Staff Data Engineer — Remote, Scale Real‑Time Pipelines

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

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.