Remote Data Platform Engineer (Python, Kafka & Spark)

Remote

San Francisco (CA)

Remote

USD 120,000 - 180,000

Full time

13 days ago

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Benefits offered by this job

Fully remote working environment

Learning & development budget

Annual compensation review

Recognition rewards

Annual holiday leave

Parental Leave

Employee Assistance Programme

Travel opportunities to meet teams

Priority Pass for travel upgrades

Job summary

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.

Qualifications

Proven hands-on experience in software development using Python.
Proven hands-on experience in distributed systems, such as Kafka and Spark.
Have a Bachelor’s or equivalent in Computer Science, STEM, or a similar degree.
Willingness to travel up to 4 times a year for internal events.

Responsibilities

Collaborate proactively with a distributed team.
Write high-quality, idiomatic Python code to create new features.
Debug issues and interact with upstream communities publicly.
Work with helpful and talented engineers including experts in many fields.
Discuss ideas and collaborate on finding good solutions.
Work from home with global travel for 2 to 4 weeks per year for internal and external events.