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.
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