Analytics Engineer - Seattle, WA

5+ years in the data space as an analytics engineer or data engineer, preferably in a scaling startup environment.

Strong technical foundations with deep experience in SQL, Python, version-controlled environments, and modern data tooling, including hands-on experience with a SQL-based transformation tool (e.g., dbt, SQLMesh, or similar).

Significant experience with a large-scale (1B+ rows) data ecosystem, with familiarity across both batch processing and real-time or OLAP query engines.

Strong understanding of data modeling concepts: star schemas, slowly changing dimensions, incremental materialization strategies.

Experience partnering with Product, Engineering, and Data Science to deliver data products.

Demonstrated ability to balance strategic thinking with hands-on technical ownership.

Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X from $10B to $100B, and could expand to $500bn- $1T by 2030.

Changing the restaurant industry: You’ll be part of a team that helps restaurants succeed in online food delivery.

Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you’ll work closely with other teams to ensure our customer’s success.

Medical, dental, and vision insurance (multiple plans, incl. HSA options).

Company-paid life and disability insurance (short- and long-term).

The restaurant industry has zero data standardization - POS systems, delivery apps, and inventory tools all speak different languages.

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.

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.

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.