AnalyticsEngineer

Who we are In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter – to help restaurateurs succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry’s, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches. What you’ll do The restaurant industry has zero data standardization - POS systems, delivery apps, and inventory tools all speak different languages. This causes semantic drift, impedes AI enablement, and erodes trust. The Analytics Engineering team is tackling this head-on through best-in-class data normalization and modeling, a semantic layer, and automated data quality frameworks - contributing to a world-class data ecosystem from the ground up. As an early and key contributor to this team, you'll balance hands-on technical ownership with deep cross-functional collaboration. That means building scalable data models and pipelines while partnering with Product, Engineering, Operations, and Data Science to understand how restaurants use Otter, measure platform quality and growth, and transform raw operational data into production-ready datasets that power business decisions and AI-driven products. Responsibilities Design, build, and maintain scalable data pipelines and models, owning the full lifecycle from source system ingestion through canonical datasets to production-ready analytics. Build and optimize data models that run against both batch and real-time query engines, understanding the tradeoffs and appropriate use cases for each. Partner with Engineering, Product, and Data Science teams to understand data needs and data generation patterns, define source-of-truth datasets, and ensure data qual