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DLDagster is an open-source data orchestrator that enables data engineers to build and manage data pipelines efficiently, enhancing visibility, quality, and workflow management.
At Dagster Labs, our mission is simple but ambitious: to empower every organization to build a productive, scalable data platform. We’re the brains behind Dagster, the open-source tool developers love, and Dagster+, our managed cloud. From scrappy startups to global enterprises, thousands of teams trust us to power the data behind their analytics, machine learning, and AI breakthroughs.
We believe the AI era runs on reliable, high-quality data. That’s why we make data platforms easier to test, easier to understand, and actually enjoyable to use. Dagster is quickly becoming the backbone of how the world builds intelligent systems.
We’re a small, well-funded team with big energy and a track record of shipping software people rave about. We aim high and work as a team, holding ourselves to the highest standards and trusting eachother to deliver. We care about how we work together: no egos, no drama, just a lot of curiosity and a drive to make something meaningful.
If you want to help shape the future of data and AI and have fun doing it, come build with us.
Dagster is an orchestration platform for the development, production, and observation of data assets. Our goal is to make Dagster Cloud the de facto hosted solution for structuring these systems. As a member of the Platform Engineering Team, you will help advance the foundations of our Dagster+ product by evolving our Platform API and the systems that underpin it. The Platform Team tackles some of the most complex engineering challenges at the company, spanning a wide range of domains from CI/CD systems to database performance, deep Python internals, and infrastructure primitives. This is fundamentally a software engineering role: you will collaborate with other engineers to design and build scalable systems that power Dagster Cloud, with a strong emphasis on writing high-quality code. While operational excellence is critical to our work, we are looking for engineers who approach platform problems with a builder’s mindset, not a purely operational one.
This is a full-time position offering competitive salary, equity, and benefits. We are a distributed team with offices in San Francisco, New York, and Minneapolis. We’re open to hiring fully remote candidates who are currently authorized to work within the United States. We offer flexible remote work options so you can choose the environment that makes you most productive—whether that’s your home or a coworking space. Dagster Labs fosters a collaborative, remote-first culture, ensuring you have all the tools and support needed to thrive, no matter where you are.
Dagster is built in Python and TypeScript, and runs seamlessly across macOS, Linux, and Windows. Our frontend is powered by React and GraphQL, delivering a modern, intuitive developer experience. We value engineers who are comfortable working across the stack and making thoughtful contributions.
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.
The estimated cash salary for this role is $185,000-$235,000.
Full Time
Salary: 185k-235k USD
United States +/- 0 hoursLearn more about Dagster Labs and their company culture.
Dagster is a modern data orchestrator designed specifically for data and AI platforms, allowing teams to ship quickly and confidently. It integrates seamlessly with your existing data stack, empowering data engineers to deliver insights with exceptional speed and precision. The platform is known for its developer-centric features, offering a single pane of glass visibility into data quality, metadata, and lineage.
By utilizing Dagster, organizations can monitor data freshness and quality across their pipelines, ensuring robust observability and governance. The tool provides a rich data catalog, customizable metadata, and comprehensive insights into costs, making it a powerful asset for teams handling complex data workflows. With capabilities that allow for end-to-end data lineage, it helps organizations understand their data processing from ingestion to business intelligence output. Teams at high-growth startups and Fortune 500 companies alike have benefited from adopting Dagster, as it not only simplifies the orchestration of workflows but enhances collaboration and efficiency within data teams.
Learn about the tools and technologies that Dagster Labs uses to build, market, and sell its products.
Employees can create an account to update this tech stack.
DL11-50 employees
2018
Pete Hunt
PLUnited States onlyEmployee count: 51-200
Salary: 160k-180k USD
REUnited States onlyEmployee count: 501-1000
Salary: 191k-267k USD
WEUnited States onlyEmployee count: 5000+
Salary: 120k-160k USD
CRUnited States onlyEmployee count: 201-500
Salary: 130k-200k USD
CHUnited States onlyEmployee count: 51-200
Salary: 214k-248k USD
Explore the variety of open remote roles at Dagster Labs, offering flexible work options across multiple disciplines and skill levels.
DLUnited States onlyEmployee count: 11-50
Salary: 160k-185k USD
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