Data Engineer II (Restaurant AI CoPilot)
Core
Design, build, and maintain robust data solutions and pipelines to power diner features, partner integrations, and advanced AI initiatives for restaurants.
Role type
Data Engineer II (Data Science team)
Builds
Scalable batch and streaming data pipelines, data integrations, and analytics services for restaurants and AI work streams.
Domain
Hospitality technology / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data engineering principles, data architecture, software design, Python, SQL, strongly typed languages (e.g., Java), scalable batch and streaming pipeline construction
Preferred skills
PySpark, Databricks, Snowflake, Airflow, Kubernetes, AWS, Machine Learning development (NLP, LLMs, RAG, MLOps), containerization, orchestration, monitoring tools, Kafka, Delta Lake, vector/NoSQL databases, A/B testing
Technologies
PySpark, Databricks, Snowflake, Airflow, Kubernetes, AWS, Docker, Helm, Prometheus, Grafana, Kafka, Delta Lake
Responsibilities
Design, test, deploy, and maintain scalable batch and streaming data pipelines; Collaborate with cross-functional teams to architect and govern production data services; Build data pipelines providing actionable insights to restaurants; Develop and maintain data integrations with external partners; Power diner analytics and machine learning work streams; Monitor and optimize production systems
Seniority
Mid-Senior, hands-on IC
