ABOUT US:
For customers, we’re an online, members-only service that provides benefits across 140+ of the best online stores. Our members save time and money with benefits including free 2-day shipping, easy 2-click checkout and free returns.
For merchants, we’re driving ecommerce business, producing insights with a growing data analytics practice to boot. And we help them compete in today’s marketplace. It’s the ultimate ecommerce win-win.
With people in offices in Chicago, Conshohocken, PA and San Mateo, we’re perpetrators of good vibes and great experiences for our customers, our merchants and each other.
ABOUT THE ROLE:
As a data engineer at Shoprunner, you’ll help power many of our data-backed solutions and managing the large scale data we ingest from our merchant partners. Data engineering will work in collaboration with our Enterprise, Consumer, and Data Science teams to bring data models to production, power solutions for our merchant partners, and create more personalized experiences for our customers in our never-ending quest to help our shoppers and retailers connect in new ways and new applications..
ABOUT WHAT YOU’LL DO:
- Own the key data pipelines which enable real-time event handling, smarter personalization, and more nimble applications.
- Develop frameworks to productize our machine-learning models that give our members more product choices.
- Help us define and manage our big data infrastructure including Kinesis streams, Apache Spark and Redshift.
- Help us evolve our service architecture, embracing architecture approaches such as 12 factor, microservices, and well-formed APIs to allow our architecture to scale both internally and externally.
ABOUT WHAT WE’RE LOOKING FOR:
- 2+ years writing production code for Python-based systems, but you know a few other languages and like the right tool for the job.
- Knowledge of machine-learning tools and techniques.
- Plenty of experience using data in support of larger efforts, from reusing other services and APIs, to writing jobs in map-reduce, to leverage streaming data for smarter online systems.
- Experience with data transformation tools and techniques.
- Experience with a variety of data stores such as SOLR, Dynamo, Spark, MySQL and MPP data warehouses.
- Experience optimizing larger applications to increase speed, scalability, and extensibility.
- Proven self-starter who can move projects forward by filling in the gaps on Agile teams, from leading a design session to doing some test automation, to mentoring a teammate struggling with a new technology.