Senior Data Engineer

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.

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.

• 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
  

• 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.

• 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