Data Engineer
Data Engineer
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Job Description
With millions of diners tens of thousands of restaurants and 23 years of experience OpenTable part of Booking Holdings Inc. (NASDAQ: BKNG) is an industry leader with a unique insight into the world of hospitality. We champion restaurants bars wineries and other venues around the world helping them attract guests manage capacity improve operations and maximize revenue.
Every employee at OpenTable has a tangible impact on what we do and how we do it. Youll also be part of a global network that includes OpenTable and KAYAKs portfolio of travel brands including Swoodoo checkfelix momondo Cheapflights Mundi and HotelsCombined.
Hospitality is all about taking care of others and it defines our culture. Youll work in a welcoming and inclusive environment and get the benefits flexibility and support you need to succeed.
This will be a remote role to start with plans to transition to hybrid 2x/week in office likely in downtown Toronto Canada.
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.
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
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.
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.
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
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
Benefits:
- Paid Time Off - 20 days a year
- Birthday/celebration PTO - 1 day
- Annual company weeks off
- Flexible sick time off
- Paid volunteer time
- Parental Leave Benefits
- Dental & Vision Insurance
- Life & Disability Insurance
- Group RRSP and DPSP
- Major Medical Insurance (dependent care options)
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 remote Canada based role is $118000 - $123000 CAD.
In addition to a competitive base salary roles are eligible for additional compensation and benefits including: annual cash bonus equity grant; 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 and benefits.
Inclusion
Were 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 were building a team as dynamic as the diners and restaurants we serveand fostering a culture where everyone feels welcome to be themselves.
If you need accommodations during the application or interview process or on the job were here to support you. Please reach out to your recruiter to request any accommodations.
Employment Type
Full Time
