Data Engineer
San Francisco, CA
Applications have closed
Faire Wholesale, Inc.
About Faire
Faire is an online wholesale marketplace built on the belief that the future of retail is local. There are over 1M independent retailers in the U.S. and Canada doing more than twice the revenue of Walmart and Amazon combined. At Faire, we're using the power of technology and data to connect a growing community of over 150,000 brands and independent retailers around the world. Picture your favorite boutique in town — we help them discover the best products to sell in their stores. By empowering entrepreneurs with the right tools and insights, we believe that we can level the playing field so that small businesses can compete with big box and e-commerce giants. 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.
Job Description
The Data Engineering team is the backbone of all data-related processes and enables the Data Science team to develop and deploy a wide variety of algorithms and models that power the marketplace. Our infrastructure is used by the whole company for analytics, reporting, forecasting and research. We care about having a reliable infrastructure with quality data and building machine learning models that help our customers thrive.
As a Data Engineer you’ll be responsible for developing and automating large scale, high-performance data storage and processing systems.
Our team already includes experienced Data Scientists and Engineers from Airbnb, Facebook, Quora, Square, Uber, TripAdvisor, and Overstock. Faire will soon be known as a top destination for data science and machine learning, and you will help take us there!
What you will be doing:
- Develop our machine learning infrastructure to help us scale for where we’re going over the next several years
- Manage our data infrastructure and ETL platform
What it takes:
- 2+ years experience in a Data Engineering role with an emphasis on managing data warehouses
- Strong skills in Python, Git, Docker, SQL, Airflow, ETL pipelines
- Familiarity with Snowflake or BigQuery
- A passion for programming and solving problems with code
- A bachelor's degree in Computer Science/Software Engineering or equivalent industry experience
- A love for technology, and an insatiable curiosity for new tools to tackle real problems
Why you’ll love working at Faire
- We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is an owner of the business and taking part in the founding process.
- We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of over 100,000 small business owners.
- We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy.
- We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality.
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 Salt Lake City, Atlanta, Toronto, London and Sao Paulo. 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.
Tags: Airflow BigQuery Computer Science Docker E-commerce Engineering ETL Git Machine Learning ML models Pipelines Python Research Snowflake SQL
Perks/benefits: Career development
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