United States onlyAstronomer 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. 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.
Requirements
- 3–10 years total experience, including 2+ years in a customer-facing technical role (Sales Engineering, Solutions Architect, etc.)
- 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
- Strong communication skills across technical and business stakeholders
- Startup-friendly mindset: proactive, adaptable, fast-moving
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
CA and US only