Senior Backend Developer, Data Team

About the Role

CapIntel is looking for a Senior Backend Developer to join our growing Data Team, where you’ll design and deliver the infrastructure that keeps our platform fast, reliable, and ready for what’s next. From robust data pipelines to scalable backend systems and API integrations, you’ll partner with cross-functional teams and lead the creation of solutions that power smarter financial systems.

What You'll Do

• Design, build, and maintain robust and scalable data pipelines using TypeScript, Node.js, Temporal.io, and NoSQL databases such as MongoDB.
• Architect storage solutions for structured and unstructured financial data, ensuring performance, reliability, and scalability.
• Identify and drive performance optimizations across existing pipelines — profiling bottlenecks, improving throughput, and reducing latency at scale.
• Deploy, monitor, and optimize services on AWS, applying best practices for observability, cost efficiency, and fault tolerance.
• Drive technical excellence by writing clean, maintainable code supported by thorough unit and integration testing.
• Participate in and elevate code reviews, architecture discussions, and technical planning, setting a high bar for engineering quality.
• Contribute to the evolution of our backend development standards and processes.
• Partner closely with product, platform, and design teams to translate business requirements into scalable backend solutions.
• Support the development and maintenance of internal APIs where needed, ensuring reliability and consistency across integrations.

What We're Looking For

• Strong computer science fundamentals — a deep understanding of data structures, algorithms, complexity, and system design that translates directly into well-architected, high-performance pipelines.
• Extensive experience developing and maintaining data pipelines in TypeScript or a comparable strongly-typed backend language, with the ability to hit the ground running in our TypeScript-first codebase.
• Proven ability to identify and resolve performance bottlenecks in data-intensive systems, with a systematic approach to profiling and optimization.
• Expertise with MongoDB or similar NoSQL databases, including data modeling and query optimization.
• Strong background with cloud storage and monitoring services.
• Comfort with CI/CD workflows and infrastructure as code.