Data Backend

San Francisco • $115k - $220k

Yelp


Role Location

  • San Francisco

Compensation

$115k - $220k

Employees

501+ people

Address

140 New Montgomery St Ste 900
San Francisco, CA, 94105, US

Tech Stack

  • Python

Role Description

Yelp connects people to great local businesses, but who connects search queries to 100+ million reviews on millions of businesses in under 400 milliseconds? Who can select the perfect ad from millions of possibilities before the user can blink an eye? And after that user has found the perfect restaurant and is happily munching on their quinoa salad, who makes sure our logs are transported, transformed, and indexed so that we can do even better for them next time? We do: the data backend engineers who make these systems work fast, efficiently, and at scale.

We’re looking for experienced engineers to join our team to build elegant, scalable systems that use NoSQL data stores, data warehouses, map-reduce and streaming solutions to power a whole host of personalized experiences for Yelp’s users and drive optimizations for Yelp’s advertising businesses. If you’re the person who leads their team in replacing an aging system, or dives fearlessly into the guts of a running system to fix that bug everyone else is happy to gloss over, then we’re looking for you!

Yelp engineering culture is driven by our values: we’re a cooperative team that values individual authenticity, and encourages “unboring” solutions to problems. New hires are expected to deploy working code their first week -- and your impact will only grow from there with the support of your manager and mentor. At the end of the day, we are all about helping our users, growing as engineers, and having fun in a collaborative environment.

What You Will Do: Build systems that can effectively store and crunch terabytes of data, and power amazing experiences for Yelp’s users. Learn the fine art of balancing scale, latency and availability depending on the problem. Work with product management and data science to identify and use data that is most relevant to the problem at hand. Observe the power of AI from up close but more importantly, bring it to the mass(es) of data we have at Yelp.

About Yelp

Yelp connects people with great local businesses. Our users have contributed over 100 million reviews of almost every type of local business, from restaurants, boutiques and salons to dentists, mechanics, plumbers and more. Our business revolves around the connections made between the consumers who read and write reviews and the local businesses that they describe. Yelp was founded in San Francisco in July 2004.

Company Culture

Our culture is very much focused on collaboration and mentorship. We ensure that everyone gets support and the opportunity to grow their career within Yelp. We have several Employee Resource Groups at Yelp that encourage Diversity and Inclusion and offer opportunities to grow your skill sets both personally and professionally thanks to programming focussed around mentoring, public speaking, allyship etc. Yelp cares truly about our community and you can see that naturally reflected in our culture.

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