Staff Software Engineer (Data Platform)

Join Built, a leading company in the fintech industry, as a Staff Software Engineer on our Data Platform team. In this role, you will lead the design and delivery of our application-facing data products platform, build full-stack customer experiences, and collaborate with various teams to integrate data products with application surfaces and customer workflows. You will have the opportunity to make a significant impact on our product offerings and help shape the future of our data platform.

• 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, and turn data science prototypes into production-grade product experiences.
• Collaborate across Built where data products integrate with application surfaces, platform capabilities, agents, or customer workflows, and use customer signals to guide engineering decisions.
• Experience with Python or demonstrated ability to work effectively in Python-based systems
• Strong technical communication skills, including design docs, architecture discussions, and tradeoff analysis
• Bias toward customer value over technology for technology’s sake
• Experience designing APIs, service boundaries, reusable application patterns, and production backend systems
• Staff-level software engineering experience with a track record of leading ambiguous, customer-facing product initiatives from idea through production
• Ability to write high-quality, maintainable code with strong instincts for testing, readability, observability, and operational ownership
• Strong product judgment, customer intuition, and ability to identify when a workflow or requirement does not create customer value
• Collaborative leadership style with the ability to challenge product direction constructively and mentor engineers without condescension
• Strong experience with TypeScript, Node.js, React, and modern web application architecture
• Full-stack web application experience, with backend-leaning product engineering depth
• Experience building data-heavy product experiences, analytics products, reporting workflows, benchmarking tools, dashboards, or decision-support products
• Experience with AI or agentic product experiences
• Experience working with data engineers, analytics engineers, data scientists, or teams that productionize data science prototypes
• 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