Freshness
- Confirmed live yesterday
Market check
Salary context
How this pay compares to similar roles
This role pays more than 99% of similar roles. Most pay $169,550–$231,000 — the shaded band above. At the midpoint, this role pays about $371k versus about $200k for comparable roles.
Based on 240 similar postings.
Employer
About Pinterest
Pinterest is a visual discovery and inspiration platform where people find ideas for home, style, recipes, and more. It serves hundreds of millions of users worldwide through its image and video pinboard product.
Pinterest currently has 82 open roles on FindRole.
Listed pay typically runs $164,695–$337,990 across 82 roles with salary data.
Most-posted roles
- Software Engineer 18
- Machine Learning Engineer 11
- Data Scientist 8
- Technical Program Manager 6
- Product Manager 5
At a glance
TL;DR · Principal Engineer, Big Data Platform
As a Principal Engineer, Big Data Platform, you will lead the strategy and technical direction of data infrastructure for mission-critical big data and AI applications. You will build and scale infrastructure frameworks to process petabytes-scale datasets, including compute engines, job management, resource management, scheduling, and remote shuffling. Collaborating with internal customers on critical business use cases, you will provide thought leadership on reliable, fast, and efficient data processing and storage at scale while contributing to the long-term technical roadmap. The role requires expertise in big data and machine learning technologies including Flink, Spark, Presto, Kubernetes, Ray, PyTorch, and TensorFlow. You must be proficient in Java, Go, Scala, or Python, with experience in AWS technologies. This role solves complex infrastructure challenges for processing exabytes of data to power core platform features.
What does a Engineer earn in Remote?
Median $189520 from 49 postings across 15 companies.
Skills
What you'll do
- Lead the strategy and technical direction for data infrastructure supporting big data and AI applications.
- Build and scale infrastructure frameworks to process petabytes of data including compute engines and job management.
- Manage resource management, scheduling, and remote shuffling for large-scale data processing.
- Partner with internal customers to solve critical business use cases involving big data.
- Provide company-wide thought leadership on reliable, fast, and efficient data storage and processing methods.
- Contribute to the team's technical vision and long-term roadmap for infrastructure development.
What we're looking for
- 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 and ML technologies including Flink, Spark, Presto, Kubernetes, Ray, PyTorch, and TensorFlow.
- Proficiency in one or more programming languages such as Java, Go, Scala, or Python.
- Experience with Kubernetes and AWS technologies.
- Exceptional collaboration skills to navigate ambiguity and align cross-functional stakeholders on priorities.
- Bachelor’s degree in Computer Science, a related technical field, or equivalent experience.
- Must be a US-based applicant.
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