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Dagster LabsDL

Software Engineer - Enterprise Readiness (Experienced; Remote)

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: 185k-230k USD

United States only

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About us

We’re an early stage, well-funded startup team with a proven track record of shipping open source software with global adoption. 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 driven software engineer who thrives at solving customer problems while improving a platform? The Enterprise Engineering team at Dagster helps our largest customers be successful with Dagster, while improving Dagster+ with features aimed at our larger organizations. We work on improving and extending Dagster to meet the needs of large organizations. This includes everything from eliminating scaling bottlenecks in the product to building new features and integrations to support enterprise use cases. In addition to technical skills, you’ll have a chance to work directly with customers implementing Dagster and synthesize their feedback into immediately actionable work that unblocks the customer and improves Dagster as a product. 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, 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.

You may need to occasionally travel to meet with customers when necessary.

Responsibilities

  • Develop high-quality features, tools, and integrations that help customers smoothly adopt Dagster, including tools for migrations and seamless integrations with databases, ETL tools, and cloud services.
  • Work directly with users to understand challenges and translate feedback into actionable improvements. Partner with engineering teams to deliver practical solutions that align with real-world requirements.
  • Proactively identify and address opportunities for enhancement—be it in code quality, user documentation, or overall performance—and lead initiatives to make these improvements happen.
  • Improve and maintain critical systems that support Enterprise requirements.

Must-have Qualifications

  • 5+ years of relevant software development experience
  • Fluent in one or multiple high-level programming languages like Python or JavaScript
  • 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

Nice-to-have Qualifications

  • Experience with Dagster or related data orchestrators.
  • Experience with data engineering, MLOps, or AI pipelines (e.g. ETL tools, Spark, MLflow, Hugging Face, etc).
  • Experience with DevOps related technologies (Kubernetes, Docker, containers, CI/CD)
  • 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 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 $185,000 to $230,000.

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About the job

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Job type

Full Time

Experience level

Mid-level

Salary

Salary: 185k-230k 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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