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OpenTable

Data Engineer II (Restaurant AI CoPilot)

Toronto, ON, Canada

Posting language: English
Posted: Sep 18, 2026

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Original job description

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
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.

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; 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.

Work Environment & 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.

Inclusion

We’re committed to creating a workplace where everyone feels they belong and can thrive. We know the best ideas come when we bring different voices to the table, so we're building a team as dynamic as the diners and restaurants we serve - and fostering a culture where everyone feels welcome to be themselves.

If you need accommodations during the application or interview process, or on the job, we’re here to support you. Please reach out to your recruiter to request any accommodations.

This posting is for an existing vacancy.

Apply About employer

More about this job

Responsibilities

Design, deploy, and maintain scalable batch and streaming data pipelines to support diner features and partner integrations. Collaborate with cross-functional teams to architect production data services and provide actionable insights for AI and business initiatives.

Requirements

Requires professional experience in data engineering, data architecture, and software design with proficiency in Python, SQL, and a strongly typed language like Java. Candidates must have a proven track record of building and maintaining production-grade data systems in collaborative environments.

Skills

Python
SQL
Java
Data engineering
Data architecture
Software design
Batch processing
Streaming pipelines
PySpark
Databricks
Snowflake
Airflow
Kubernetes
AWS
Machine learning
Generative AI

Benefits

Paid vacation
Birthday time off
Mental health support
Headspace subscription
Annual company-wide week off
Paid parental leave
Paid volunteer time
Development dollars
Leadership development
E-learning access
Travel discounts
Employee resource groups
Health insurance
Dental insurance
Life insurance
Disability insurance

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Python
SQL
Java
PySpark
Databricks
Snowflake
Airflow
Kubernetes
AWS
Machine Learning
NLP
LLMs
RAG
MLOps
Docker
Helm
Prometheus
Grafana
Kafka
Delta Lake
NoSQL
A/B Testing
Data Pipelines
Generative AI
Data Architecture
Streaming
Batch Processing
Cloud Infrastructure
Software Design

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