Dagster Labs
Dagster Labs develops an open-source data orchestration platform for building, testing, and monitoring data pipelines.
Industry
Software Development, Data Engineering
Headquarters
San Francisco, California, USA
Team Size
51-200
Founded
2018
Remote
Fully remote or hybrid remote-friendly
Remote Hiring Profile
Dagster Labs hires remote teams with a flexible approach to remote work. They currently have 1 remote position listed on WorkAnywhere.pro.
About Dagster Labs
Dagster Labs develops Dagster, an open-source data orchestration platform that helps data engineers build, test, and monitor data pipelines. Their platform is used by data teams at companies ranging from startups to large enterprises to manage complex data workflows and infrastructure. The company provides both the open-source Dagster framework and commercial offerings with additional features and support. Dagster Labs operates with a distributed team culture, embracing remote work while maintaining strong collaboration through modern communication tools.
Tech Stack
Technologies this company commonly uses across product, data, and infrastructure.
Primary Tech
Company Culture
Dagster Labs fosters a collaborative engineering culture focused on building high-quality open-source software. The distributed team emphasizes asynchronous communication and documentation to enable effective remote work. Engineers are encouraged to take ownership of projects while working closely with colleagues across different time zones.
Our Values
Commitment to open-source development, focus on developer experience and productivity, emphasis on reliability and observability in data systems, collaborative problem-solving approach, and dedication to building tools that scale with user needs.
Benefits & Perks
Typical benefits include comprehensive health insurance, remote work flexibility, competitive compensation with equity options, professional development budget, home office stipend, and generous vacation policies. The company supports distributed work with tools and processes designed for remote collaboration.