Shiftgig, one of Chicago’s hottest and fastest growing technology companies, is actively seeking a Data Architect in our Chicago office. We are a tech company in a non-tech space and as such, we have a lot of interesting problems to solve. We solve many of these using the large and diverse data set we have, as such you will be a key member of our team.
Currently, we have a team of three data scientists that are in need of technology support and direction in terms of pipelining data from both the Shiftgig product as well as supporting back-office platforms from sales, accounting, and recruiting. Today, this platform is a collection of SaaS-based tools that are performing various integrations, ETL processes, and data science algorithm hosting.
We currently lack a dedicated data engineering team member, and we are looking for a hands-on software engineer who is ready to dig in and evaluate the current state, and architect and deliver sustainable solutions to our data science team, and work with our product engineering team to create a cohesive real-time data analytics and insights platform.
Key upcoming projects are enabling our marketplace to have a data science driven algorithmic matching process between our workers and our customers that maximizes successful work outcomes in our marketplace. The direction of our matching and ratings will eventually drive experiments around dynamic pricing, upskilling opportunities, and recruiting efficiency.
Shiftgig was founded on the simple premise that many people want flexible work opportunities that fit into the rest of their lives, so we build technology that is focused on one thing: connecting people who want temporary work right now with businesses who need them.
We’re fulfilling our mission of connecting millions of people with millions of shifts via our mobile apps and platform. Our apps make it easy for businesses to post gigs and for qualified and skilled workers to claim them. Our platform handles shift fulfillment, and handles all the messy bits associated with labor management.
We are a tech company in a non-tech space with many interesting problems to solve. Our architecture is centered around internal and external APIs where the consuming clients are our single page applications and native mobile apps.