Job Description

The Data Engineering team is the backbone of all data-related processes and enables the Data Science teams 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 & scalable 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 data infrastructure to help us scale for where we’re going over the next several years
• orchestrating pipelines using modern Big Data tools/architectures as well as design and engineering of existing transactional processing systems
• 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, real time ETL pipelines
• Managing data infrastructure (AWS services, Data orchestrator) and providing framework to rationalize and simplify both real time and batch data 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