The company
Data Mechanics is a Y Combinator startup based in
Paris, founded by Databricks and BlaBlaCar engineers passionate about
data science and automated infrastructure.
We’ve just raised a
seed round and we’re building a hassle-free managed Spark platform
backed by Kubernetes. We're on a mission to provide engineers and data
scientists with the best big data platform in the world to scale their
operations without the hassle of infrastructure management.
Spark
is the swiss-army knife of data operations, ranging from data
exploration and analytics to ML model training and ETLs. By combining
Spark with Kubernetes, we can abstract infrastructure from the user and
bring the best of modern software development to the data stack!
The opportunity
As
one of our first engineers, you’ll build with us the containerized data
platform from its inception. You’ll contribute to major product and
technical decisions that will impact the business in the long term and
set the standards for your future teammates.
You will:
-
Build a data platform running Spark on Kubernetes. Features include
monitoring and administration dashboards, container images management
interface, integration with OS tools like Jupyter notebooks.
- Define the development standards and processes at Data Mechanics
- Help the recruiting effort and onboard your future teammates
- Join a young and fast-growing team building a cutting-edge product from scratch
Requirements:
- You have a BS/MS/PhD in a scientific field or equivalent experience
- You have at least 2 years’ experience contributing to a software engineering team
- You have experience programming web-based SaaS interfaces
- You love to make complex things easy through powerful abstraction and intuitive UX
Bonus points:
- You have experience building dev tools interfaces
- You have built data products with data engineers