Senior Python Engineer, Airflow Open Source

Astronomer

United States

Remote

USD 140,000 - 180,000

Full time

14 days+
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Job summary

Astronomer is seeking an experienced Python developer to join its open-source engineering team, focusing on implementing new Airflow features and components. You will help advance Airflow's role as the standard for data orchestration while working in a remote, distributed environment.

You will design, develop, troubleshoot, and improve the developer experience, contribute to code quality and test coverage, engage with the Apache Airflow community, and collaborate across teams to deliver

Qualifications

  • 5+ years of Python development experience.
  • Experience designing scalable distributed systems.
  • Experience troubleshooting complex issues.
  • Experience with open-source projects and community involvement.
  • Ability to write meaningful unit tests and understand CI/CD.
  • Strong communication across Github/Slack/Zoom and with customers.

Responsibilities

  • Designing and implementing new Airflow features and components.
  • Improving Airflow performance and resiliency.
  • Enhancing Airflow developer experience and test coverage.
  • Collaborating with teams to deliver high-quality results.
  • Engaging with the Airflow community and contributors.
  • Promoting Airflow features at conferences and events.

Skills

Python
Distributed systems
Open-source collaboration
Unit testing
GitHub/Slack/Zoom

Education

Bachelor's degree in CS/CS related field

Tools

Kubernetes
Docker
Apache Airflow

Job description

Astronomer is seeking an experienced Python developer to join its open-source engineering team, focusing on implementing new Airflow features and components. You will help advance Airflow's role as the standard for data orchestration while working in a remote, distributed environment.

You will design, develop, troubleshoot, and improve the developer experience, contribute to code quality and test coverage, engage with the Apache Airflow community, and collaborate across teams to deliver

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