Yelp has 100+ million reviews, plus millions of users and business listings. And all of these are growing every quarter. The data we have and generate on a daily basis can power a lot of experiences but only if it is stored, transported and crunched effectively. This is where our data backend engineers come in!
Our teams build elegant but scalable systems that use NoSQL data stores, data warehouses, map-reduce and streaming solutions to let data power a whole host of personalized experiences for Yelp’s users and drive optimizations for Yelp’s advertising businesses. And we keep those updated and relevant as the clock ticks (read: real time handling of data).
Handling all this data is hard work. While our systems are predicting the next best thing for our users, we take a break and build even smarter agents for our internal hackathons. Or go on team offsites that may or may not involve cuddling kittens at tea lounges. At the end of the day, we are all about learning, growing 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.
We Are Looking For:
5+ years of relevant industry experience building large scale distributed systems.
Deep understanding of the programing languages and systems that you've worked on.
A passion for architecting large systems with elegant interfaces that can scale easily.
A love for writing beautiful code. We use Java & Python. You don’t need to be an expert, but experience is a plus and we will expect you to learn them on the job.
Comfort in running services or batches in a Unix environment.
Minimum BA/BS degree in Computer Science, Math, or related degree.
A love for delighting Yelp’s users with experiences they shouldn’t live without.
If you don't have at least one year of experience in a similar role, please take a look at our College Engineering roles instead!
If you have what we are looking for above, reach out! Everything below is either something you are aware of already, or we will provide you the opportunity to learn on the job.
Exposure to one or more technologies amongst the likes of ElasticSearch, Hadoop/MapReduce, Spark, NoSQL systems like Cassandra or AWS DB services.
Active contributor to Open Source software.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
This year we're focused on three things:
Amazing features specifically for the creators of Yelp's unmatched local review content - namely our incredible community.
International expansion - bringing Yelp to the world.
Closing the loop with local businesses - Yelp Platform and more tools to help businesses see the value they're getting from Yelp.