Data Engineer II (Restaurant AI CoPilot)
Opentable INC · 🇨🇦 Toronto, Canada
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereNo government sponsor record covers this employer in this country.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeCanada has no single salary bar: the employer usually needs a positive LMIA. Pay at or above the provincial median wage + 20% (e.g. C$36.92/h in Ontario) puts it in the high-wage stream. Source: https://www.canada.ca/en/employment-social-development/services/foreign-workers/median-wage.html, rules effective 2026-07-17.
- Confirmed live todayWhen a source last listed this job as open.
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Why not apply?
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
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Sponsor Radar — Opentable INC
No government sponsor record covers this employer in this country.
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Opentable INC →
About the role
This hybrid role requires working in the office two days per week. With millions of diners, 70,000+ restaurant partners and 25+ years of experience, OpenTable, part of Booking Holdings, Inc. (NASDAQ: BKNG), is an industry leader with a passion for helping restaurants thrive. Our world-class technology empowers restaurants to focus on what matters most – their team, their guests, and their bottom line – while enabling diners to discover and book the perfect restaurant for every occasion. 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. 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 Minimum Qualifications • Demonstrated professional experience in data engineering principles, data architecture, and software design • Proven track record of building, testing, deploying, monitoring, and maintaining production data systems • 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 Preferred Qualifications • 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. Benefits and Perks • 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 •