Blueshift is the leading SmartHub Customer Data Platform that empowers consumer brands to leverage their first-party data to deliver one-to-one personalized experiences at scale. Marketers at these brands can leverage Blueshift’s SaaS platform to deliver hyper-personalized 1:1 experiences. We work with some of the top brands around the world including Discovery, Udacity, LendingTree and more. We believe that every brand will move away from one-way conversations (batch and blast or “one size fits all” type experiences) to two-way conversations with every consumer at scale. We’re backed by top tier VCs, have been named to Deloitte’s Technology Fast 500 and have been recognized as a “Cool Vendor for AI in Marketing” by Gartner.
As a part of the Data Engineering team, you will help build data-intensive applications to ingest, process, store, and access huge amounts of data in scalable, highly available, and operationally robust systems. You will also drive data integrations (inbound/outbound) to bring in our Client's data from different channels and technology partners, empowering marketers to deliver customer experiences at scale. You will develop software solutions to address any technical roadblocks to ingest, process, and transform data into a useful format for Customers and for internal teams.