Launch and maintain a scalable semantic data layer that reflects an updated view of our customers' reporting needs and has connectivity to AI tools
Scope and deploy infrastructure for a production-facing AI feature
Maintain high availability for the analytics and reporting API endpoints serving the Waitwhile application
Maintain and improve the ML-based wait estimation implementation
Ensure strict anonymization, masking, and necessary separation of customer data, with zero leakage of tenant data

5+ years of experience as a Data Engineer or similar role
Strong familiarity with Google Cloud Platform services, specifically BigQuery and Vertex AI, along with SQL
Hands-on experience with data transformation tools like DBT or Dataform
Theoretical understanding of semantic data layer tools, such as Cube.js or LookML
Master of Science in an applicable field
Bonus Skills & Attributes: Knowledge of JavaScript/TypeScript and NodeJS
SaaS experience, especially where analytics is part of the product offering
Experience deploying ML models to production (MLOps) and an understanding of how to integrate LLMs/AI agents into application workflows (MCP concepts)
Experience handling PII and implementing GDPR/CCPA deletion workflows

Data Engineer

Key skills