Senior Data Engineer (Remote)

Third-Party Job Posts; Canada; Remote; CAD 90,000 - 130,000; Full time

Job summary

A hospitality technology firm is seeking a Senior Data Engineer to design and implement large-scale data processing systems. You will create scalable data pipelines and manage real-time streaming technologies to enhance insights from complex data. The ideal candidate has experience in distributed systems and a strong understanding of data architecture. This role is remote and supports a culture of collaboration and innovation.

Benefits

PTO in line with local labor requirements

Full paid parental leave

Home office stipend

Access to therapy and coaching

Professional development opportunities

Qualifications

• Deep knowledge of data architecture and distributed systems.
• Proactive approach to diagnosing issues and improving infrastructure.
• Ability to write clean, maintainable code in Python or SQL.

Responsibilities

• Design and implement large-scale distributed data processing systems.
• Build robust data pipelines and infrastructure.
• Ensure scalability and fault-tolerance across the platform.

Skills

Data architecture design

ETL/ELT pipelines

Problem-solving

Collaboration

Data governance

Education

Bachelor's or Master's in Computer Science or related field

Tools

Apache Hadoop

Spark

Flink

Docker

Kubernetes

Kafka

Job description

Overview

At Cloudbeds, we're transforming hospitality with an intelligent platform that powers properties across 150 countries. We operate with a completely remote team and partner with hundreds of collaborators to help hoteliers transform operations and improve commercial strategy.

Senior Data Engineer

As a Senior Data Engineer, you will 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. You will architect data lakes, data 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 will drive innovation and evaluate new technologies to continuously improve our data ecosystem.

Our Data team

We turn complex, messy data into meaningful insights that drive real impact across the organization. We solve data infrastructure challenges at scale, build resilient pipelines, optimize performance, and architect systems that enable everyone from analysts to executives to make smarter, faster decisions. Our culture is built on trust and collaboration, where teammates jump in to help blockers and celebrate collective wins.

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: Proactive approach to diagnosing issues, improving infrastructure, and taking full ownership from concept to production.
• Code Quality & Best Practices: Clean, maintainable code (Python, SQL, or Scala) and advocacy for version control, testing, and CI/CD for data.
• Collaboration & Mentorship: 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: Commitment to data accuracy, lineage, and security—building trustable, scalable systems.

What Sets You Up for Success

• Clear Business Context: Understanding the why behind data needs helps design impactful solutions.
• Autonomy with Trust: Freedom to make technical decisions paired with accountability for delivery.
• Strong Team Collaboration: Knowledge sharing, helping unblock challenges, and valuing collective wins.
• Access to Quality Tooling & Infrastructure: Modern tools (Airflow, dbt, Spark, Flink, cloud platforms) and the ability to improve them.
• Supportive Leadership & Growth Mindset: Managers who advocate for growth, provide feedback, and create space for learning.

Bonus Skills to Stand Out (Optional)

• Leadership skills: Guiding and mentoring junior members and coordinating projects.
• Domain Knowledge: Hospitality industry understanding to enhance data pipelines.
• Data Architecture Expertise: Designing robust, scalable data architecture and storage.
• Performance Optimization: Optimizing data pipelines through query optimization, indexing, caching, and partitioning.
• Programming Knowledge: Proficiency in Python and SQL; Java or other languages are a plus.
• Remote-First Experience: Experience working with a globally distributed team.
• CI/CD tooling: Experience with GitHub Actions and build workflows.
• Cloud & Confluent Knowledge: Familiarity with Confluent and AWS.

What to Expect — Your Journey with Us

Cloudbeds is 650+ employees across 40+ countries, solving challenges with elite engineers, AI architects, designers, and hospitality veterans. We value innovation and travel and work to redefine the future of hospitality.

• Remote-first, remote-always culture
• PTO in line with local labor requirements
• Full paid parental leave
• Home office stipend based on country of residency
• Professional development through Cloudbeds University
• Access to therapy and coaching
• Opportunities for manager training, upskilling, and knowledge transfer

Everyone is Welcome — A Culture of Inclusion

Cloudbeds is an Equal Opportunity Employer and celebrates diversity in our global team. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, disability, or other protected characteristics. We provide reasonable accommodations in the hiring process and encourage applicants who may need accommodations to contact our HR team.

Apply for this job

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