Faire
Faire1d ago
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Data Engineer - Analytics Platform

Data EngineerData
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Quick Summary

Overview

About 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.

Requirements Summary

Strong Python and SQL skills Experience developing and operating ETL/ELT, storage, compute, workflow systems Exposure to building and operating reliable, scalable data pipelines, orchestration of data movement, querying, transformation, and…

Technical Tools
airflowawskotlinpythonsnowflakesqla11yetlmachine-learning

About 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 the Role

~1 min read

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.

The Analytics Platform team builds capabilities to accelerate data-driven analytics, improve productivity and accuracy at Faire. Its mandate is to reduce time from data to insights.

The team focuses on the following areas and capabilities:

  • Data warehousing, including cost-efficient storage and compute
  • ETL (extract, transform, load) and ELT (extract, load, transform) pipelines
  • Evolution of foundational datasets with company-wide utilization
  • BI (business intelligence) tooling and integrations
  • Productivity acceleration tooling for analytics use-cases, including AI/LLM powered tools
  • Automation of analytics functions
  • Monitoring, alerting, and cost tracking for workloads
  • Data security, privacy, and governance

The team also owns relationships with select infrastructure vendors.

Responsibilities

~2 min read
  • Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
  • Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
  • Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
  • Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
  • Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.

Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.

Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.

Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs.  To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)

For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)

Location & Eligibility

Where is the job
Kitchener-Waterloo, Canada
On-site at the office
Who can apply
CA

Listing Details

Posted
May 6, 2026
First seen
May 7, 2026
Last seen
May 8, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
60%
Scored at
May 7, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust
Faire
Faire
greenhouse
Employees
5
Founded
2024
View company profile
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FaireData Engineer - Analytics Platform