Staff Software Engineer, Data Platform
About The Position
Built is seeking a Staff Software Engineer to join their Data Platform team. This role will focus on leading the development of the next generation of customer-facing data product experiences. The engineer will be responsible for building the application layer where Built’s data products are discovered, accessed, and utilized by customers. This involves working across frontend, backend, APIs, services, and data-backed application workflows to transform platform capabilities into intuitive product experiences. The Data Platform team possesses strong data engineering expertise and is looking for a product-minded software engineer with extensive full-stack application development experience to enhance their software engineering capabilities. This includes developing thoughtful frontend experiences, well-designed backend services, durable APIs, practical architecture, robust testing practices, and a keen understanding of customer needs. The role will involve overhauling Built’s application-facing data products platform, encompassing customer-facing experiences such as data product hubs, market insights, benchmarking workflows, portfolio intelligence, and data-specific agents. The ideal candidate is a builder with a strong sense of product design, who cares about user experience, identifies customer value, and can effectively communicate and collaborate on tradeoffs.
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 without condescension.
- Bias toward customer value over technology for technology’s sake.
Nice To Haves
- 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.
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.
Benefits
- Equity in the form of stock options
- Health, dental & vision insurance
- Unlimited PTO policy
- Learning Grant program to support ongoing professional development
- 401k with match and expedited vesting [US ONLY]
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
