Staff Software Engineer, Data Platform
New
B
Built TechnologiesReal Estate FinTech
Remote - USAFull-TimeStaff
Salary170,000 - 240,000 USD per year
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Job Details
- Required Skills
- Node.jsPythonFull Stack DevelopmentProduct ManagementTypeScriptData engineeringReact
Requirements
- Staff-level software engineering experience with a track record of leading ambiguous, customer-facing product initiatives from idea through production.
- Strong product judgment, customer intuition, and ability to identify when a workflow or requirement does not create customer value.
- 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 demonstrated ability to work effectively in Python-based systems.
- Experience designing APIs, service boundaries, reusable application patterns, and production backend systems.
- Ability to write high-quality, maintainable code with strong instincts for testing, readability, observability, and operational ownership.
- Strong technical communication skills, including design docs, architecture discussions, and tradeoff analysis.
- Collaborative leadership style with the ability to challenge product direction constructively and mentor engineers.
- Bias toward customer value over technology for technology’s sake.
Responsibilities
- Lead the design and delivery of Built’s application-facing data products platform, including product surfaces, backend services, APIs, frontend flows, and reusable patterns.
- Build full-stack customer experiences using TypeScript, React, Node.js, Python, and related technologies.
- Partner with Product to shape ambiguous ideas into useful customer workflows, challenge low-value requirements, and offer practical alternatives.
- Turn data science prototypes, analytics concepts, and platform capabilities into production-grade product experiences.
- Bring strong software engineering practices into a data-heavy team through technical design, code review, mentoring, testing, and delivery patterns.
- Help data engineers take on more software engineering work across frontend, backend, APIs, product decomposition, and production readiness.
- Collaborate across Built where data products integrate with application surfaces, platform capabilities, agents, or customer workflows.
- Use customer signals, usage data, product feedback, support issues, and discovery learnings to guide engineering decisions.
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