Cloudbeds is looking for a Staff Data Engineer to design and implement large-scale distributed data processing systems using technologies like Apache Hadoop, Spark, and Flink. You will 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.

What You'll Do

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.

What We're Looking For

Deep knowledge of data architecture, ETL/ELT pipelines, and distributed systems, with the ability to design scalable, high-performance solutions.
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.
The ability to work cross-functionally with analysts, data scientists, and engineers, while mentoring junior team members and raising the team’s technical bar.
A strong sense of responsibility for data accuracy, lineage, and security—building systems that others can trust and scale on.

Nice to Have

Leadership skills: guiding and mentoring junior members, coordinating projects and collaborating with other teams.
Domain Knowledge: Having understanding of the hospitality industry.
Data Architecture Expertise: Contributing to designing data architecture and system and having deep understanding of data storage and ability to design a robust, scalable and maintainable architecture.
Performance Optimization: Being able to optimize the performance of data pipelines is a crucial skill such as query optimization, indexing, caching and data partitioning.
Programming knowledge: Knowledge of Python and SQL is essential, familiarity with Java and other languages is a plus.
Experience working with a remote-first and globally distributed team.
Experience with CI/CD tooling, including GitHub Actions and Build Workflows.
Knowledge of Confluent and AWS.

Technical Stack

Apache Hadoop, Spark, Flink, Docker, Kubernetes, Kafka, Confluent, Airflow, dbt, Python, SQL, Scala, AWS

Team & Environment

You will be joining our Data team.

Benefits & Compensation

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

Work Mode

This is a global position.

Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.