Field Engineer, SWAT

Astronomer designed Astro, an industry-leading, orchestration-first DataOps platform for data teams. Powered by Airflow, Astro accelerates building reliable data products that unlock insights, unleash AI value, and drive data-driven applications.

We’re a globally-distributed and rapidly growing venture-backed team of learners, innovators and collaborators. Our mission is to empower data teams to bring mission-critical analytics, AI, and software to life.  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:

As a Field Engineer, SWAT, you will join our field team to deliver world-class technical solutions to customer and prospect business problems. In this role, you will be exposed to a wide range of use cases where Apache Airflow sits at the center of the solution.

The impacts you will make will enable customers to rapidly grow their businesses by adopting Astronomer products to meet their goals.

What you get to do:

• Implement Astronomer’s software and services in the core of some of the world’s largest businesses and organizations.

• Guide our largest and most complex customers in their Apache Airflow journeys

• Act as the core interface between the Customer, Sales, and Product to ensure that the broader solution around the platform is solving pain points and bringing value to customers.

What you bring to the role:

• Strong Kubernetes experience (GKE/EKS/AKS or OpenShift preferred)

• Expertise in at least one programming language.

• Good understanding of network complexities and architectures

• Versatile Terminal and CLI user, this will be a hands-on role, frequently without access to a GUI

• Experience setting up and troubleshooting distributed systems

• Experience with complex SaaS infrastructure operating at scale

• Experience with at least one major cloud provider API/tooling

• Ability to read code

• Work effectively with git

• Cloud-native data architecture experience

• Strong customer facing skills

• Strong oral and written communications skills - should be able to explain complex technical issues to non-technical folks succinctly

Bonus points if you have:

• Prior experience using or administering Apache Airflow, Autosys, UC4, Temporal, Dagster, or Prefect

• Proficiency in Python/Go.

• Enterprise data experience with or in regulated environments

• Experience with scripting/automation specifically infra (Pulumi, Terraform, Ansible, etc.)

• 5+ years experience in a data engineering role or equivalent

• 3+ years in a customer-facing role

• Experience with ElasticSearch/Prometheus/Vault

The estimated total compensation for this role ranges from $170,000 - $200,000, along with an equity component. This range is merely an estimate, and the width of the range reflects willingness to consider candidates with broad prior seniority. Actual compensation may deviate from this range based on skills, experience, and qualifications.

#LI-Remote

At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.  Astronomer is a remote-first company.