Data Platform Engineer - Analytics Team (Remote - Canada)

JOB DESCRIPTION

Summary

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.

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! We're the data backend engineers who make these systems work with speed, efficiency, and at scale.

We’re looking for experienced engineers to join our team. In this role, you’ll build elegant, scalable systems that empower engineers, data scientists, and data analysts.

Your work will ensure the production of high-quality data, maintain its integrity, and enhance its discoverability for analytics at Yelp.

Our work solves impactful business problems, from providing a delightful user experience to ensuring the trustworthiness of Yelp’s content and protecting the platform from abuse.

If you’re driven to constantly improve existing systems and excited about solving complex problems, we’re looking for you! Join us in building the next generation of data platforms and tools that will drive Yelp's analytics and data quality to new heights.

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 :

• Build systems that can effectively store and crunch terabytes of data.
• Develop and maintain a data transformation platform using tools like dbt.
• Implement and enhance data quality monitoring and observability tooling.
• Create and maintain lineage tracking services for end-to-end data flow capture and visualization.
• Work on the infrastructure that empowers millions of Yelp’s users to make the best decisions.
• Deliver a platform that transforms raw data into reliable analytical information, which can be used for business and product metrics to drive strategic decisions.
• Gain expertise in cutting-edge infrastructure for machine learning, data analytics, and product feature use cases.
• Employ the fine art of balancing scale, latency, and availability depending on the problem.
• Mentor other engineers and share the skills you’ve learned.

What it takes to succeed :

• A deep understanding of programming languages and the systems you've worked on.
• 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.
• Several years of experience building and scaling data warehouses, dimensional models, data pipelines to train and deploy machine learning models, and / or ETL pipelines for metrics and analytics for product feature use cases.
• Hands-on experience with orchestration tools like Airflow or similar.
• Exposure to some of the following technologies : dbt, Python, Java, Scala, Apache Spark, Apache Kafka, Apache Flink, AWS and service-oriented architecture, AWS Redshift, AWS Athena / Apache Presto, AWS S3, NoSQL systems like Cassandra, data observability, and data cataloging tools.

What you'll get :

• Compensation range is $97,000-230,000 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