EngineeringHybrid

Sales Engineer

Astronomer · Hybrid

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Last seen by MeritLog September 10, 2026Source: AshbySource version: ashby-public-job-posting-v1

MeritLog read this listing from Astronomer's Ashby job board and last checked it on September 10, 2026.

Source: the employer's Ashby job board. Open the original listing for current details.

Job details

Work model: Hybrid
Salary: Not listed by source
Location: New York City
Company website: www.astronomer.io

Hiring context

How this role compares at Astronomer

Astronomer has 20 live roles in MeritLog’s catalog across 3 job families, and 12 of them are in engineering. 0 of those listings publish a pay range, a disclosure rate of 0%.

Astronomer concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What they're asking for

Python fluency, CLI comfort, and experience building with tools like DockerSkill
Familiarity with cloud-native data architectures (AWS, GCP, or Azure)Skill
Understanding of data engineering workflows: orchestration, ELT/ETL, DAGs, CI/CDSkill
Exposure to platforms like Airflow, Snowflake, Databricks, BigQuery, dbt, or similarSkill
3–10 years total experience, including 2+ years in a customer-facing technical role (Sales Engineering, Solutions Architect, etc.)Experience
Strong communication skills across technical and business stakeholdersSkill
Startup-friendly mindset: proactive, adaptable, fast-movingSkill
Experience with observability, Kubernetes, or helping teams scale modern data stacks.SkillPreferred
We’re defining the DataOps layer of the modern data stack - not just orchestrationSkillPreferred
Airflow is the standard - we’re making it enterprise-ready, secure, and scalableSkillPreferred
Backed by top-tier investors and trusted by data-forward organizationsSkillPreferred
You’ll work with a team that values clarity, ownership, and high standards - without egoSkillPreferred

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

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 http://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 work location for this role is based in our New York office and follows a hybrid work model. The position requires regional travel of approximately 25%, aligned with business needs. 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. Why Astronomer? - 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. 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-Fulltime #LI-Hybrid 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.

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