About us

At Dagster Labs we’re an early-stage, well-funded startup team with a proven track record of shipping open-source software with global adoption. Our mission is to empower organizations to create scalable, productive data platforms. We put a premium on respectful, clear, and complete communication, and we expect each other to be creative, curious, effective, and empathetic.

We believe deeply that the right tools and abstractions enable not just technological transformation, but also organizational transformation. We strive to put the user and their hard work at the center of our decision making. In practice, that means we are looking for engineers who want to write clean APIs and helpful error messages, and who always try to understand user needs when designing a new system.

All of our open-source work is done publicly. You can gain context about how we collaborate as a team and the problems we work on by exploring GitHub and looking at our code reviews.

About the role

Are you a motivated college student eager to kickstart your career in software engineering? Join the Dagster Labs engineering team, where you'll contribute to building and enhancing the Dagster platform, empowering organizations to create scalable and productive data platforms. This is your chance to make a direct impact by solving real-world problems and delivering meaningful solutions for our users and customers.

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. While we are a distributed team, this role is required to be in-office at least 2x a week for the first 6 months. 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.

Responsibilities

  • Develop a deep understanding of our product areas, codebase, and/or underlying systems.
  • Work independently to tackle challenges, leverage available resources, and complete tasks efficiently while maintaining high standards of problem-solving and judgment.
  • Learn and apply Dagster Labs' development standards, from writing code to deployment, taking on increasingly complex projects as you grow.
  • Write high-quality, well-tested code using modern abstractions, frameworks, and best practices.
  • Collaborate with team members and take action on feedback, coaching, and mentorship to continuously improve.
  • Able to work from our SF/NYC office at least twice a week for the first 6 months. Working in-office with your mentor ensures effective onboarding, allows you to build relationships, and get immediate feedback/guidance.

Must-have Qualifications

  • B.S. or M.S. in Computer Science or a related field.
  • At least two previous software engineering internships or equivalent hands-on experience.
  • Proficiency in an industry-standard programming language such as Python, Java, C++, or JavaScript.
  • Bachelor's degree (or equivalent degree/experience) must be completed prior to joining.

Nice-to-have Qualifications

  • Experience with developing, releasing, and running large-scale web applications infra.

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 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 $150,000 - $160,000.

Other resources

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