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Whatnot
Software Engineer, Data Platform
at Whatnot
2 days ago | 30 views | Be the first one to apply

Software Engineer, Data Platform

Full-time
San Francisco, North America
Per year
$158,000 To $240,000

About the company

Whatnot is a livestream shopping platform and marketplace backed by Andreessen Horowitz, Y Combinator, and CapitalG. We’re building the future of ecommerce, bringing together community, shopping and entertainment. We are committed to our values, and as a remote-first team, we operate out of hubs within the US, Canada, UK, and Germany today. We’re innovating in the fast-paced world of live auctions in categories including sports, fashion, video games, and streetwear. The platform couples rigorous seller vetting with a focus on community to create a welcoming space for buyers and sellers to share their passions with others.

Job Summary

Role

📍The Data team at Whatnot creates services that improve our core product experience and unlock business value. As an engineer, you will play a critical role in defining the technical direction and leading the development of the retrieval platform to power next-gen systems at Whatnot. You will be responsible for driving innovation, ensuring the scalability and performance of our systems, and working with a team of engineers to deliver high-quality solutions. 📍Working in a highly cross-functional role, you’ll also make key decisions about how we integrate data systems at Whatnot – and then make it happen. You’ll be positioned to align efforts to optimize other aspects of our company’s architecture, such as machine learning, real-time analytics, stream processing, and content understanding to name a few. 📍US Based: 📍Team members in this role are required to be within commuting distance of our Los Angeles, San Francisco, Seattle, or New York hubs.

You

📍Curious about who thrives at Whatnot? We’ve found that embodying a low ego, growth mindset, and high-impact drive goes a long way here. 📍As our next Software Engineer of Data, you should have 3+ years of experience, plus: 📍Ability to write well-tested, API-driven applications and services that run at scale in production. 📍Track record of building scalable and performant distributed systems 📍Expertise in managing cloud data stores (Snowflake, BigQuery, Redshift, etc.) for processing and serving data products 📍Expertise in streaming data systems such as Kafka, Flink, or Pulsar, and the ability to design and manage real-time processing pipelines at scale. 📍Strong experience supporting operational systems to ensure uptime, reliability, and maintainability, including monitoring, alerting, and incident management.

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