We’re looking for a Staff Data Engineer to join our team at Cloudbeds. As a Staff Data Engineer, you’ll design and implement large-scale distributed data processing systems using technologies like Apache Hadoop, Spark, and Flink. You’ll build robust data pipelines and infrastructure that transform complex data into actionable insights, ensuring scalability and fault-tolerance across our platform that processes billions in bookings annually.
Requirements
- Deep knowledge of data architecture, ETL/ELT pipelines, and distributed systems, with the ability to design scalable, high-performance solutions.
- Problem-solving skills, with a proactive approach to diagnosing issues, improving infrastructure, and taking full ownership from concept to production.
- Strong skills in writing clean, maintainable code (e.g., in Python, SQL, or Scala) and championing best practices like version control, testing, and CI/CD for data.
- Collaboration and mentorship skills, with the ability to work cross-functionally with analysts, data scientists, and engineers, while mentoring junior team members and raising the team’s technical bar.
- Data governance and reliability focus, with a strong sense of responsibility for data accuracy, lineage, and security—building systems that others can trust and scale on.
Benefits
- Remote First, Remote Always
- PTO in accordance with local labor requirements
- Monthly Wellness Fridays – enjoy an extra long weekend every month
- Full Paid Parental Leave
- Home office stipend based on country of residency
- Professional development courses in Cloudbeds University
- Access to professional development, including manager training, upskilling and knowledge transfer.
To apply for this job please visit job-boards.greenhouse.io.
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