Since 2017, the number of Python users has been increasing by millions annually. The vast majority of these people leverage Python as a tool to solve problems at work. Our mission is to make them autonomous when they create and use data in their organizations. For this end, we are building an open source Python library called data load tool (dlt). Our users use dlt in their Python scripts to turn messy, unstructured data into regularly updated datasets. It empowers them to create highly scalable, easy to maintain, straightforward to deploy data pipelines without having to wait for help from a data engineer. We are dedicated to keeping dlt an open source project surrounded by a vibrant, engaged community. To make this sustainable, dltHub stewards dlt while also offering additional software and services that generate revenue (similar to what GitHub does with Git). dltHub is based in Berlin and New York City. It was founded by data and machine learning veterans. We are backed by Dig Ventures and many technical founders from companies such as Hugging Face, Instana, Matillion, Miro, and Rasa.

Engineering

Rust, Marimo, Streamlit, Jupyter, AWS, Azure, GCP

Team values autonomy, efficiency, and personal/professional growth with a budget for learning.