Astronomer
Senior Software Engineer - Build, NYC
New York City · Senior · Full-time
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About the role
- It powers the data platforms at nearly every large company and fast-growing startups: Airbnb, Uber, OpenAI, Anthropic, Nike, Capital One, Disney all use Airflow extensively.
- We're in a unique position: as the company behind Apache Airflow, we see data as it moves across entire organizations-from raw ingestion to production dashboards, machine learning models, and AI products.
Responsibilities
- As a Software Engineer on this team, you'll help design and build this foundation and the applications around it.
- This role sits at the intersection of applied research, software engineering, and product: we think it takes someone who can work across the stack to build, release, and scale products successfully in this space.
- Shape the future of AI for data engineering - build intelligent systems that understand, reason about, and optimize the flow of data across entire organizations.
- Design and engineer the brain of Astronomer's context layer, crafting components that power data modeling, semantic search, retrieval, and code generation.
Requirements
- 5-8 years of software engineering experience with Python or Go
- Familiarity with early-stage product development
- Experience with LLMs, vector databases, embeddings, or other applied AI areas-or a strong desire to dive in.
- Familiarity with Apache Airflow or other orchestration tools.
- Empathy for users, and a deep interest in improving the workflows of data professionals.
- comfortable working with ambiguity in a fast-changing field.
- A creative, experimental mindset: you enjoy exploring uncharted areas, validating hypotheses, and learning through iteration.
- Strong collaboration and communication skills-you can explain complex systems clearly to both technical and non-technical audiences.
- A collaborative approach and comfort working in an evolving, research-driven environment where ideas move quickly.
- Demonstrated contributions to open source projects.
- Experience in search, IR, or large-scale data infrastructure.
Skills
- Turn research into reality - work side by side with R&D and product teams to bring early AI concepts to life in the product experience.
- Influence the technical vision and architecture for the next generation of AI-driven data products.
- Apache Airflow is one of the most popular open-source data platform tools.
- A passion for AI systems for data, developer tools, or machine learning infrastructure.
Compensation
- The estimated total compensation for this role ranges from $210,000 - $250,000 based on leveling and geography, along with an equity component and a comprehensive benefits package.
Company info
- 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.
This listing is sourced directly from Astronomer's careers page and normalized into a canonical job model.