Principal Engineer, Big Data Platform
San Francisco, CA, US; Remote, US
- Pay
- Salary not listed in the saved posting
- Work setup
Remote stated — work setup source
Listed location: San Francisco, CA, US; Remote, US
Read the full posting- Employment
- Unconfirmed
What you’ll work on
Full postingLead the strategy and technical direction of Pinterest’s data infrastructure for big data and AI applications
Work with internal customers on critical business use cases that rely on big data
From the employer’s posting
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
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
Tools in this posting
- Go
- Java
- Scala
- AWS
- Kubernetes
- Spark
- Python
- PyTorch
- TensorFlow
Source — Tool mentions in context
- 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
- 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.
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:
- 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)
- 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)
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.
In the employer’s words · Read in context
Job description
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 isn't just a feature, it's 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 we're 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.
#LI-REMOTE
#LI-CL5
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:
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on www.pinterestcareers.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
San Francisco, CA, US; Remote, US
- 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
More source context
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-REMOTE #LI-CL5
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Sep 2, 2026
- Recorded sightings
- 22
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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