Astronomer is the company behind Apache Airflow — Astro is the managed Airflow platform plus Cosmos (dbt-on-Airflow), Astro Observe, and Astro AI. The interview emphasizes data-orchestration internals, Kubernetes-on-Airflow, and the engineering of multi-tenant orchestration at scale.
Process
Recruiter screen → 60-minute coding phone (Python preferred) → onsite virtual: 2 coding, 1 system design, 1 craft deep-dive, 1 behavioral. Cycle: 3–4 weeks.
What they actually ask
- Design a multi-tenant Airflow scheduler at thousands of customers
- Design a Kubernetes-based task executor with secure isolation
- Design a lineage and observability pipeline for orchestrated data
- Coding: medium DSA, often with workflow, scheduling, or DAG framing
- Behavioral: ownership, OSS empathy, customer-driven mindset
Levels and comp (2026)
- SE: $160K–$210K total
- Senior SE: $215K–$295K
- Staff: $300K–$410K
- Principal: $420K–$560K
Prep priorities
- Be fluent in Python (Airflow core) and Go (some platform services)
- Understand Airflow internals (scheduler, executor, DAG parsing, XCom)
- Brush up on Kubernetes operator patterns and OpenLineage
Frequently Asked Questions
Is Astronomer remote-friendly?
Distributed-first, hubs in NYC and Cincinnati. Most engineering roles fully remote across US/EU.
How does Astronomer compare to Prefect or Dagster?
Astronomer is the OSS-Airflow incumbent (largest community). Prefect is the modern Pythonic alternative. Dagster has a stronger asset-based mental model. Comp is competitive for OSS infrastructure.
What is the engineering culture?
OSS-driven, customer-focused, calmer pace post-2024 reorgs. Strong written-first culture.