Senior Data Engineer
Deduction · United States - Remote ·
- Work mode
- Remote
- Seniority
- Senior
- Category
- Data engineering
Deduction · United States - Remote ·
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