North AmericaFull TimeEngineering
Remotely
pythonawsdockercloudkubernetesazuregcpairflow
Also available on
Job Description
📋 Description
- 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