TLDR

• Build a beautiful and intuitive next generation data tool.

• Tech stack: TypeScript, React, Python.

• Work autonomously, entrepreneurially, and with a close knit team

• Partner with founders who worked at Airbnb for over 9 years combined.

• Backed by Google’s Gradient Ventures because they understand data tools.

• Backed by John Riccitiello, CEO @ Unity

• Backed by Guillermo Rauch, CEO @ Vercel

Why we exist

We believe in a world where every developer can create transformational user experiences through the products they build.

Our mission is to make data engineering more accessible so that developers can harness the power of data to create magical experiences.

🧙 What is Mage

Mage is an open-source data pipeline tool for transforming and integrating data.

The modern replacement for Airflow.

Our mission is to make data engineering more accessible so that developers can harness the power of data to create magical experiences.

https://github.com/mage-ai/mage-ai

Data engineers use Mage to:

1. Integrate and synchronize data from 3rd party sources.
2. Build real-time and batch pipelines to transform data using Python, SQL, and R.
3. Run, monitor, and orchestrate thousands of pipelines without losing sleep.

Features include:

• Orchestration: Schedule and manage data pipelines with observability.
• Notebook: Interactive Python, SQL, & R editor for coding data pipelines.
• Data integrations: Synchronize data from 3rd party sources to your internal destinations.
• Streaming pipelines: Ingest and transform real-time data.
• DBT: Build, run, and manage your DBT models with Mage.

Traction

<aside> 🌠 GitHub stars +6.9K

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<aside> 👩‍👦‍👦 Slack community members +5.2K

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<aside> 🚀 Companies in production +550

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Responsibilities

• Build beautiful and intuitive data tools for developers.

• Design technical architecture for backend applications, API servers, data pipelines, etc.

• Create innovative product ideas.

• Mentor engineers.

Example projects

• Check out the public roadmap for projects that you’ll be working on.

Qualifications

• +5 years of coding

• Experience using Python

• Experience working with cloud providers (e.g. AWS, GCP, Azure)

• Experience writing technical design documents

• Can work autonomously and collaborate with other engineers

• Excited to lead, mentor, and learn

• Excels in ambiguous environments and can wear multiple hats