Astronomer

Senior Software Engineer, Build

New York City · Senior · Full-time

Sponsorship not specified$200k-$230kDetected 20 days ago

PythonGoSQLVector DatabasesMachine LearningAirflowData EngineeringLLMsAgentic AIResearchLeadershipCommunicationCollaboration

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.

Leveraging this vantage point, our R&D team is developing a global context layer for data-an intelligence layer that powers search and discovery, code generation for data and analytics, and automated root cause analysis.
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.
Push the boundaries of applied AI - experiment with LLMs, embeddings, and cutting-edge retrieval techniques to create developer tools that deliver insights to you and our customers.
Experience building out agentic systems on top of frontier models.

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.
Strong collaboration and communication skills-you can explain complex systems clearly to both technical and non-technical audiences.
Familiarity with Apache Airflow or other orchestration tools.
Experience in search, IR, or large-scale data infrastructure.
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.
A collaborative approach and comfort working in an evolving, research-driven environment where ideas move quickly.
A passion for AI systems for data, developer tools, or machine learning infrastructure.
Demonstrated contributions to open source projects.

The estimated total compensation for this role ranges from $200,000 - $230,000 based on leveling and geography, along with an equity component and a comprehensive benefits package.

Influence the technical vision and architecture for the next generation of AI-driven data products.
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.

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.

we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

This listing is sourced directly from Astronomer's careers page and normalized into a canonical job model.