Staff Software Engineer, Big Data Storage @Pinterest

Overview

Pinterest is seeking a Staff Software Engineer to help build its next generation big data storage platform. This role will involve working with big data open source technologies, particularly Apache Iceberg, at exabyte scale to enhance the data infrastructure that supports users in discovering and planning their interests.

Key Responsibilities

• Design, implement, and optimize Pinterest’s exabyte-scale data lake storage platform.
• Lead complex technical projects for data lake storage and metadata management from architecture through execution.
• Collaborate with teams to design technologies that unlock innovations in big data and ML/AI.
• Build efficient storage capabilities for large-scale ML/AI workloads, including high-throughput data access.
• Shape the long-term technical direction for scalable big data storage systems.
• Engage with open source communities like Apache Iceberg, Spark, and Flink.

Requirements

• 8+ years of experience in designing and building large-scale production distributed systems.
• Strong experience with scalable storage, metadata, or data lake infrastructure.
• Familiarity with big data technologies such as Apache Iceberg, Spark, Flink, Presto/Trino, Hive.
• Proficiency in programming languages like Java, Scala, or Python.
• Strong collaboration, communication, and problem-solving skills.
• Bachelor’s degree in Computer Science or equivalent experience.

Benefits

This position offers a competitive salary range of $177,185 — $364,795 USD, along with equity options. For more details about the culture at Pinterest and benefits available, please refer to the company's resources.

Location

This is a remote role with the requirement to be in the office for in-person collaboration 1-2 times per quarter. Candidates must be located within the United States.

How to Apply

To apply for this position, please visit the Pinterest career page and submit your application.

Deadline

No specific deadline is mentioned.