Data Platform Engineer; Python, Kafka & Spark

Canonical is seeking developers to help build an automation-driven data platform that spans multi-cloud and on-premise environments. You will contribute to fault-tolerant infrastructure for big data systems, collaborating with a global, remote-first team to deliver scalable automation tools.

The role emphasizes Python mastery, distributed systems experience (Kafka, Spark), and close collaboration with open-source communities.

This role, Remote Data Platform Engineer (Python, Kafka & Spark) at Remote, could be your next opportunity.

Please review the full job details above before applying.

If your experience matches this role, we encourage you to apply.

All applications are reviewed carefully by our team.

The position is based in San Francisco, CA, United States.

This opportunity is part of our work in IT & Technology.

The advertised compensation is 120..

This role offers the option to work remotely.