Principal Engineer, Big Data Platform (Remote)Principal Engineer, Big Data Platform (Remote)
PinterestStraight from Pinterest’s careers page. Apply on the company site — no recruiter, no middleman.
Principal Engineer, Big Data Platform
Location: San Francisco, CA, US; Remote, US
Department: Data Engineering
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isnt just a feature, its a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
We’re looking for a principal software engineer to lead the next generation of data infrastructure at Pinterest which powers mission critical big data and AI applications. You’ll be working on some of the most exciting big data and AI open source technologies (Flink, Spark, Kubernetes, etc.), at the scale of exabytes of data to help Pinners discover and do what they love.
What you’ll do:
- Lead the strategy and technical direction of Pinterest’s data infrastructure for big data and AI applications
- Build and scale data infra frameworks and infrastructure to process petabytes-scale datasets, including compute engines, job management, resource management, scheduling and remote shuffling
- Work 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
What we’re looking for:
- 12+ years of industry experience with a proven track record of technical excellence
- 8+ years of experience of building and support large scalable Kubernetes or big data platform
- 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)
- Experiences in Kubernetes and AWS technologies
- Exceptional collaboration skills with cross-functional partners, with the ability to navigate ambiguity, make tradeoffs, and keep stakeholders aligned on priorities and progress.
- Bachelor’s degree in Computer Science, a related technical field, or equivalent experience.
In-Office Requirement Statement:
- We let the type of work you do guide the collaboration style. That means were not always working in an office, but we continue to gather for key moments of collaboration and connection.
- This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
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At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
Our Commitment to Inclusion:
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