Full-Time

Software Engineer

Core

Posted on 8/16/2025

Dagster Labs

Dagster Labs

51-200 employees

Open-source data orchestration platform.

Compensation Overview

$165k - $210k/yr

San Francisco, CA, USA

In Person

Category
Software Engineering (2)
,
Required Skills
Python
Requirements
  • 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
Responsibilities
  • Contribute to the core Dagster framework by designing, implementing, and maintaining foundational features that power data orchestration at scale.
  • Enhance the open source developer experience through improved documentation, tooling, and workflows that help contributors and users be productive from day one.
  • Build and extend Components to enable modular, reusable patterns for data platform development.
  • Evolve the core API including features such as freshness policies, declarative automation, sensors, schedules, Ops & Jobs, configuration, resources, and legacy functionality.
  • Drive AI-driven innovation by exploring and implementing scaffolding and automation tools in the open source ecosystem.
  • Improve local development and testing workflows to make it faster, easier, and more reliable for developers to build, run, and validate their Dagster projects.
Desired 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 data platforms, 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.

Dagster Labs provides Dagster, an open-source data orchestration framework that treats data assets—such as tables, models, and reports—as a connected graph. It runs primarily in Python and offers cross-language orchestration through Dagster Pipes, supporting development from local testing to production. Unlike traditional task-based tools, its asset-centric, declarative model emphasizes data lineage, observability, and testability across the data development lifecycle. The company uses an open-core model: the core framework is free, while Dagster Cloud adds enterprise features like RBAC, audit logs, and hosted support, with serverless or hybrid deployment options.

Company Size

51-200

Company Stage

Series B

Total Funding

$48.8M

Headquarters

San Francisco, California

Founded

2018

Simplify Jobs

Simplify's Take

What believers are saying

  • Slack community reached 6,346 members by May 2023.
  • Customers include Flexport, Loom, Vox Media, Kraft Heinz.
  • Raised $33M Series B in May 2023 from Sequoia, Index.

What critics are saying

  • Prefect Cloud 3.0 captures 25% more enterprise share from Dagster.
  • Airflow 3.0 replicates asset-centric DAGs, commoditizing Dagster.
  • Anthropic Claude Workflows obsoletes Dagster for AI pipelines.

What makes Dagster Labs unique

  • Dagster uses asset-centric model unlike task-based orchestrators.
  • Dagster provides integrated lineage and observability for assets.
  • Dagster Pipes enables cross-language orchestration in Python-first platform.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Flexible Work Hours

Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

6%

2 year growth

4%
VentureBeat
Oct 24th, 2023
Open Source Lakefs Data Version Control Levels Up To 1.0

VentureBeat presents: AI Unleashed - An exclusive executive event for enterprise data leaders. Network and learn with industry peers. Learn More. Treeverse, creators of the open-source lakeFS data version control system, today announced the release of lakeFS 1.0. This major update brings production-level stability, security and performance to the data lake version control software.The lakeFS project got its start back in 2020 and has been steadily improving in the years since, providing an open source technology to help organizations with version control for object storage based data, stored in data lakes.Treeverse, the lead company behind the technology, raised $23 million back in 2021 to build out the concept that delivers capabilities that are similar to the open source Git version control system, to data lakes. In 2022, the technology got a cloud service with Treeverse launching the  lakeFS cloud offering providing a managed cloud service data version control

Technical.ly
Aug 9th, 2023
Should Startups Worry About Github Stars?

This is a guest post by Fraser Marlow, Elementl’s Philly-based head of marketing. In May of this year, our open-source software startup Elementl closed a successful Series B round. In the run-up to the fundraising, I spent a fair amount of time preoccupied with GitHub stars. If you are unfamiliar with these, you can think of them as the “like” button on an open-source project. When developers find a project they like, they can bookmark it with a star or simply “star” the repo as a general vote of appreciation

TechCrunch
May 24th, 2023
Elementl Raises $33M Series B For Its Data Orchestration Platform Based On Dagster

Elementl, a startup that is building a data platform based on the popular Dagster orchestrator, today announced that it has raised a $33 million Series B round led by Georgian. This round also saw participation from new investors 8VC and Human Capital, as well as existing investors Sequoia, Index, Amplify, Hanover and Slow. The new round brings the company’s total funding to $48.8 million.As is so often the case, Dagster founder Nick Schrock also founded Elementl after many years at Facebook, where he also co-created GraphQL. Schrock is currently the company’s CTO and chairman, with his former Facebook colleague Pete Hunt now the company’s CEO. As Hunt told me, he had invested in Elementl as part of its 2017 seed round — mostly as a bet on Schrock. Hunt admitted that at that point, he didn’t really understand the value proposition of Dagster but as he worked on more data problems at Facebook and then later at Smyte, the anti-abuse service he co-founded and later sold to Twitter, the need for better data orchestration quickly became clear to him.Image Credits: Elementl“I realized that there are these big complex data pipelines that are making very serious decisions — not just taking down social media posts but also deciding who gets a mortgage, all that stuff

TechCrunch
May 24th, 2023
SoundCloud lays off 8% of staff as it aims to reach profitability this year | TechCrunch

Last month, SoundCloud launched a fan-engagement tool for artists to get more insights and communicate with their fans.

INACTIVE