We're the team behind Dagster

The open-source data orchestrator for machine learning, analytics, and ETL

Dagit app screenshot

Check out Dagster

Dagster is a data orchestrator for machine learning, analytics, and ETL

Dagster is a data orchestrator for machine learning, analytics, and ETL

Dagster lets you define pipelines in terms of the data flow between reusable, logical components, then test locally and run anywhere. With a unified view of pipelines and the assets they produce, Dagster can schedule and orchestrate Pandas, Spark, SQL, or anything else that Python can invoke.

Dagster is designed for data platform engineers, data engineers, and full-stack data scientists. Building a data platform with Dagster makes your stakeholders more independent and your systems more robust. Developing data pipelines with Dagster makes testing easier and deploying faster.

Learn more about Dagster

Team

Elementl is building the next generation of open source data tools. As part of our founding team, you’ll work with an experienced team of engineers with a passion for developer tools, quality engineering, and moving fast.

Nick Schrock
Founder & CEO
Max Gasner
Software Engineer
Alex Langenfeld
Software Engineer
Sashank Thupukari
Software Engineer
Phil Rha
Software Engineer
Catherine Wu
Software Engineer
Yuhan Luo
Software Engineer
Sandy Ryza
Software Engineer
Johann Miller
Software Engineer
Daniel Gibson
Software Engineer
Christopher DeCarolis
Software Engineer
Isaac Hellendag
Software Engineer
Mina Choe
Operations
Rex Ledesma
Software Engineer
Owen Kephart
Software Engineer
Sid Menon
Software Engineering Fellow
Jordan Sanders
Software Engineer

Be a part of the team

We're hiring across engineering, product, and operations. Check out our open roles below.

© 2021 Elementl, Inc