This will be a remote role to start, with plans to transition to hybrid in-office 2x/week located in downtown Toronto.

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With millions of diners, 60,000+ 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.

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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.

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The Role:

The Data Engineering team at OpenTable supports a wide range of initiatives targeting diners, restaurants, and internal stakeholders. The team is expanding its capabilities to serve a growing set of product features and AI projects which rely on data engineering.

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In this role, you will:

• Generative AI for content summarization and question answering.
• Data pipelines which provide insights to restaurants on their guests, revenue, and operations
• Diner analytics projects which power ML, Sales, and Marketing workstreams
• Integrations with partners to ingest and export data to support business critical partnerships

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As a Data Engineer you will work closely with Product Managers, Business Intelligence Analysts, Infrastructure SREs, and Product Engineers to design robust and well governed solutions. You will lead both data pipelines and production services to deliver data based products to both internal and external customers.

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Please apply if:

• Proven knowledge of the technologies and principles of data engineering
• Experience building, testing, deploying, monitoring, and maintaining production systems
• Proficient in Python, at least one strongly typed language, and SQL
• Experience in building scalable batch and streaming data pipelines.

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Strong Preference

• Familiarity with our stack (PySpark, Databricks, Airflow, Python, K8s, AWS)
• Machine Learning expertise (especially ranking, recommendations, classification, NLP, LLMs, RAG, Agentic development)
• Data/ML Ops Experience
• Java/Python proficiency
• Familiarity with A/B Testing best practices
• Track record of project leadership, cross-team collaboration, and coordination with Product Managers and other stakeholders

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Bonus

• Pipelines: Spark, Airflow, Databricks, Snowflake, S3, Delta Lake
• ML: PyTorch, XGBoost / CatBoost, Large Language Models
• Deployment: Docker, Kubernetes, Helm, Prometheus, Graphite/Grafana
• Infrastructure: Kafka, ElasticSearch, Postgres, MongoDB, Redis, Qdrant
• Build: Flask, Gunicorn, Poetry, TeamCity, Spring, Maven

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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
• Employee Resource Groups
• Private health and dental insurance
• Life and Disability insurance

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There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required. The range for this Toronto, Canada based role is $118,000 - $123,000 CAD.

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We offer a competitive base salary and benefits including: health benefits; flexible spending account; 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.

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