LandEarly
Synced from Greenhouse · 13h ago

Staff Software Engineer, Big Data Platform

PinterestPalo Alto; Seattle, WA; New York, NY; San Francisco, CA, US; Remote, USPosted Aug 25, 2026Fresh
Data Platform EngineerRemoteStaff
Apply now - freeSave & get alerts

Mirrored from Pinterest's own Greenhouse careers system · refreshed hourly

216
Other open Pinterest roles
13h ago
Posted
Greenhouse
Applicant system
Job descriptionReq 7494956

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 senior staff 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:

  • 10+ years of industry experience with a proven track record of technical excellence
  • 5+ 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.

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
 
By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.
View original posting on Greenhouse

What applying to Pinterest usually looks like

Based on publicly available information, candidates applying through greenhouse for roles at Pinterest can generally expect an application flow typical of this ATS, starting with an online submission and resume screen, followed by recruiter outreach if there is interest. The process may include multiple stages, such as an initial phone or video screen, followed by technical or role-specific assessments and interviews with team members or hiring managers, depending on the position applied for. Given the wide range of open roles, from engineering to design to sales, the specific format and focus of interviews commonly vary by function. Response times vary and communication may occur via email or through the greenhouse candidate portal. Candidates should generally prepare materials relevant to the role and be ready for both behavioral and technical discussions where applicable.

Based on publicly available information. LandEarly does not verify interview process details.

Land this one early - before the req fills.

LandEarly tailors your resume and screening answers to each posting, submits within minutes of a role going live, and tracks every application in one place.

Free to start · No credit card · Cancel anytime

Get started freeSee how it works

Keep exploring

What this role pays, where else it is open, and how to write the application.

Data Platform Engineer JobsPinterest JobsDatabase Administrator JobsData Platform Engineer salariesRemote data platform engineer jobsEngineering hiring reportSoftware Engineer JobsFrontend Engineer JobsBackend Engineer JobsAll companiesState of the job market
Staff Software Engineer, Big Data Platform
Pinterest · Palo Alto; Seattle, WA; New York, NY; San Francisco, CA, US; Remote, US
Apply