Staff Software Engineer, Batch Processing Platform

Seattle, WA, US; Remote, USRemote 4d ago

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 Staff Software Engineer to help us build a high-performance, efficient, and easy to use batch processing platform and infrastructure at Pinterest. You’ll be working on some of the most exciting big data open source technologies such as Spark, Presto/Trino, Iceberg, etc. at the scale of hundreds of petabytes of data to bring everyone the inspiration to create a life they love.

What you’ll do:

Design, implement, and optimize Pinterest’s batch processing infrastructure.
Collaborate with cross-functional teams to understand data needs.
Lead technical projects and initiatives, driving them to completion.
Mentor and guide junior engineers on best practices and architecture.
Ensure the reliability, scalability, and efficiency of data systems.

What we’re looking for:

6+ years of experience building and supporting large scalable big data infrastructure/platforms
Extensive experience with big data query technologies such as Spark SQL or Presto/Trino.
Proven skills in designing and maintaining scalable data infrastructure.
Proficiency in programming languages

Apply now

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