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Dagster LabsDL

Developer Success Engineer

Dagster is an open-source data orchestrator that enables data engineers to build and manage data pipelines efficiently, enhancing visibility, quality, and workflow management.

Dagster Labs

Employee count: 11-50

Salary: 160k-185k USD

United States only

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About us

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, Dagster+, our managed cloud, and Compass—our first AI product, which brings exploratory data analysis into Slack with governed context. 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 each other 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.

About the role

Dagster is an orchestration platform for the development, production, and observation of data assets. Our goal is to make Dagster+ the de facto hosted solution for structuring these systems.

You will be working within the Developer Success team, part of the engineering organization. In this role, you will provide technical support to Dagster+ customers and open-source users, collaborate with enterprise clients, create sustainable solutions through documentation, tooling, and process improvements, and provide feedback to relevant product teams to enhance product quality.

This is a full-time, competitively paid position with benefits. We are a distributed team with offices in San Francisco, New York, and Minneapolis. We have team members all over the U.S. and we are hiring fully remote candidates in the U.S. Every employee is provided a remote work stipend to cover the cost of home office equipment and anything else that makes your remote work location comfortable, productive, or successful. And if you’d rather not work from home, we’ll cover the cost of a coworking or office space if you’re fully remote.

Responsibilities

  • Technical Support
    • Provide technical support to Dagster+ customers and open-source users.
    • Provide technical guidance on data orchestration, integration, and how to write pipelines in Dagster (Python).
    • Diagnose and resolve issues related to Dagster installations, integrations, and deployments.
    • Troubleshoot issues with cloud services (AWS, GCP, Azure) and containerized environments (Kubernetes, Docker) to help customers implement solutions effectively.
    • Our support team operates between 6:00 AM and 5:00 PM PT to serve customers across multiple time zones. Flexibility within this window is essential to ensure timely and effective support.
  • Documentation, Tooling, and Process
    • Improve documentation for clarity and usability.
    • Improve support tooling and develop debugging resources to expedite issue resolution.
    • Provide feedback to engineering and product teams to drive product improvements.

Must-have Qualifications

  • 5+ years of relevant experience in technical support or a similar role.
  • Proficiency in Python.
  • Hands-on experience with distributed systems, containerized environments (e.g., Kubernetes, Docker), cloud platforms (AWS, GCP, Azure), and CI/CD workflows.
  • Strong written and verbal communication skills, with empathy for clients and ability to advocate for their needs while representing the company effectively.
  • Proven ability to troubleshoot and resolve complex technical challenges independently.
  • Proactive mindset for engaging with customer issues and driving improvement.

Nice-to-have Qualifications

  • Experience with data orchestration tools (e.g., Dagster, Airflow, Prefect).
  • Knowledge of data engineering.
  • Experience at high-growth SaaS startups.

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

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.

The estimated annual cash salary for this role is $160,000 to $185,000.

Other Resources

No recruiters please.

About the job

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Job type

Full Time

Experience level

Mid-level

Salary

Salary: 160k-185k USD

Location requirements

Hiring timezones

United States +/- 0 hours

About Dagster Labs

Learn more about Dagster Labs and their company culture.

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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.

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