You'll be a founding member of a newly chartered data engineering function within Customer Success with a direct hand in shaping the architecture, tooling, domain model, and team culture from day one
Job Summary
You'll be a founding member of a newly chartered data engineering function within Customer Success with a direct hand in shaping the architecture, tooling, domain model, and team culture from day one.
As a Data Engineer on the Customer Success Data & Analytics team, you’ll design, build, and scale the data platforms and pipelines that power insights across our Customer Success organization.
Partner with Toast's Business, Technology & Transformation (BTT) organization to establish data governance practices, security policies, and architecture standards that will serve as the foundation for CS data infrastructure.
Matching Summary
You'll be a founding member of a newly chartered data engineering function within Customer Success with a direct hand in shaping the architecture, tooling, domain model, and team culture from day one.
Salary
$138,000
Skills & Requirements
Must-have
design, build, and scale data platforms
production-ready data pipelines
data models and schemas
data quality, observability, lineage, and governance
cost-efficient, performant cloud infrastructure
modern data technologies
SQL and Python/Scala/Java
Nice-to-have
building data systems at significant scale
AI-assisted development tools
real-time data streaming
modern data warehouse/lakehouse technologies
CI/CD, infrastructure as code
SaaS or Customer Success analytics
CS or CX-adjacent source systems
Key Requirements
5+ years of experience in data engineering
Strong SQL skills
Experience with Python, Scala, or Java
Hands-on experience with cloud-based data platforms (AWS, GCP, or Azure)
Experience building and optimizing ETL/ELT workflows
Deep understanding of data modeling, data warehousing, and pipeline design
Ability to write clean, maintainable, and well-tested code