About Ovative Group: Ovative Group is an independent, full-funnel media, measurement, and creative firm. Leveraging our deep industry expertise, we help brands like Best Buy, Domino's, American Eagle, The Home Depot, Post, Disney, Tumi, Michael Kors, Boost Mobile, and UnitedHealth Group transform their media and measurement programs. The result? Profitable growth that speaks for itself. At Ovative, we don't just track data, we redefine success. How do we do it? Our proprietary MarTech platform, EMRge helps businesses transform marketing into a driver of sustainable growth. Powered by Enterprise Marketing Return (EMR), our differentiated approach to holistic media buying, planning, and measurement, EMRge is the first MarTech platform to measure businesses holistically. We're all about raising the bar every day, and it shows. Our work has been recognized by organizations like Digiday, Google, Inc. 5000, USA Today, and Search Engine Land. About the Role: The Data Engineer role on the Marketing Science and Offerings (MSO) Team is an opportunity to take your next career step at a fast-growing company with the highest standards for talent, fun, and client success. The MSO team supports direct consultative work for clients and acts as the internal proving ground for pre-product ideas. This role blends hands-on data engineering and lightweight applied data science to enable high-quality data foundations and advanced analytics. In this role, you will focus on: Enabling external data source access at scale (e.g., building and hardening API integrations with external partners like Google and Amazon) to power analytics, modeling, and reporting. Expanding learning and usage of partner clean rooms (e.g., Amazon Marketing Cloud and Meta clean rooms) in order to enable experimentation and measurement. Contributing to Joint Technical Plans (JTPs) with partners and clients, aligning on technical approaches, deliverables, and milestones that advance Ovative’s measurement and optimization capabilities. You will work within a cross-functional team responsible for creating, optimizing, and maintaining generalizable, repeatable, and scalable data solutions. You will collaborate closely with business stakeholders and a seasoned team of reporting analysts, data scientists and engineers throughout the data lifecycle—from ingestion through data modeling and feature engineering—in order to build analytics-ready data sets. The team navigates ambiguity, asks lots of questions, learns, and executes quickly in a supportive, collaborative environment.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
501-1,000 employees