Software Engineer - Compass

Reposted 18 Days Ago
Easy Apply
San Francisco, CA
In-Office
165K-210K Annually
Mid level
Software
The Role
Join Dagster Labs as a Software Engineer to build and enhance the Dagster platform, focusing on user-facing features and integrating AI capabilities.
Summary Generated by Built In
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

Are you a driven software engineer who thrives at the intersection of product development, customer success, and user adoption? 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.

We’re hiring Product Engineers to accelerate Compass adoption and impact. You will shape the product by turning ambiguous needs into crisp, Slack-native workflows; ship user-facing features that deliver answers in minutes with governed, learning context; work across the stack from product UX to backend, data integrations, and infrastructure, and iterate closely with users and industry-leading partners to turn signal into outcomes.

This is a full-time position offering competitive salary, equity, and benefits. We are a distributed team, and this role is remote within the United States; we have optional in-person 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.

Responsibilities
  • Write clean, reliable backend code (in Python) and frontend code (in Typescript/React), contributing across the full stack as needed
  • Prototype quickly, ship often, and collaborate closely with teammates to turn ideas into production features.
  • Improve performance, reliability, and user experience as the product evolves.
  • Build end-to-end features that integrate with AI to generate insights on big data.
  • Shape user interactions that happen through asynchronous workflows and lightweight web components.
  • Engage directly with users to gather feedback and turn insights into better experiences.
Must-have Qualifications
  • 3+ years of relevant software development experience
  • Proficiency in Python or a similar high-level programming language, and working familiarity with frontend development.
  • 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
  • Interest in working at a fast-moving, dynamic startup environment
Nice-to-have Qualifications
  • Experience with building tools using generative LLMs.
  • Experience with full-stack application development, infrastructure as code, and Docker-based deployment patterns.
  • Experience with growth-oriented engineering initiatives.
  • 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

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 cash salary for this role is $165,000-$210,000.

Other resources:
  • The launch of Dagster blog post
  • Launching Dagster Cloud to GA blog post
  • Introducing Compass: Data-driven decisions right in Slack
  • The Data Engineering Impedance Mismatch blogpost/presentation
  • Our latest major release - Dagster 1.10
  • Software-Defined Assets blog post, Data Council talk, and animated explainer
  • Our latest episode on the Data Engineering Podcast
  • Our philosophy on code reviews

Top Skills

Docker
GraphQL
Python
React
Typescript
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The Company
HQ: San Francisco, California
80 Employees
Year Founded: 2018

What We Do

Building out Dagster, the data orchestration platform built for productivity. Join the team that is hard at work, setting the standard for developer experience in data engineering.

Dagster Github: https://github.com/dagster-io/dagster

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