Full-Stack Engineer — Build Data Science Tools, Flexible

Deepnote; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Very competitive compensation

Equity options

Team events & retreats

Learning budget

Travel budget

25 days PTO

Parental leave

Office lunches

Flexible hours

Kick-start bonus

Health budget

Office snacks

Job summary

Deepnote is seeking a Software Engineer in the United States to join our data notebook platform. You will build new features across the backend and UI, own projects end-to-end, and learn quickly in a fast-moving data science environment, including real-time collaboration and performance optimizations.

You will be part of a curious team that values initiative and problem solving, shaping the future of data science tooling while contributing to a supportive, flexible culture with strong

Qualifications

• Build new features across backend and UI.
• Enhance real-time collaboration across app parts.
• Boost rendering performance using virtualization and memoized components.
• Dive into data science tooling to drive product decisions.
• Support our community of data scientists and developers.

Responsibilities

• Build new features across backend and UI.
• Enhance real-time collaboration across application parts.
• Boost rendering performance using virtualization and memoized components.
• Dive into data science tools and derive product insights.
• Support our community of data scientists and developers.

Skills

End-to-end ownership

Fast learner

Problem solving

Communication

Tools

Typescript

React

GraphQL

Node.js

PostgreSQL

Redis

Kubernetes

AWS

Job description

Deepnote is seeking a Software Engineer in the United States to join our data notebook platform. You will build new features across the backend and UI, own projects end-to-end, and learn quickly in a fast-moving data science environment, including real-time collaboration and performance optimizations.

You will be part of a curious team that values initiative and problem solving, shaping the future of data science tooling while contributing to a supportive, flexible culture with strong