Data Engineer - Analytics Platform
Faire · Kitchener-Waterloo, Canada | Toronto, Canada · Engineering
About this role
Faire is hiring a mid-level Data Engineer based in Kitchener-Waterloo, Canada | Toronto, Canada. The posting calls out experience with Python, Kotlin, SQL, AWS. Compensation is listed at $129,500–$178,000 per year.
- Role
- Data Engineer
- Function
- data engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Kitchener-Waterloo, Canada | Toronto, Canada
- Department
- Engineering
More roles at Faire
Job description
from Faire careersAbout Faire
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.
We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.
About this role:
Our Engineering organization owns the software that makes our marketplace work. The Platform group empowers teams across Faire: Product Engineering, Data Science, Product Management, Strategy, Analytics, Finance, etc. Enabling these functions to do their best work without concern about underlying infrastructure. We enable product engineering teams to build and operate software with unmatched speed and quality. We care about good engineering practices, excellent developer experience, security, testability, ease of maintenance, and scaling to serve millions of users. We value best practices to achieve excellent availability and performance.