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Senior Software Engineer - Data Backend
Senior Software Engineer - Data Backend
This job is no longer open
Come join our talented team of Data Backend engineers to ensure that Yelp’s systems work fast, efficiently, and at scale. Our team connects search queries to 100+ million reviews on millions of businesses in under 400 milliseconds. We excel at selecting the ideal ad from a myriad of possibilities, making sure logs are transported, transformed and indexed to create awesome user experiences. We help users find the perfect restaurant for munching on their yummy quinoa salad. Ultimately, we make a huge impact in helping Yelp connect more people with great local businesses.
We’re looking for experienced engineers to help us build elegant and scalable systems. Together, we’ll create solutions using NoSQL data stores, data warehouses, batch processing, and stream processing solutions to empower Yelp-wide use of Machine Learning. As such, we’ll help solve impactful business problems whether it’s providing a delightful user experience, data driven decision-making, ensuring the trustworthiness of Yelp’s content and protecting the platform from abuse. If you’re the person who leads their team to constantly improve existing systems and enthusiastically dives into solving complex problems, we’re looking for you!
Yelp engineering culture is driven by our values: we’re a cooperative team that values individual authenticity, and encourages creative solutions to problems. New hires are empowered 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.
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.
This opportunity is fully remote and does not require you to be located in any particular state within the US. We welcome applicants from throughout the US.
Where You Come In:
- Build systems that can effectively store and crunch terabytes of data.
- Help elevate the infrastructure that empowers millions of Yelp’s users to make the best decisions.
- Manage challenging problems such as personalizing ads and search ranking, user location intelligence, clickstream analytics, content type classification, delivering personalized recommended businesses to users and sophisticated bot detection.
- Work closely with other software engineering teams, product managers and data scientists to identify and use the most relevant consumer and business data.
- Gain 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.
- Mentor other engineers and share the skills you’ve learned.
What It Takes to Succeed:
- A Bachelor’s Degree or equivalent work experience is required.
- A strong knowledge of programming languages and the systems you've worked on to power ads or search engines.
- 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 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: 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.
What You'll Get:
- Compensation range is $92,000-235,000 annually. 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 the US.
- You can find more information about Yelp's five star benefits here!
Vaccination against COVID-19 is not required for this role. We nonetheless encourage all employees to get vaccinated. Employees who are not vaccinated may not visit Yelp’s offices or participate in any in-person work activities, and are not eligible to transfer or be promoted to a role that requires vaccination.
#LI-Remote
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 or disability.
Actual salary offered may vary based on multiple factors, including but not limited to, an individual's location and experience.
We will consider for employment qualified candidates with arrest and conviction records, consistent with applicable law (including, for example, the San Francisco Fair Chance Ordinance for roles based in San Francisco).
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 accommodations-recruiting@yelp.com or 415-969-8488.
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.
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This job is no longer open