# Senior Data Engineer - Company: [Deduction]() - Location: United States - Remote - Remote: Yes - Team: Engineering - Employment type: Full Time - Posted: May 20, 2026 ## Job description ## Company Description [Deduction.com](http://Deduction.com) is a consumer fintech startup reimagining tax from a stressful, once-a-year “homework” exercise into a seamless, year-round financial partnership. We combine an agentic AI core with human CPA expertise to deliver highly accurate outcomes, a better customer experience, and fundamentally more efficient operations. We’re a small, high-ownership team. Engineers here don’t just implement—they define systems, make decisions, and own outcomes end-to-end. This is a remote-first role within the U.S., with optional in-person collaboration in New York and Chicago. ## Role Description We’re looking for a **senior engineer with strong data instincts**. This role sits at the intersection of backend systems, data pipelines, and AI-powered workflows. You’ll have broad ownership to design and build systems that ingest, transform, and operationalize data—powering both user-facing features and internal intelligence systems. This is not a narrow “data engineer” role. You’ll work across the stack, but with a deep bias toward data modeling, pipelines, and system design. ### What You'll Do * Turn ambiguous product and operational workflows into well-structured systems combining data pipelines, backend services, and AI-driven logic * Design and build agentic AI systems that reason, take actions, and orchestrate multi-step workflows (not just simple LLM integrations) * Develop and operate production-grade data pipelines powering both user-facing features and internal systems * Build backend services primarily in TypeScript, with pragmatic use of Python where appropriate * Design APIs and system boundaries that enable modular, composable AI and data workflows * Partner with product and operations to translate real-world processes into AI-augmented, scalable systems * Use AI-assisted development as a default—from prototyping to debugging to system design * Improve reliability, observability, and performance across services * Own architectural decisions within your domain, balancing speed and long-term maintainability ## Core Requirements * Proven experience owning and operating **data-heavy systems in production** * Strong experience with **data pipelines** (ETL/ELT, event-driven, or workflow-based systems) * Proficiency in **TypeScript** (primary language); **other typed language** experience is a plus * Generalist mindset with **strong data modeling and system design instincts** * Ability to go from **zero → one → scale** with minimal guidance * Experience in **fintech, tax, or regulated environments** a strong plus. * Familiarity with **security and compliance considerations** (sensitive data, auditability, access controls) a strong plus. ## AI-Native Development * You actively use **AI tools as a core part of your development workflow** (not optional) * You believe the software engineer’s job is fundamentally changing—and you **lean into that shift** ## Apply [Apply on Deduction]() Canonical job page: