Staff Data Engineer

Third-Party Job Posts; Remote; CAD 100,000 - 130,000; Full time

Job summary

A leading technology company in the hospitality sector is seeking a Staff Data Engineer to design and implement distributed data processing systems. This role includes building scalable data pipelines and optimizing performance while ensuring data quality across our platform. The ideal candidate will bring deep expertise in data architecture and strong programming skills in Python and SQL. Join a fully remote team committed to innovation and collaboration.

Benefits

Monthly Wellness Fridays

Full Paid Parental Leave

Professional development courses

Qualifications

• Deep knowledge of data processing and architecture.
• Experience designing scalable ETL/ELT pipelines.
• Proficient in writing clean code in Python, SQL, or Scala.

Responsibilities

• Design and implement large-scale data processing systems.
• Build robust data pipelines that transform data into insights.
• Architect data lakes and optimize performance.

Skills

Data architecture

ETL/ELT pipelines

Distributed systems

Proactive problem-solving

Clean, maintainable code

Education

Relevant degree in Computer Science or related field

Tools

Apache Spark

Apache Hadoop

Docker

Kubernetes

Kafka

Job description

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.

How You'll Make an Impact

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.

Our Data team

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.

What You Bring to the Team

• 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.

What Sets You Up for Success

• 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.

Bonus Skills to Stand Out (Optional)

• Leadership skills: guiding and mentoring junior members, coordinating projects and collaborating with other teams.
• Domain Knowledge: Having understanding of the hospitality industry can greatly enhance your ability to design and build effective data pipelines.
• 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 is a valuable skill.
• 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

What to Expect - Your Journey with Us

• Overall 10 Best Places to Work | HotelTechAwards (2025)
• Top 10 People’s Choice (2024)
• 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.

Everyone is Welcome - A Culture of Inclusion

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.

Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard of hearing, deaf‑blind, and deaf‑disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at 858‑201‑7832 or via email at [e-mail]. Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes.

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Equal Employment Opportunity Information

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