2 months ago
Toronto, CanadaMid Level
Responsibilities
- Design, test, deploy, monitor, optimize, and maintain scalable batch and streaming data pipelines.
- Architect and govern production data services with Product Managers, Business Intelligence Analysts, SREs, and Product Engineers.
- Build data pipelines that provide restaurant insights on guest behavior, revenue, and operational efficiency.
- Develop and maintain external-partner data integrations for business partnerships and data exchange.
- Support diner analytics, machine learning workstreams, Sales, Marketing, and AI initiatives including generative AI content summarization.
- Monitor production systems to maintain performance, data availability, and system integrity.
Requirements
- Demonstrated professional experience with data engineering principles, data architecture, and software design.
- Experience 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 collaborating with product and technical stakeholders in cross-functional environments.
- Preferred experience with PySpark, Databricks, Snowflake, Airflow, Kubernetes, AWS, Docker, Helm, Prometheus, Grafana, Kafka, and Delta Lake.
- Preferred knowledge of machine learning development including NLP, LLMs, RAG, recommendations, or MLOps.
- Preferred familiarity with A/B testing best practices, data-driven product evaluation, and vector or NoSQL databases.
Benefits
- Hybrid workplace with an expectation of working in the office two days per week.
- Work from almost anywhere for up to 20 days per year.
- Paid vacation, 20 days of paid time off, birthday time off, paid sick and medical leave, bereavement leave, floating holidays, and paid holidays.
- Company-paid therapy sessions through SpringHealth and a company-paid Headspace subscription.
- Annual company-wide week off.
- Paid parental leave and paid volunteer time.
- Development dollars, leadership development, and access to on-demand e-learning.
- Travel discounts, employee resource groups, health and dental insurance, flexible spending account, retirement benefits, life insurance, and disability insurance.
- Schedule may require communication outside conventional business hours to collaborate with international colleagues, respond to restaurant partners, or address urgent matters.
- Eligible for consideration for an annual bonus and equity grant.
Tech Stack
Categories
Data Engineering
About OpenTable
OpenTable builds an online restaurant reservations marketplace for diners and reservation, guest management, and operations software for restaurants, sold via subscriptions and per-cover fees. Its consumer apps and integrations power bookings across 70,000+ restaurants worldwide and connect with POS and other hospitality systems. Founded in 1998 and headquartered in San Francisco, OpenTable is part of Booking Holdings.