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Hex Technologies

Collaborative data analytics platform with notebooks

Software Engineer - Backend, Product

Backend EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least 5 years of backend or full-stack software engineering experience.
  • Ability to build systems with high complexity and intricate business logic.
  • Deep interest or experience developing agentic workflows involving disparate systems and tools.
  • Experience working in a remote-first team.
  • Hands-on familiarity with enterprise integrations, including single sign-on, SCIM-based provisioning, audit logs, multifactor authentication, and delegated access.
  • Ability to balance business and product goals with engineering excellence, assess tradeoffs between user value and technical complexity, and operate pragmatically.
  • Willingness to make changes anywhere in the stack to drive impact.
  • Familiarity with TypeScript, React, Apollo GraphQL, Redux, Express, Postgres, Redis, Kubernetes, Python, Terraform, Helm, and AWS is relevant to the described stack.

Responsibilities

  • Build and extend the product API and command-line interface to enable workflows for technical users.
  • Design MCP server and client implementations to expand entry points into the platform's capabilities.
  • Design and implement an access control system, including role-based access control, admin request and approval flows, and tiered admin roles for complex organizations.
  • Own full-stack product changes end-to-end, from backend policy enforcement to admin-facing workflows, ensuring enterprise features are intuitive, reliable, and secure.
  • Propose and implement well-architected, scalable systems in collaboration with the broader team.

Desired Qualifications

  • Technical collaboration through RFCs, code reviews, and architecture discussions.

About the Company

Hex Technologies

Collaborative data analytics platform with notebooks

Hex.tech provides a collaborative data analytics workspace that unifies SQL, Python, R, and no-code in a single notebook interface, letting data teams analyze and visualize data without switching tools. It offers built-in AI that can generate queries, code, visualizations, and even start full analyses from a prompt, plus built-in data connections to warehouses, lakehouses, and databases. Real-time collaboration, version control, and reusable components support team workflows, with deep integrations to dbt, Snowpark for Snowflake, Spark, GitHub, GitLab, and workflow tools like Airflow, Dagster, and Prefect. The freemium model lets users start for free and pay for more features or capacity. Hex.tech’s goal is to make data analysis accessible and efficient for a wide range of users—from data scientists to business analysts and non-coders—by providing a user-friendly, end-to-end platform for querying, coding, visualizing, and sharing insights.

Company size
201-500
Company stage
Series D
Total funding
$271.5M
Headquarters
San Francisco, CA
Founded
2019

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