[Hiring] Staff Data Engineer @Cloudbeds

Role Description

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.

• Architect data lakes, warehouses, and real-time streaming platforms
• Implement security measures and optimize performance
• Drive innovation and evaluate new technologies to continuously improve our data ecosystem

Qualifications

• Deep knowledge of data architecture, ETL/ELT pipelines, and distributed systems
• Proactive approach to diagnosing issues and improving infrastructure
• Strong skills in writing clean, maintainable code (e.g., in Python, SQL, or Scala)
• Ability to work cross-functionally with analysts, data scientists, and engineers
• Strong sense of responsibility for data accuracy, lineage, and security

Requirements

• Understanding the “why” behind data needs
• The freedom to make technical decisions and explore solutions
• Being part of a team that shares knowledge openly
• Having the right modern tools and the ability to improve them
• Managers who advocate for your growth and create space for learning

Benefits

• Remote First, Remote Always
• PTO in accordance with local labor requirements
• 2 corporate apartment accommodations for team member use for free (San Diego & São Paulo)
• 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