Data Engineer - Remote (United States)

Astronomer designed Astro, a modern data orchestration platform, powered by Apache Airflow™. Astro enables companies to place Apache Airflow at the core of their data operations, providing ease of use, scalability, and enterprise-grade security, to ensure the reliable delivery of mission-critical data pipelines.

We’re a globally-distributed and rapidly growing venture-backed team of learners, innovators and collaborators. Our mission is to build an Enterprise-grade product that makes it easy for data teams at Fortune 500’s and startups alike to adopt Apache Airflow. As a member of our team, you will be at the forefront of the industry as we strive to deliver the world's data.

Your background may be unconventional; as long as you have the essential qualifications, we encourage you to apply. While having "bonus" qualifications makes for a strong candidate, Astronomer values diverse experiences. Many of us at Astronomer haven't followed traditional career paths, and we welcome it if yours hasn't either.

About this role:

Astronomer’s Data Science team is at the hub of everything that happens at our company — from dashboards for managing operations to models that identify new sales opportunities. We are looking for a full-time data engineer who will design and develop data pipelines and operational workflows. You will work within an agile, sprint-based team, using Airflow, SQL, and Python to build and orchestrate the data pipelines that power our business. You will also develop integrations between business applications like Salesforce and Zendesk.

What you get to do:

• Orchestrate pipelines that perform ETL, reverse ETL, business processes, data quality checks, and operational analytics.

• Work with a huge variety of different data sets — as part of real-world analytics projects that impact all of Astronomer’s operational …