Cloudbeds is seeking a Staff Data Engineer to design and implement large-scale data processing systems, focusing on scalability and fault tolerance. The ideal candidate will have strong technical skills in data architecture and distributed systems, alongside a collaborative mindset to thrive in a remote-first company culture
Job Summary
As a Staff Data Engineer, you'll design and implement large-scale distributed data processing systems using technologies like Apache Hadoop, Spark, and Flink.
We're energized by turning complex, messy data into meaningful insights that drive real impact across the organization, thriving on solving data infrastructure challenges at scale.
Cloudbeds is a remote-first company offering benefits like Monthly Wellness Fridays, Full Paid Parental Leave, and a Home office stipend.
Matching Summary
Match Score: 85
Cloudbeds is seeking a Staff Data Engineer to design and implement large-scale data processing systems, focusing on scalability and fault tolerance. The ideal candidate will have strong technical skills in data architecture and distributed systems, alongside a collaborative mindset to thrive in a remote-first company culture.
Skills & Requirements
Must-have
Apache Hadoop, Spark, Flink
Kafka, Confluent
Docker, Kubernetes
Python, SQL, Scala
Data architecture, ETL/ELT pipelines
Distributed systems design
Data governance, accuracy, lineage, security
Nice-to-have
Hospitality industry domain knowledge
Remote-first, globally distributed team experience