Data Engineer

Who we are

Here at Waitwhile were on a mission to eliminate the 1 trillion hours people spend waiting in lines every year. Our platform combines virtual waitlists scheduling real-time updates messaging and analytics to make access to places services and events seamless online or in person. Trusted by 10000 companies Waitwhile has already helped over 150 million people enjoy a radically better waiting experience. Our clients include IKEA Louis Vuitton Costco Delta Airlines and thousands more. Were just getting started and we need your help.

The role

As a Data Engineer at Waitwhile youll play a foundational role in building and maintaining a scalable secure and compliant infrastructure that powers Waitwhiles intelligence. Youll be responsible for the complete data lifecycle: managing ETL/ELT pipelines to centralize data orchestrating transformations serving our Analytics APIs and ensuring high-value insights are pushed back into business this role you will also serve as a technical advisor to Product and Leadership on how to operationalize AI.

What youll own

• 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.

What skills you need

• 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 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.

A great place to work

We want Waitwhile to be an incredible place to work. We offer great benefits and perks flexible working hours and lots of interesting challenges. We believe in making work fun and rewarding and care about your development and are committed to your success. Join Waitwhile at this exciting stage and help shape both our future and your own.

Waitwhile has a positive diverse and supportive culturewe look for people who are curious inventive and work to be a little better every single day. We aim to be smart humble hardworking and above all collaborative. If this sounds like a good fit for you what are you waiting for Apply for this job!