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Zigsaw

Staff Software Engineer, Big Data Storage

Zigsaw

Staff Software Engineer for Pinterest's big data storage platform. Leading technical initiatives using open source technologies at exabyte scale.

Posted 6/6/2026full-timePalo Alto • California • 🇺🇸 United StatesLead💰 $177,185 - $364,795 per yearWebsite

Tech Stack

Tools & technologies
ApacheDistributed SystemsJavaOpen SourcePythonScalaSpark

About the role

Key responsibilities & impact
  • Design, implement, and optimize Pinterest’s exabyte-scale data lake storage platform.
  • Lead complex technical projects and initiatives for data lake storage and metadata management, driving them from architecture through execution.
  • Collaborate with stakeholders and partner teams across the organization to design storage and metadata layer technologies that unlock big data and ML/AI innovations.
  • Build storage capabilities that efficiently support large-scale ML/AI workloads, including high-throughput data access, schema evolution, and large-scale column backfills.
  • Shape the long-term technical direction for scalable, reliable, and efficient big data storage systems.
  • Engage with and contribute to open source communities such as Apache Iceberg, Spark, and Flink to help address Pinterest’s scaling challenges.

Requirements

What you’ll need
  • 8+ years of relevant industry experience designing and building large-scale production distributed systems.
  • 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.
  • Deep knowledge with building distributed systems, data storage systems, and production infrastructure.
  • Experience with big data technologies such as Apache Iceberg, Spark, Flink, Presto/Trino, Hive, or similar systems.
  • Proficiency in programming languages like Java, Scala, or Python.
  • Proven ability to lead complex technical initiatives and influence architecture across teams.
  • Strong collaboration, communication, and problem-solving skills, with a drive for technical excellence and innovation.
  • Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience

Benefits

Comp & perks
  • Information regarding the culture at Pinterest and benefits available for this position can be found here.

ATS Keywords

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Hard Skills & Tools
data lake storagemetadata managementlarge-scale ML/AI workloadshigh-throughput data accessschema evolutionlarge-scale column backfillsdistributed systemsdata storage systemsbig data technologiesprogramming languages
Soft Skills
leadershipcollaborationcommunicationproblem-solvingtechnical excellenceinnovation