Dagster Labs - Software Engineer - Enterprise Readiness (Experienced)
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Requirements
• 5+ years of relevant software development experience • Fluent in one or multiple high-level programming languages like Python or JavaScript • Expertise across the full software development lifecycle, from planning to delivery and iteration • Strong written and oral communication skills • Proven effectiveness at contributing to and executing as part of a team • Experience with Dagster or related data orchestrators. • Experience with data engineering, MLOps, or AI pipelines (e.g. ETL tools, Spark, MLflow, Hugging Face, etc). • Experience with DevOps related technologies (Kubernetes, Docker, containers, CI/CD) • Experience in a high-functioning engineering organization working on large-scale distributed systems or B2B SaaS applications. • Passion for engaging directly with users for research and support. • You belong here • You belong here • We are committed to building an inclusive team and an open-source community where no one feels out of place. We know that teams with diverse backgrounds state their assumptions more explicitly, think more rigorously, and build better software. Plus it's more fun and interesting to work with a wide variety of perspectives. • You should apply to work at Dagster Labs if you want to work in, and help to build and strengthen, a high-performing software development environment where people of all backgrounds are welcome. • Our Stack • Our Stack • Dagster is built in Python and TypeScript to work on macOS, Posix, and Windows. We use GraphQL, Apollo, and React to develop beautiful frontend tooling. We integrate with a wide range of databases, data warehouses, orchestration engines, compute substrates, and cloud services. • The estimated cash salary for this role is $185,000 to $230,000. • Other resources: • Other resources: • The launch of Dagster blog post • Launching Dagster Cloud to GA blog post • Dagster Day 2022 video playlist • Our latest major release • Software-Defined Assets blog post, Data Council talk, and animated explainer • Our latest episode on the Data Engineering Podcast • Our philosophy on code reviews
Responsibilities
• Develop high-quality features, tools, and integrations that help customers smoothly adopt Dagster, including tools for migrations and seamless integrations with databases, ETL tools, and cloud services. • Work directly with users to understand challenges and translate feedback into actionable improvements. Partner with engineering teams to deliver practical solutions that align with real-world requirements. • Proactively identify and address opportunities for enhancement—be it in code quality, user documentation, or overall performance—and lead initiatives to make these improvements happen. • Improve and maintain critical systems that support Enterprise requirements.
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