our mission

Building the data platform of tomorrow

We give superpowers to the data scientists and engineers of the world so they can make sense of their data and build applications at scale on top of it. Today it takes a lot of manual and mechanical work to build, deploy, configure, and maintain big data applications. Our team of data scientists, data engineers and data infrastructure experts got together around the mission to build the most easy-to-use platform for our peers.

A containerized and serverless infrastructure that lets you unleash the power of Apache Spark on massive datasets in the cloud as easily as if you’re working locally. Focus on your data while we handle the mechanics.

Our Culture

If you take out the team in teamwork, it’s just work. Now who wants that?

Nurture the team

The team is what we like the most about our work. We encourage everyone to adopt a trusting and benevolent attitude, to teach and learn from others everyday, and to take initiatives and find new ways to make the team better. Nurturing the team is your #1 individual contribution.
‍

Seek the shortest path to value

We're pragmatics. We build products for the value they deliver to our users. We believe that simple ideas are powerful, so we implement them first and then iterate on them. We rely on each other to constantly make these tradeoffs in our area of ownership.
‍

Proud of your work, humble about yourself

We're passionate about our work and technology. We like to take on new challenges and celebrate our achievements. We also acknowledge that we only know so much and that we grow by hearing out each other.
‍

we need you

Join Us

We’re a group of passionate individuals who like to spend time together. We like challenges and we challenge ourselves. Together we’re building this company from the ground up. Does it sound like you would be a good fit? Check out our open positions or reach out to us directly.

We are hiring !

About Us

Data Mechanics is a managed Spark platform deployed on a Kubernetes cluster inside your cloud account (AWS, GCP, or Azure). We focus on making Apache Spark easy-to-use and cost-effective for data engineering workloads.

NAvigation

HomePricingDelightAbout usBlogContactWe're hiring!

Resources

Platform DocumentationDelight DocumentationApache SparkSpark on Kubernetes

Legal

Privacy PolicyDelight Terms Of Service

Stay connected

© Data Mechanics 2020. All rights reserved.
🍪 We use cookies to optimize your user experience. By browsing our website, you agree to the use of cookies.
close
30