Cloudbeds
Senior Data Engineer (Remote) (Los Angeles)
Cloudbeds, Los Angeles, California, United States, 90079
OverviewJoin 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 ****, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in ****.How You'll Make an ImpactAs 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 TeamWe'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 TeamTechnical 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 SuccessClear 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 UsLearn more at cloudbeds.com.Company Awards & BenefitsAwards to check out include HotelTechAwards recognitions **********) and Deloitte Technology Fast 500 *****).
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 DetailsSeniority level: Mid-Senior levelEmployment type: Full-timeJob function: Information TechnologyIndustries: Technology, Information and InternetLocation: Santiago Metropolitan Region, Chile
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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 ****, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in ****.How You'll Make an ImpactAs 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 TeamWe'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 TeamTechnical 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 SuccessClear 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 UsLearn more at cloudbeds.com.Company Awards & BenefitsAwards to check out include HotelTechAwards recognitions **********) and Deloitte Technology Fast 500 *****).
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 DetailsSeniority level: Mid-Senior levelEmployment type: Full-timeJob function: Information TechnologyIndustries: Technology, Information and InternetLocation: Santiago Metropolitan Region, Chile
#J-*****-Ljbffr #J-18808-Ljbffr