Analytics Engineer - Seattle, WA

Overview

The Otter Analytics Engineering team enables data standardization across the restaurant industry by building scalable data pipelines, a semantic layer, and automated data quality frameworks. The team drives a world-class data ecosystem from the ground up to support AI-driven products and business decisions.

The restaurant industry has zero data standardization—POS systems, delivery apps, and inventory tools all speak different languages. You’ll balance hands-on technical ownership with deep cross-functional collaboration to build scalable data models and pipelines, partner with Product, Engineering, Operations, and Data Science, transform raw operational data into production-ready datasets, and power business decisions and AI-enabled 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 tradeoffs and appropriate use cases.
• Partner with Engineering, Product, and Data Science to understand data needs, define source-of-truth datasets, and ensure data quality across the pipeline.
• Design and maintain data integrity standards, SLAs, alerting, and data validation frameworks.
• Drive the development of self-service analytics solutions and AI-powered data tools to scale data access for internal teams and external customers.
• Contribute to the design and evolution of semantic layer and data modeling standards across the organization.
• Foster a culture of technical excellence, continuous learning, and data fluency.

• 2+ 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 data ecosystem (1B+ rows), with familiarity across 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.
• Full-stack mindset, not hesitating to solve a problem end-to-end.
• A passion for high-quality, scalable, and highly usable technical systems.

• Demand for online food delivery is growing rapidly. The market has expanded significantly in recent years and could continue to grow substantially by 2030.
• Opportunity to help restaurants succeed in online food delivery.
• Collaborative environment with experienced colleagues and cross-team collaboration to ensure customer success.

This role is based in our Seattle office. We work onsite five days a week to support close collaboration as we reimagine the industry and refine our processes.

Base salary range: $137,000 - $173,000 per year. Actual compensation will depend on experience, skills, and qualifications. Base salary is part of total rewards, which may include equity and a performance-based bonus.

• Medical, dental, and vision insurance (multiple plans, including HSA options).
• Company-paid life and disability insurance (short- and long-term).
• Voluntary insurance: accident, critical illness, hospital indemnity.
• Optional supplemental life insurance for self, spouse, and children.
• Pet insurance discount.
• 401(k).
• Health Savings Account (HSA).
• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter).
• Time Off policies: discretionary vacation days, 8 paid holidays per year, paid sick time, paid bereavement leave, paid parental leave.

Benefits Are Subject To Change At The Company's Discretion.

Ready to join us as we serve those who serve others?