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. About this role: We’re in a unique position at Astronomer: 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 recently released an AI-empowered IDE for data - an intelligence layer that powers search and discovery, and code generation for data engineering and analytics. LLMs are already quite good at writing Python and SQL code against data platforms; the Astro IDE gives data practitioners everywhere a better path to use LLMs effectively for their specific day-to-day use. As a Software Engineer on this team, you’ll help design and build this foundation and the applications around it. You’ll work on some of the hardest and most exciting challenges in data - search, information retrieval, and AI for data practitioners - while collaborating with a small, highly skilled team that values velocity, creativity, and impact. 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. Apache Airflow is one of the most popular open-source data platform tools. 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. At Astronomer, we’re the largest contributors to the project and are building commercial products around Airflow to make it easier to use, run, and scale.