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Fullstack Engineer

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About Hex

Hex is a modern Data Workspace for teams. With Hex, Analysts and Data Scientists can explore, analyze, and visualize in collaborative notebooks, and then share their work as interactive data apps that anyone can use. This gives Data teams new superpowers, breaks down siloes, and empowers organizations to be truly data-driven.

About the Fullstack Software Engineer role

We're looking for an experienced fullstack software engineer to join as a member of our core team. You will have broad impact over the technology, the product, and our company's culture.

We have plenty of challenges at all levels of the stack, so we're excited to talk to you whether your experience is in the nuts and bolts of cloud infrastructure and DevOps all the way up to building beautiful, single-page web apps. Among the interesting challenges you would get to work on:

  • Scalable and secure compute infrastructure for running analytical code, including distributed caching of program state
  • Client and server-side architecture for collaboration and multiplayer editing
  • Creating UX paradigms for expressing complex concepts such as caching, execution state, and application performance

About You

We're looking for engineers who have:

  • A passion for shipping high-quality product that delights users
  • Interest in the data products space, and a love of building tools that empower analysts to do more
  • Interest and curiosity about the bigger picture of building a company, including go-to-market, customer development, people, and marketing
  • At least 3-5 years experience as a software engineer

It's also great if you have:

  • Worked with elements in our tech stack:

    • Product: React, Typescript, Node, GraphQL, Postgres, Python, R, or Julia
    • Infrastructure: AWS, Terraform, Kubernetes
  • Built products in the data analytics space, either frontend or backend
  • Experience in data analysis / data science, using, building, or integrating with modern technologies (e.g. Python notebooks, modern BI tools, data pipelines)


Caitlin Colgrove, CTO (