OpenTable
Data Engineer II (Restaurant AI CoPilot)
Toronto, Canada · Mid
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About the role
- As a Data Engineer on the Data Science team at OpenTable, you will design, build, and maintain robust data solutions that power diner features, partner integrations, and advanced AI initiatives. You will work closely with cross-functional teams including Product Managers, Business Intelligence Analysts, Infrastructure SREs, and Product Engineers to deliver scalable data products. Joining a agile, high-impact team, you will leverage OpenTable's vast data ecosystem to drive key business decisions and enhance user experiences globally
- Design, test, deploy, and maintain scalable batch and streaming data pipelines to deliver reliable data to internal and external customers
Responsibilities
- Collaborate with Product Managers, Business Intelligence Analysts, SREs, and Product Engineers to architect and govern production data services
- Build data pipelines providing actionable insights to restaurants regarding guest behaviour, revenue, and operational efficiency
- Develop and maintain data integrations with external partners to support critical business partnerships and data exchange
- Monitor and optimize production systems to ensure high performance, data availability, and system integrity
- As a Data Engineer on the Data Science team at OpenTable, you will design, build, and maintain robust data solutions that power diner features, partner integrations, and advanced AI initiatives.
- You will work closely with cross-functional teams including Product Managers, Business Intelligence Analysts, Infrastructure SREs, and Product Engineers to deliver scalable data products.
- Joining a agile, high-impact team, you will leverage OpenTable's vast data ecosystem to drive key business decisions and enhance user experiences globally
Requirements
- Proficiency in Python, SQL, and at least one strongly typed language (such as Java)
- Experience constructing scalable batch and streaming data pipelines
- Experience working in cross-functional environments and collaborating with product and technical stakeholders
Nice to have
- Experience with data engineering stack components such as PySpark, Databricks, Snowflake, Airflow, Kubernetes, and AWS.
- Familiarity with containerization, orchestration, and monitoring tools like Docker, Kubernetes, Helm, Prometheus, or Grafana.
- Familiarity with data storage and infrastructure solutions such as Kafka, Snowflake, Delta Lake, or vector/NoSQL databases.
- Understanding of A/B testing best practices and data-driven product evaluation.
- Company-paid therapy sessions through SpringHealth
- Company-paid subscription to Headspace
- Paid volunteer time
- Focus on your career growth:
Compensation
- Work from (almost) anywhere for up to 20 days per year
- Annual company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!)
Benefits
- Generous paid vacation + time off for your birthday
- Paid parental leave
- 20 days of paid time off
- Private health and dental insurance
- Power diner analytics and machine learning work streams for Sales, Marketing, and AI initiatives, including generative AI content summarization
Company info
- Every employee at OpenTable has a tangible impact on what we do and how we do it.
- You'll also be part of a global team and its portfolio of metasearch brands.
- Hospitality is all about taking care of others, and it defines our culture.
This listing is sourced directly from OpenTable's careers page and normalized into a canonical job model.