Poshmark is the leading fashion marketplace where style comes alive through discovery, self-expression, and human connection. Powered by a vibrant community of 165 million members, Poshmark brings real people and taste to shopping through a social experience shaped by shared discovery. Buying and selling fashion feels simple, joyful, and personal, while every item tells its own story. Poshmark empowers sellers to grow meaningful businesses, keeps fashion in circulation longer, and gives shoppers access to unique and trusted finds, from everyday pieces to one-of-a-kind vintage and luxury.
The big Data team is a central player in the Poshmark organization. Our mission is to build a world-class big data platform to bring value out of data for us and for our customers. Our goal is to democratize data, support exploding business, provide reporting and analytics self-service tools, and fuel existing and new business-critical initiatives. This is an exciting space for interns to be part of this mission
You will get exposed to different big data technologies such as Spark, Kinesis, Redshift, Mongo, Druid and Grafana
Trained in quality data sets, working with data analysts and data scientists to develop data science models.
Learning architecture and design of big data systems
Understanding of Big Data technologies like Hadoop, Hbase, Spark, Storm, Kafka, Druid, Flink etc.
Experience with SQL and NoSQL databases
Solid software development skills in Java, C, C++, or Scala
Solid understanding of data structures, algorithms, object oriented design and patterns.
Standard Requirements for All Interns
Demonstrated interest in Poshmark’s mission, community, or industry
Current or rising senior enrolled in an accredited university, or recent college graduate
Seniors should expect to graduate between Fall 2026 and Summer 2027
Strong communication, collaboration, and curiosity
Available to work a M-F 5-day work schedule between 8am-5pm
Willing to commute 5x per week to PMHQ in Redwood City, CA
• • No employment sponsorship required now or in the future