Entry Level Software Engineer - Data Backend (Remote, Canada)

JOB DESCRIPTION

Summary

At Yelp, we connect people with great local businesses. But have you ever wondered who ensures that search queries sift through over 100 million reviews across millions of businesses in under 400 milliseconds?

Who selects the perfect ad from millions of possibilities faster than a blink of an eye? And once a user finds the ideal business for their needs, who ensures that our logs are seamlessly transported, transformed, and indexed to enhance their next experience?

We do : the data backend engineers who make these systems work fast, efficiently, and at scale.

We're looking for entry-level engineers who are eager to learn and contribute to building elegant, scalable systems. You'll have the opportunity to work with SQL and NoSQL data stores, data warehouses, batch processing, and stream processing solutions.

Join us in leveraging machine learning across Yelp to address significant business challenges, improve user experiences, facilitate data-driven decisions, and maintain the reliability of Yelp's content.

If you are enthusiastic about learning, eager to take on new challenges, and passionate about enhancing systems, we want you on our team!

Yelp engineering culture is driven by our : we’re a cooperative team that values individual authenticity and encourages creative solutions to problems.

All new engineers deploy working code their first week, and we strive to broaden individual impact with support from managers, mentors, and teams.

At the end of the day, we’re all about helping our users, growing as engineers, and having fun in a collaborative environment.

This opportunity is fully remote and does not require you to be located in any particular area in Canada. We welcome applicants from throughout Canada.

We’d love to have you apply, even if you don’t feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes.

What you'll do :

Contribute to building systems that can effectively store and crunch terabytes of data.

Support the infrastructure that empowers millions of Yelp’s users to make the best decisions.

Engage with diverse challenges such as personalizing ads and search ranking, AI telephony and chatbots, advertiser retention and churn prevention, data-driven storytelling, clickstream analytics, content type classification, delivering personalized recommended businesses to users and sophisticated bot detection.

Collaborate with cross functional teams, including software engineers, product managers and data scientists to identify and use the most relevant consumer and business data.

Develop expertise in cutting-edge infrastructure for machine learning or data analytics or product feature use cases.

Learn the fine art of balancing scale, latency and availability depending on the problem.

What it takes to succeed :

Good coding skills in Python or equivalent (ideally Java or C++).

A passion for architecting large systems with elegant interfaces that can scale easily.

A hunger for tracking down root causes no matter how deep it takes you and fixing them in systematic ways.

Understanding of building data pipelines to train and deploy machine learning models and / or ETL pipelines for metrics and analytics or product feature use cases.

Exposure to some of the following technologies : Apache Spark, AWS Redshift, AWS S3, Cassandra (and other NoSQL systems), AWS Athena, Apache Kafka, Apache Flink, Java, AWS and service oriented architecture.

What you'll get :

• Compensation range is $85,000 - 122,000 annually. Depending on your role and level, you may also be offered a bonus, restricted stock units, and benefits.
• This opportunity has the option to be fully remote in all locations across Canada.
• You can find more information about Yelp's five star benefits !

Closing

At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human : race, age, sexual orientation, gender identity, religion, disability, and education and those are just a few.

We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include Playing Well With Others and Authenticity.

We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, disability, or any other protected status.

We are committed to providing reasonable accommodations for individuals with disabilities in our job application process.

If you need assistance or an accommodation due to a disability, you may contact us at or 1-.

Note : Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.

LI-Remote