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Staff Analytics Engineer
ToastAnalytics 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 fitCore 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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesSQL
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