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Poshmark is seeking a data engineer to scale its Datalake and ensure real-time access to quality data for stakeholders. You will design and maintain large-scale batch and streaming pipelines using Spark, Flink, and AWS, collaborating with Data Science and Platform Engineering teams.
Ideal candidates have 3+ years in software engineering with 2+ years in data engineering, strong problem solving, and hands-on experience with Hadoop, Spark, Kafka, and Redshift. On-site in Redwood City, CA.
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.
The Data Engineering team at Poshmark is looking for an experienced software engineer to scale Datalake, ensuring real-time access to quality data for all the stakeholders. The role provides opportunity to showcase in-depth software development skills to build and maintain real-time and batch data pipelines with a focus on scalability and optimizations while collaborating with Data Science, Analytics, and Platform Engineering teams to build tools to access petabyte scale data.
Poshmark