Data Engineer

At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges.

Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 – but we're just getting started.

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.

You'll architect data lakes, warehouses, and real-time streaming platforms while implementing security measures and optimizing performance. With your expertise in distributed computing, containerization (Docker, Kubernetes), and streaming technologies (Kafka, Confluent), you'll drive innovation and evaluate new technologies to continuously improve our data ecosystem.

We're energized by turning complex, messy data into meaningful insights that drive real impact across the organization. As a team, we thrive on solving data infrastructure challenges at scale, building resilient pipelines, optimizing performance, and architecting systems that enable everyone from analysts to executives to make smarter, faster decisions.

What sets us apart is our culture of deep trust and collaboration. No one gets left stuck. When someone hits a blocker, the team jumps in to help without hesitation. We're problem solvers with a shared mission, where collaboration isn't just encouraged, it's expected, and collective wins matter more than individual credit.

• Technical Expertise & Scalability Mindset
  Deep knowledge of data architecture, ETL/ELT pipelines, and distributed systems, with the ability to design scalable, high-performance solutions.
• Problem-Solving & Ownership
  A proactive approach to diagnosing issues, improving infrastructure, and taking full ownership from concept to production.
• Code Quality & Best Practices
  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 & Mentorship
  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 & Reliability Focus
  A strong sense of responsibility for data accuracy, lineage, and security—building systems that others can trust and scale on.

• Clear Business Context
  Understanding the “why” behind data needs—when goals and use cases are clear, it’s easier to design impactful and relevant solutions.
• Autonomy with Trust
  The freedom to make technical decisions, explore solutions, and iterate—paired with the trust that you’ll deliver with quality and accountability.
• Strong Team Collaboration
  Being part of a team that shares knowledge openly, helps each other unblock challenges, and values collective wins over individual credit.
• Access to Quality Tooling & Infrastructure
  Having the right modern tools (e.g., Airflow, dbt, Spark, Flink, cloud platforms) and the ability to improve them when needed sets the foundation for effective work.
• Supportive Leadership & Growth Mindset
  Managers who advocate for your growth, give regular feedback, and create space for learning and experimentation help sustain long‑term success.

• Leadership skills: guiding and mentoring junior members, coordinating projects and collaborating with other teams.
• Domain Knowledge:
  Having…