Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io.
About the job
This role will be part of Astronomer’s open-source engineering team, focused on implementing new Airflow features and components. As a member of the team, you’ll be at the forefront of the industry as we continue to make Apache Airflow the de facto standard for data orchestration.
Your focus will be on identifying, designing, developing, and implementing open-source software that improves the experience of data practitioners using Airflow.
Ideally, you’re someone who enjoys innovating, thinking big, and contributing directly to the success of Airflow. You should be comfortable working in a remote,
distributed setting, actively promote knowledge sharing, and be open to collaborating with other teams to broaden your domain knowledge and impact.
You’ll also have the opportunity to engage with developers and committers from the Apache Airflow project, a thriving open-source community with thousands of contributors around the world.
What You Get To Do
- Designing and implementing new Airflow features and components.
- Improving the performance and resiliency of Airflow
- Iterating and improving on Airflow’s developer experience
- Improve code quality, test coverage and reduce test runtime
- Encouraged to participate in the Airflow community(via Slack, mailing list and GitHub)
- Work closely with team members to deliver high-quality results.
- Liaise with customers, troubleshooting issues and providing solutions
- Contribute to the Airflow Ecosystem and steward the open-source com