Toast
Toast5h ago
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USD 159000-254000/yr

Staff Analytics Engineer

United StatesUnited StatesRemotelead
Data EngineerData
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Quick Summary

Overview

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

Technical Tools
Data EngineerData

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

The Enterprise Data Solutions (EDS) team at Toast is on a mission to deliver a trusted, scalable, and governed data foundation that empowers every team at Toast to make decisions with speed and confidence. As Toast scales and AI becomes central to its product and operational strategy, EDS serves as the engine behind that ambition, building the data infrastructure, governance frameworks, and data products that every business function depends on.

The Analytics Engineer will play an integral role on our Enterprise Data Solutions (EDS) team. This person will have the chance to build and support our core Analytics layer in Toast’s enterprise data warehouse and define a scalable data architecture that enables federated analytics teams across all enterprise data domains. The ideal candidate has high standards for their work, and for that of their peers. They should demonstrate a practical expertise in building enterprise data solutions at scale, identifying opportunities to improve user experience, and pushing the envelope of data modeling. We are looking for a motivated, energetic candidate with experience creatively solving data complexities of various sizes and levels of cleanliness - with the ultimate goal of enabling analytics engineers, data engineers, analysts, product managers, and peers throughout Toast to make data-informed decisions.

 

Responsibilities

~1 min read
  • Collaborate with domain teams to implement a hub & spoke data architecture
  • Develop the core Analytics layer in our data warehouse that serves as the hub, defining complex business logic in SQL and supplying relevant business context
  • Build an AI-ready semantic layer that is extendable across business domains
  • Partner with business stakeholders and our product team to understand their data analytics needs, and ensure those needs are met by our Analytics layer
  • Work closely with the data engineering team to ensure scalability across the platform
  • Provide technical mentorship and leadership to team members

 

Requirements

~1 min read
  • 6+ years experience in Business Intelligence, Analytics, and/or Data Engineering roles.
  • 4+ years experience with developing data modeling strategies.
  • 3+ years experience developing in dbt. 
  • Highly proficient in SQL. You can interpret and optimize queries, for performance, written by other analysts and engineers.
  • Thrive in a fast-paced work environment and comfortable operating under ambiguity. You are up to the challenge of designing standards and best practices from the ground up, and love collaborating with colleagues to solve complex problems.
  • Bachelor's degree in an advanced quantitative field (or equivalent experience); such as mathematics, economics/finance, computer science, or physical science.

Nice to Have

~1 min read
  • Experience with Airflow
  • Experience with Sigma, Hex, and/or other BI dashboard tools
  • Experience in cloud-based data warehouses, specifically Snowflake.
  • Experience with Python is a plus

 

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

 

What We Offer

~1 min read

Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring

At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.

We Thrive Together

We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast.

Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com.

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For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Location & Eligibility

Where is the job
United States
Remote within one country
Who can apply
US

Listing Details

Posted
July 14, 2026
First seen
July 14, 2026
Last seen
July 14, 2026

Posting Health

Days active
0
Repost count
1
Trust Level
81%
Scored at
July 14, 2026

Signal breakdown

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ToastStaff Analytics EngineerUSD 159000-254000