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Senior Data Engineer (Remote) Job Opening In WorkFromHome – Now Hiring Cloudbeds


Job description

Overview

Join to apply for the Senior Data Engineer (Remote) role at Cloudbeds .

At Cloudbeds, we're transforming hospitality with a completely remote team.

Our platform powers properties across 150 countries, processing billions in bookings annually.

We help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners.

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.

How You'll Make an Impact

As a Senior 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.

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.

Our culture is built on deep trust and collaboration.

When blockers arise, the team helps without hesitation.

Collaboration is 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: Clean, maintainable code (Python, SQL, or Scala) with 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: Responsibility for data accuracy, lineage, and security—building trusted, scalable systems.

What Sets You Up for Success

  • Clear Business Context: Understanding the “why” behind data needs to design impactful and relevant solutions.

  • Autonomy with Trust: Freedom to make technical decisions with accountability for delivering quality work.

  • Strong Team Collaboration: Willingness to share knowledge, unblock challenges, and value 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: Leaders who advocate for your growth and provide learning opportunities.

Bonus Skills to Stand Out (Optional)

  • Leadership skills: Guiding and mentoring junior members, coordinating projects, and cross-team collaboration.

  • Domain Knowledge: Hospitality industry understanding to enhance data pipelines.

  • Data Architecture Expertise: Designing data architecture with robust storage and scalability.

  • Performance Optimization: Optimizing data pipelines, including query performance and data partitioning.

  • Programming knowledge: Python and SQL essential; Java and others are a plus.

  • Experience with remote-first, globally distributed teams.

  • Experience with CI/CD tooling (GitHub Actions, Build Workflows).

  • Knowledge of Confluent and AWS.

What to Expect - Your Journey with Us

Learn more at cloudbeds.com.

Company Awards & Benefits

Awards to check out include HotelTechAwards recognitions ) and Deloitte Technology Fast ).

Benefits include remote-first policies, PTO per local requirements, apartment accommodations (San Diego & São Paulo), parental leave, home office stipend, Cloudbeds University courses, and access to therapy/coaching and professional development.

Remote-first culture, diverse, inclusive environment.

Cloudbeds is an Equal Opportunity Employer; we welcome applicants from all backgrounds.

Job Details

  • Seniority level: Mid-Senior level
  • Employment type: Full-time
  • Job function: Information Technology
  • Industries: Technology, Information and Internet

Location: Santiago Metropolitan Region, Chile

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Required Skill Profession

Bases De Datos, Analítica Y Bi


  • Job Details

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Unlock Your Senior Data Potential: Insight & Career Growth Guide


Real-time Senior Data Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Senior Data in WorkFromHome, Chile, highlighting market share and opportunities for professionals in Senior Data roles.

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Are You Looking for Senior Data Engineer (Remote) Job?

Great news! is currently hiring and seeking a Senior Data Engineer (Remote) to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Cloudbeds adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Chile laws and regulations

What Is the Average Salary Range for Senior Data Engineer (Remote) Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in WorkFromHome. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Senior Data Engineer (Remote)?

Key qualifications for Senior Data Engineer (Remote) typically include Bases De Datos, Analítica Y Bi and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Senior Data Engineer (Remote) Job Success

Cloudbeds interview tips for Senior Data Engineer (Remote)

Here are some tips to help you prepare for and ace your Senior Data Engineer (Remote) job interview:

Before the Interview:

Research: Learn about the Cloudbeds's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Senior Data Engineer (Remote) interview at Cloudbeds, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Cloudbeds's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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