
Empowering hospitality businesses worldwide
Cloudbeds is a leading hospitality management platform headquartered in San Diego, California, specializing in property management systems (PMS) and booking engines for hotels, hostels, B&Bs, and vacation rentals. With over 21,000 customers in 157 countries, Cloudbeds has raised $82 million in fundi...
Employees enjoy competitive salaries, equity options, flexible PTO, remote work opportunities, and a comprehensive health benefits package....
Cloudbeds fosters a remote-friendly culture that emphasizes collaboration and innovation, allowing employees to work from anywhere while focusing on d...

Cloudbeds • Canada; Europe
Cloudbeds is hiring a Staff Data Engineer to design and implement large-scale distributed data processing systems. You'll work with technologies like Apache Hadoop, Spark, and Flink to build robust data pipelines. This role requires expertise in distributed computing and containerization.
You have extensive experience in data engineering, particularly in designing and implementing large-scale distributed data processing systems. Your expertise includes working with technologies such as Apache Hadoop, Spark, and Flink, which you have used to build robust data pipelines that transform complex data into actionable insights. You understand the importance of scalability and fault-tolerance in data systems, ensuring that the infrastructure you create can handle billions of bookings annually.
Your background includes a strong foundation in distributed computing, and you are well-versed in containerization technologies like Docker and Kubernetes. You have experience with streaming technologies such as Kafka and Confluent, which you have utilized to create real-time data processing solutions. You are passionate about driving innovation and continuously evaluating new technologies to improve the data ecosystem.
You thrive in a remote work environment and enjoy collaborating with global teams to solve complex challenges in the hospitality industry. Your ability to communicate effectively with both technical and non-technical stakeholders allows you to bridge gaps and ensure that data solutions align with business goals.
Experience with data lakes and warehouses is a plus, as is familiarity with implementing security measures and optimizing performance in data systems. You are also encouraged to apply even if your experience doesn't match every requirement, as Cloudbeds values diverse backgrounds and perspectives.
As a Staff Data Engineer at Cloudbeds, you will be responsible for designing and implementing large-scale distributed data processing systems that power our hospitality platform. You will build and maintain robust data pipelines that ensure the seamless flow of information across our systems, transforming complex data into actionable insights for our clients.
You will architect data lakes and warehouses, enabling efficient data storage and retrieval. Your role will also involve implementing security measures to protect sensitive data and optimizing performance to ensure that our systems can handle the high volume of transactions we process.
Collaboration will be key in this role, as you will work closely with other engineers, data scientists, and product teams to understand their data needs and provide solutions that meet those requirements. You will drive innovation by evaluating new technologies and methodologies that can enhance our data processing capabilities.
Your contributions will directly impact the success of our platform, helping hoteliers transform their operations and commercial strategies through data-driven insights. You will have the opportunity to mentor junior engineers, sharing your knowledge and expertise to help them grow in their careers.
Cloudbeds offers a fully remote work environment, allowing you to collaborate with a diverse team of innovators from around the world. We provide competitive compensation and benefits, including opportunities for professional development and growth within the company. Join us in transforming the hospitality industry through cutting-edge technology and data solutions.
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