Senior Python Software Engineer-Data

We’re looking for a Senior Software Engineer to work closely with our CTO and product team. If you thrive in the fast-moving environment of a small team and want to make a tangible impact on the product of an early-stage startup, this role is for you.
At dltHub, we’re building dlt, an open-source library that transforms messy, unstructured data into clean, actionable datasets. Designed for anyone who knows Python, dlt automates tedious data engineering tasks and is already trusted by over 1,000 customers in production .
We’re developing a paid product and looking for a passionate Python engineer to shape the future of dltHub. Our goal is to establish dlt as the open source standard for data loading and revolutionize data engineering in the era of LLMs and agents.
It was founded by data and machine learning veterans. If you are fascinated by the emerging ecosystem of data and machine learning libraries in Python and want to contribute to its growth, this job is for you.

You really like Python and are fluent in writing Python code (e.g., Python typing, unit testing, writing docstrings, etc.)
You know what the Modern Data Stack is and have experience interacting with its components like warehouses, data lakes etc.
You know some of the Python libraries and technologies that dlt interacts with i.e. vector stores, data lakes, storage buckets, or local engines like DuckDB, Arrow, Iceberg or delta-rs.
You know SQL, relational model of a database, and have an understanding of transactions, atomicity, concurrency, and similar fundamentals of DBMSes.
You have a degree in computer science, data science, or other equivalent experience.
pull requests, code reviews, CI/CD services, etc.)
This involves both writing Python code and listening to our customers, who are running sophisticated data platforms we augment.
You’ll be on top of recent trends in how data platforms are built and will be able to serve as a technical expert or architect. Maintain the open source project with the team (e.g., review PRs, resolve issues, talk with community contributors, write docs, etc.)

Experience with DevOps (e.g., CI systems like GitHub Actions, Docker, Kubernetes, AWS/GCP/Digital Ocean, etc.)
Experience with warehouses and data lakes: Benefits
We are an office-first company but give you plenty of opportunities for deep work and work from home.