Sales Engineer

Job Overview

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.

Job Description

To learn more, visit www. astronomer. io . About this role: Astronomer is on a mission to make DataOps a first-class discipline in every modern data organization.

As the driving force behind Apache Airflow, we're powering mission-critical pipelines at scale for companies like Condé Nast, Rappi, Sonos, and more.

We're expanding our Sales Engineering team to help data teams orchestrate, observe, and optimize their data pipelines with confidence. The position requires regional travel of approximately 25%, aligned with business needs.

We’re not looking for a perfect checklist match - but here’s what a strong candidate might bring: Python fluency, CLI comfort, and experience building with tools like Docker Familiarity with cloud-native data architectures (AWS, GCP, or Azure) Understanding of data engineering workflows: orchestration, ELT/ETL, DAGs, CI/CD Exposure to platforms like Airflow, Snowflake, Databricks, BigQuery, dbt, or similar 3–10 years total experience, including 2+ years in a customer-facing technical role (Sales Engineering, Solutions Architect, etc.

) Strong communication skills across technical and business stakeholders Startup-friendly mindset: proactive, adaptable, fast-moving Bonus points if you have: Experience with observability, Kubernetes, or helping teams scale modern data stacks.

Why Astronomer?

Key Responsibilities

• 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.
• What You Get to Do: Lead the technical sales motion in partnership with Account Executives - discovery, demos, proof-of-concepts, and architecture discussions Understand customer pain and translate it into high-impact technical solutions tied to business value Build and deliver tailored demos and POCs using Python, Airflow, and related tools Guide customers through modern DataOps strategies - from orchestration to observability and automation Influence product feedback loops, collaborate cross-functionally, and contribute to go-to-market strategy What you bring to the role: You’re technically sharp, customer-oriented, and energized by solving real problems with data teams.
• We’re not looking for a perfect checklist match - but here’s what a strong candidate might bring: Python fluency, CLI comfort, and experience building with tools like Docker Familiarity with cloud-native data architectures (AWS, GCP, or Azure) Understanding of data engineering workflows: orchestration, ELT/ETL, DAGs, CI/CD Exposure to platforms like Airflow, Snowflake, Databricks, BigQuery, dbt, or similar 3–10 years total experience, including 2+ years in a customer-facing technical role (Sales Engineering, Solutions Architect, etc.) Strong communication skills across technical and business stakeholders Startup-friendly mindset: proactive, adaptable, fast-moving Bonus points if you have: Experience with observability, Kubernetes, or helping teams scale modern data stacks.

Required Skills and Qualifications

• We’re not looking for a perfect checklist match - but here’s what a strong candidate might bring: Python fluency, CLI comfort, and experience building with tools like Docker Familiarity with cloud-native data architectures (AWS, GCP, or Azure) Understanding of data engineering workflows: orchestration, ELT/ETL, DAGs, CI/CD Exposure to platforms like Airflow, Snowflake, Databricks, BigQuery, dbt, or similar 3–10 years total experience, including 2+ years in a customer-facing technical role (Sales Engineering, Solutions Architect, etc.) Strong communication skills across technical and business stakeholders Startup-friendly mindset: proactive, adaptable, fast-moving Bonus points if you have: Experience with observability, Kubernetes, or helping teams scale modern data stacks.
• Actual compensation may deviate from this range based on skills, experience, and qualifications.

Benefits and Perks

• We’re not looking for a perfect checklist match - but here’s what a strong candidate might bring: Python fluency, CLI comfort, and experience building with tools like Docker Familiarity with cloud-native data architectures (AWS, GCP, or Azure) Understanding of data engineering workflows: orchestration, ELT/ETL, DAGs, CI/CD Exposure to platforms like Airflow, Snowflake, Databricks, BigQuery, dbt, or similar 3–10 years total experience, including 2+ years in a customer-facing technical role (Sales Engineering, Solutions Architect, etc.) Strong communication skills across technical and business stakeholders Startup-friendly mindset: proactive, adaptable, fast-moving Bonus points if you have: Experience with observability, Kubernetes, or helping teams scale modern data stacks.
• We’re defining the DataOps layer of the modern data stack - not just orchestration Airflow is the standard - we’re making it enterprise-ready, secure, and scalable Backed by top-tier investors and trusted by data-forward organizations You’ll work with a team that values clarity, ownership, and high standards - without ego The estimated total compensation for this role ranges from $200,000 - $250,000, along with an equity component.

Work Location and Schedule

This role is listed as Remote USA with location information shown as Remote USA. The employment type is Full Time.

About the Company

Astronomer is the organization connected with this listing. USA Jobs Today displays this opportunity for job discovery only, so applicants should verify company details, application instructions, and eligibility on the official employer website.