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# Senior Data Engineer

- **Company:** DEDUCTION LLC
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Audit Trail, Extract Transform Load (ETL), Software Debugging, Python (Programming Language), TypeScript, Large Language Models, Backend, Build Management, Data Management, Data Pipelines
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-data-engineer--df1a71e0-a19c-4b55-a5ad-0ad8e02cc400

## About the Role

Startup, Customer Experience, Certified Public Accountant (CPA), Artificial Intelligence (AI), Data Management, Data Modeling, Structured Data, Application Programming Interface (API), Systems Scalability, Prototyping, 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., * 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.

## Description

* 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