Learn and build expertise across Airflow, data engineering, Kubernetes, and cloud engineering.
Solve challenging Airflow problems for customers; optimize configurations and fix bugs.
Contribute to open-source Airflow or Astronomer tooling 20% time.
Work with customers' data engineers, admins, DevOps, and management.
Provide feedback to shape Airflow project direction and product.
Maintain 24x7 coverage with a 6-hour pager and weekend on-call rotation.

🎯 Requirements

Data engineering background
4 years Python experience
1 year Airflow administration & DAG creation
Kubernetes/Docker/Containers experience
Experience with AWS, GCP, or Azure
Strong problem-solving and communication

🎁 Benefits

Remote, distributed team
Equity and benefits package
Opportunity to influence Airflow project
Mentor junior teammates
Open-source contributions encouraged
Paid on-call rotations and weekend coverage

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