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An established industry player is seeking a Software Engineer of Data to join their innovative team. In this pivotal role, you will define the technical direction and lead the development of a cutting-edge retrieval platform. Your expertise will drive innovation, ensuring systems are scalable and high-performing. Collaborating with cross-functional teams, you will optimize data integration and enhance the architecture for machine learning and real-time analytics. If you're a bold problem solver with a passion for technology, this opportunity allows you to make a significant impact in the evolving landscape of e-commerce.
Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Ireland, Poland, and Germany, we’re building the future of online marketplaces—together.
From fashion, beauty, and electronics to rare collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone.
And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce.
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.
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:
In addition to these role-specific qualifications, all engineering team members are expected to have:
$158,000/year to $245,000/year + benefits + equity
The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.
Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
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Hi there! Here at Whatnot, we want to empower every employee to reach their full potential, regardless of race, gender, ethnicity, sexual orientation, or background. We also believe that building an organization with many dimensions of diversity is an important key to short and long-term success.
We collect anonymous demographic information to help us achieve our goal of building a diverse company. This information is anonymous and will not be tied back to your application. The data will only be used in aggregate for reporting or learning purposes.
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