Data Infra Engineer

If you're into online shopping (who isn't these days?), chances are you've crossed paths with Yotpo. We're all about eCommerce retention—helping brands of every size turn one-time shoppers into lifelong customers.

Think loyalty programs, SMS and email marketing, subscriptions, and reviews—it's what we do best. Plus, we've got more tricks up our sleeve.

With teams spread across the globe—from the US and Canada to the UK, Israel, Bulgaria, and Australia—we're growing fast. Our main mission? Delivering cutting-edge technology that sets new standards in the industry.

Sounds exciting? Then read on, because we're looking for curious professional talents to be a part of building the future of the e-commerce industry.

About us

Are you a talented Senior Data Infra Engineer? If so, we want you to be part of our dynamic Data Engineering Team, contributing to our vision and changing the eCommerce landscape.

You'll be joining a collaborative team of engineers creating a reliable and performant data infrastructure platform. As a Senior Engineer on the team you will prioritize and tackle problems as they arise, working iteratively with internal and external stakeholders to deliver a great self-service data infrastructure and stability for our developers and analysts. Today we serve various eCommerce organizations, enabling them to make decisions based on the knowledge at the core of their business.

In this role, you can expect

Lead technical design and implementation of major software components, systems, and features across teams.
Work with a variety of programming languages, systems, and cloud technologies, including: Python, DBT, Databricks, Spark, Looker, Airflow, Kubernetes, AWS, Terraform
Apply your technical experience in performance, architecture, interfaces and engineering best practices to face cutting-edge data related challenges.
Help build a data driven culture of quality and innovation by leading cross-team collaboration and execution of projects delivering high value to customers.
Manage trade-offs, priorities, and deliverables by applying your experience driving projects to successful completion.

Qualifications

6+ years of experience working as a Data Infra Engineer or a similar role
Deep understanding of the Modern Data Stack, specifically DBT, Databricks, Spark, Airflow and Looker
Experience troubleshooting issues related to "Distributed Big Data Computing" environment as well as DevOps tooling
Proficiency in at least one programming language (Python, Java, Go, etc)
Bachelor's degree in Computer Science, Engineering, or equivalent

You are a good fit if you

Have a systematic problem-solving approach coupled with strong communication skills and a sense of ownership and drive.
Are passionate about upholding engineering best practices in all phases of SDLC
Collaborate effectively with cross-functional teams and stakeholders.

#LI-Hybrid