Staff Software Engineer (Big Data Storage)

Pinterest • Digital Storage • Bachelor's Degree • Python • Java • Scala • 3 days ago

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Salary

$177k – $365k per year

Location

Remote (United States)

Seniority

Staff · 8+ years exp

Employment

Full-Time

Confirmed on the employer's own hiring board on Oct 10, 2026. First seen by Alion on Sep 26, 2026. Pinterest scores B on the Alion truth index.

Overview

Company

Impact

Profile match

Pinterest is a visual discovery and social platform where users save and share images and ideas, headquartered in San Francisco, California.

pinterest.co.uk • New York • San Francisco • Los Angeles • Berlin • Chicago • Video & Photo Sharing • Social Networks • 1001-5000 employees

Tech stack of Pinterest

Join Pinterest as a Staff Software Engineer and help build the next generation of our big data storage platform. You will work with exciting open source technologies, design and build highly scalable storage systems, and collaborate with teams across data, ML/AI, analytics, and infrastructure. You should have 8+ years of experience in designing and building large-scale production distributed systems, experience with big data technologies, and proficiency in programming languages like Java, Scala, or Python.

Missions

Design, implement, and optimize Pinterest’s exabyte-scale data lake storage platform, leading complex technical projects and initiatives.
Collaborate with stakeholders and partner teams across the organization to design storage and metadata layer technologies that unlock big data and ML/AI innovations.
Engage with and contribute to open source communities such as Apache Iceberg, Spark, and Flink to help address Pinterest’s scaling challenges.

Profil recherché

- 8+ years of relevant industry experience designing and building large-scale production distributed systems

- Experience with big data technologies such as Apache Iceberg, Spark, Flink, Presto/Trino, Hive, or similar systems

- Proven ability to lead complex technical initiatives and influence architecture across teams

- Strong experience designing and maintaining scalable storage, metadata, or data lake infrastructure

- Experience building storage capabilities for large-scale ML/AI or analytics workloads, including high-throughput data access, schema evolution, and large-scale column backfills

- Proficiency in programming languages like Java, Scala, or Python

- Strong collaboration, communication, and problem-solving skills, with a drive for technical excellence and innovation

- Deep knowledge with building distributed systems, data storage systems, and production infrastructure

- Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience

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