Monograph
Front-end Engineer (Senior+)
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.
mage-ai updated 1 month ago.
Data engineers use Mage to:
Integrate and synchronize data from 3rd party sources.
Build real-time and batch pipelines to transform data using Python, SQL, and R.
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 GitHub stars +6.9K
Slack community members +5.2K
Companies in production +550
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 front-end work experience using the latest and greatest web technologies and frameworks
Front-end work experience with React
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
Culture + Benefits Full-time
Location: South Bay Area; we operate on a hybrid work schedule (some positions eligible for full remote work).
Benefits: health, vision, dental insurance
Core virtues
Victorious as a team
Give people power-ups
Think bold and lead the charge
Deliver magical experiences
Create compounding forces
Level up stats
Chat with us Live chat: https://www.mage.ai/chat
Apply now Please email careers@mage.ai with your name and desired position in the subject line, and include the following in your email:
LinkedIn profile URL
#J-18808-Ljbffr
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.
mage-ai updated 1 month ago.
Data engineers use Mage to:
Integrate and synchronize data from 3rd party sources.
Build real-time and batch pipelines to transform data using Python, SQL, and R.
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 GitHub stars +6.9K
Slack community members +5.2K
Companies in production +550
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 front-end work experience using the latest and greatest web technologies and frameworks
Front-end work experience with React
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
Culture + Benefits Full-time
Location: South Bay Area; we operate on a hybrid work schedule (some positions eligible for full remote work).
Benefits: health, vision, dental insurance
Core virtues
Victorious as a team
Give people power-ups
Think bold and lead the charge
Deliver magical experiences
Create compounding forces
Level up stats
Chat with us Live chat: https://www.mage.ai/chat
Apply now Please email careers@mage.ai with your name and desired position in the subject line, and include the following in your email:
LinkedIn profile URL
#J-18808-Ljbffr