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Built Technologies

Staff Software Engineer, Data Platform

Built Technologies
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about 4 hours ago
Remote, United StatesStaff+
H1B Sponsor

Base Salary

$170k - $240k/yr

Responsibilities

  • Lead the design and delivery of Built’s application-facing data products platform.
  • Build full-stack customer experiences using TypeScript, React, Node.js, and Python.
  • Partner with Product to shape ambiguous ideas into useful customer workflows.
  • Turn data science prototypes and analytics concepts into production-grade product experiences.
  • Implement strong software engineering practices through technical design and code review.
  • Help data engineers take on more software engineering work across various domains.
  • Collaborate across Built to integrate data products with application surfaces and workflows.
  • Use customer signals and feedback to guide engineering decisions.

Requirements

  • Staff-level software engineering experience with a track record of leading customer-facing product initiatives.
  • Strong product judgment and ability to identify low-value requirements.
  • Full-stack web application experience with backend-leaning product engineering depth.
  • Strong experience with TypeScript, Node.js, React, and modern web application architecture.
  • Experience with Python or ability to work effectively in Python-based systems.
  • Experience designing APIs and production backend systems.
  • Ability to write high-quality, maintainable code with strong testing instincts.
  • Strong technical communication skills for design docs and architecture discussions.
  • Collaborative leadership style with the ability to mentor engineers.

Benefits

  • The rare opportunity to radically disrupt a $1.5T industry.
  • Competitive benefits including uncapped vacation, health, dental, and vision insurance.
  • Robust compensation package, including equity in the form of stock options.
  • Learning Grant program to support ongoing professional development.
  • 401k with match and expedited vesting.

Tech Stack

Categories

AI & MLData EngineeringData ScienceFull StackTesting