Data Engineer - Marketing Science and s

Data Engineer - Marketing Science and Offerings

Join to apply for the Data Engineer - Marketing Science and Offerings role at 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 United Health 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.

Our proprietary Mar Tech 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 makes EMRge the first Mar Tech 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.

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.

• 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.

• Serve as a technical contributor on a high‑performance data engineering, science, and advanced analytics team, owning scoped work streams and delivering executional excellence.
• Design, build, test, and deploy reliable data pipelines integrating external sources, with emphasis on APIs (e.g., authentication, pagination, rate‑limit handling, backfills, schema evolution, and monitoring/alerting).
• Expand Ovative’s use of partner clean rooms (e.g., Amazon Marketing Cloud, Meta clean rooms): activate, author, and optimize SQL queries, design experiments and measurement analyses, and operationalize repeatable templates.
• Lead or assist in the discovery of advertising data, mapping sources/structures to enable measurement‑related reporting, analytics, and modeling.
• Identify automation opportunities across ingestion, transformations (e.g., dbt), QA, and delivery to improve reliability, speed, and cost efficiency.
• Contribute to Joint Technical Plans (JTPs) with partners and clients: define technical approaches, sequence milestones, document assumptions/risks, and build PoCs that unlock new Ovative offerings.
• Provide technical assistance to teammates and help raise the collective expertise in APIs, clean rooms, and analytical data engineering.
• Follow software, security, and product engineering best practices: version control, CI/CD, code reviews, reproducibility, documentation, and testing.
• Explore new technologies and tools—aligned with security, enterprise…