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Home › Jobs › Data Science › Data Engineer II (Restaurant AI CoPilot)
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Data Engineer II (Restaurant AI CoPilot)

OpenTable
Toronto
Experience0-1 years
Salary CAD 120000 - 130000 per yearly
LocationToronto
Job TypeFull time
Skills: Data Science
Job Description
Job Title: Data Engineer II (Restaurant AI CoPilot) Company: OpenTable Job Category: Data Science Roles & Responsibilities: This hybrid role requires working in the office two days per week. About this 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 Responsibilities * Design, test, deploy, and maintain scalable batch and streaming data pipelines to deliver reliable data to internal and external customers * 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 * Power diner analytics and machine learning work streams for Sales, Marketing, and AI initiatives, including generative AI content summarization * Monitor and optimize production systems to ensure high performance, data availability, and system integrity * Experience with data engineering stack components such as PySpark, Databricks, Snowflake, Airflow, Kubernetes, and AWS. * Knowledge or experience in Machine Learning development (e.g., NLP, LLMs, RAG, recommendations, or MLOps). * 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. * Generous paid vacation \+ time off for your birthday * Work from (almost) anywhere for up to 20 days per year * Focus on mental health and well\-being: + Company\-paid therapy sessions through SpringHealth + Company\-paid subscription to Headspace + Annual company\-wide week off a year \- the whole team fully recharges (and returns without a pile\-up of work!) * Paid parental leave * Paid volunteer time * Focus on your career growth: + Development Dollars + Leadership development + Access to thousands of on\-demand e\-learnings * Travel Discounts * Employee Resource Groups * 20 days of paid time off * Private health and dental insurance * Life and Disability insurance The best connections happen face\-to\-face, whether you're sitting down to dinner or having coffee with a coworker. That's why OpenTable has adopted a hybrid workplace model. This role aligns with that approach, with an expectation of coming into the office two days a week—giving employees the best of both worlds: in\-person collaboration and flexibility. At OpenTable, we pride ourselves on fostering a global and dynamic work environment. As a team member with us, you will benefit from a schedule tailored to accommodate a global workforce operating across multiple time zones. While the majority of your responsibilities may align with conventional business hours, there will be instances where you are expected to manage communications \- via calls, Slack messages, or emails \- outside of regular working hours to effectively collaborate with international colleagues, respond to restaurant partners, and/or address urgent matters. OpenTable will always abide by and consider local laws and regulations. Work Location: Toronto, ON, Canada Availability: Full time
Requirements
Minimum Qualifications Preferred Qualifications Benefits and Perks The expected range of compensation for this position based in Toronto, Canada, including commission and/or bonuses is $120,000 \- $130,000 CAD. There are a variety of factors that go into determining a compensation range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required. We offer a competitive base salary and benefits including: health benefits, retirement benefits; life insurance; paid time off (including PTO, paid sick leave, medical leave, bereavement leave, floating holidays and paid holidays); and parental leave benefits. This role is eligible to be considered for an annual bonus and equity grant. Key Skills: Data Science Salary: CAD 120000 - 130000 per yearly
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