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Dagster LabsDL

Software Engineer - Observability Product

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: 190k-220k 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, 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, and the best AI companies are built on top of Dagster.

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

We’re looking for a product-minded software engineer to join the team working on Dagster+, our hosted SaaS product, to help make Dagster the de facto cloud solution for organizations to build, manage, and leverage their data assets. In this role, you will drive improvements to Dagster’s backend system, underlying open source framework, and product UI to unlock new capabilities for our users. You will solve difficult technical problems throughout the software stack and work collaboratively with the rest of the team to plan and execute. You will instrument, monitor, debug, and optimize distributed systems from end to end. You’ll talk directly to our users (data engineers and platform owners) to understand how best to improve our product.

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

  • Lead and execute product development initiatives from prototype to user adoption, in collaboration with product and design and your peers in engineering
  • Participate in technical architecture discussions and help the team make key technical decisions.
  • Solve difficult technical problems throughout the software stack and get projects over the finish line, across front-end, back-end, or infrastructure.
  • Proactively identify and address opportunities for enhancement—be it in code quality, user experience, or overall performance—and lead initiatives to make these improvements happen.

Must-have Qualifications

  • 5+ years of relevant software development experience
  • Fluency in Python or a similar high-level programming language, and proficiency with frontend development (we use React)
  • Expertise across the full software development lifecycle, from planning to delivery and iteration
  • Experience in a high-functioning engineering organization working on B2B SaaS applications or large-scale distributed systems
  • Strong written and oral communication skills
  • Proven effectiveness at contributing to and executing as part of a team

Nice-to-have Qualifications

  • Interest in progressing into a tech lead role, and relevant experience
  • Experience building services on Amazon Web Services, Kubernetes & Postgres
  • Experience with Dagster or related data orchestrators.
  • Experience with using or supporting tools in the Modern Data Stack
  • Experience engaging directly with users for research and support.

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.

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.

The estimated cash salary for this role is $190,000 - $220,000.

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Job type

Full Time

Experience level

Salary

Salary: 190k-220k USD

Experience

5 years minimum

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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