Staff Software Engineer, Data Platform
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AI Summary
Built's Mission: Connect and simplify doing business in real estate.
Built is the AI-powered platform transforming the way real estate is financed, developed, and managed. Purpose-built for real estate and construction, Built began by fixing construction draw management for lenders and has grown into a comprehensive operating system addressing some of the industry’s most complex challenges. Today, Built is a partner to more than 350 lenders, over 80,000 borrowers and owners, and thousands of contractors, powering 86,000 active projects valued at more than $300 billion. Learn more at getbuilt.com.
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Built is looking for a Staff Software Engineer to join our Data Platform team and lead the next generation of customer-facing data product experiences.
In this role, you will build the application layer where Built’s data products are discovered, accessed, and used by customers. You will work across frontend, backend, APIs, services, and data-backed application workflows to turn platform capabilities into intuitive product experiences.
The Data Platform team already has deep data engineering expertise. We are looking for a product-minded software engineer with strong full-stack application development experience to add depth to the team's software engineering capabilities. This includes thoughtful frontend experiences, well-designed backend services, durable APIs, practical architecture, strong testing practices, and a sharp instinct for what customers actually need.
You will help overhaul Built’s application-facing data products platform. This includes customer-facing experiences such as data product hubs, market insights, benchmarking workflows, portfolio intelligence, and data-specific agents.
The right person is a builder with taste. You care when a workflow technically works but still feels confusing. You notice when a requirement does not map to customer value. You can push back, offer better alternatives, and still partner well when tradeoffs are needed.
WHAT YOU’LL DO
- 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.
SKILLS AND EXPERIENCE REQUIRED
- 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 without condescension.
- Bias toward customer value over technology for technology’s sake.
PREFERRED
- Experience building data-heavy product experiences, analytics products, reporting workflows, benchmarking tools, dashboards, or decision-support products.
- Experience working with data engineers, analytics engineers, data scientists, or teams that productionize data science prototypes.
- Experience with AI or agentic product experiences.
- Familiarity with Snowflake, dbt, Kafka, Flink, Materialize, or similar data platform technologies.
- Experience in fintech, lending, banking, construction, real estate, compliance-heavy SaaS, or other domains where trust and correctness matter.
- Experience with product instrumentation, activation metrics, customer adoption, experimentation, or usage-based product iteration.
- Experience mentoring engineers from adjacent disciplines into stronger software engineering practices.
Built’s salary range for this position is $170,000 - $240,000 USD per year. The pay range is designed to accommodate upward mobility in the role, therefore it encompasses the full span of proficiency levels for this role and we believe that the midpoint of the range is competitive in the market. Salary is just one component of Built's total compensation package for employees. Your total rewards package at Built will include equity, top-notch medical, dental and vision coverage, an unlimited PTO policy, and other benefits.
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Travel Requirement: If the role isn't required to be hybrid or on-site, non-local candidates (not based in Nashville metro) must be able to travel at minimum twice per year to Nashville, TN or another designated location for company-wide events (e.g., "Connect Week"). Additional travel may be required based on business needs and role responsibilities.
Perks:
- The rare opportunity to radically disrupt a $1.5T industry
- Competitive benefits including: uncapped vacation [US ONLY], health, dental & 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 [US ONLY]
Built brings together passionate people who are driven in a variety of disciplines, each bringing their unique perspective to everything they do. We’re committed to building a safe, inclusive workplace where every employee can succeed, and we recruit, hire, and promote fairly - without bias based on race, color, religion, sex, sexual orientation, gender identity, marital status, veteran status, or any other characteristic protected by law.
Greenhouse Data Disclosure: When you apply to a job on this site, the personal data contained in your application will be collected by Built Technologies (“Controller”). Your personal data will be processed for the purposes of managing Controller’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller’s behalf. Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for current or future employment. You have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have to right to data portability.
If you would like to contact Controller to ask questions surrounding processing of your personal data or to make a request, you can send an email to privacy@getbuilt.com. California residents: Please note that Controller does not sell your personal data or share it with third parties outside of Greenhouse Software, Inc.
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