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Toast

Staff Analytics Engineer

Toast

Analytics Engineer responsible for building analytics infrastructure for Toast's enterprise data. Collaborating with teams to develop data solutions that empower decision-making across the organization.

Posted 7/14/2026full-timeRemote • California • 🇺🇸 United StatesLead💰 $159,000 - $254,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Business Intelligence and Analytics, with a strong focus on data modeling strategies and SQL proficiency. Capable of providing technical mentorship and collaborating effectively with cross-functional teams to meet data analytics needs.

Highest-signal resume keywords
Business IntelligenceData Modeling StrategiesSQL ProficiencyDbt DevelopmentTechnical Mentorship

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringAnalytics DevelopmentData Warehouse DevelopmentAI-Ready Semantic LayerData Architecture Implementation
Soft Skills
CollaborationAdaptabilityLeadership
Certifications & Qualifications
Bachelor's Degree in Quantitative Field
Industry Keywords
Hub & Spoke ArchitectureScalabilityData Analytics Needs

Tech Stack

Tools & technologies
SQL

About the role

Key responsibilities & impact
  • 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
  • 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
  • Work closely with the data engineering team to ensure scalability across the platform
  • Provide technical mentorship and leadership to team members

Requirements

What you’ll need
  • 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.
  • Thrive in a fast-paced work environment and comfortable operating under ambiguity.
  • Bachelor's degree in an advanced quantitative field (or equivalent experience).

Benefits

Comp & perks
  • Competitive compensation and benefits programs
  • Health insurance
  • 401(k) matching
  • Flexible working hours
  • Paid time off
  • Remote work options