Senior Backend Developer, Data Team

CapIntel

4d•$110,000 - $150,000

About The Position

CapIntel is seeking a Senior Backend Developer to join their Data Team. This role involves designing and delivering the infrastructure for the platform, focusing on data pipelines, scalable backend systems, and API integrations. The developer will collaborate with cross-functional teams to create solutions for financial systems. CapIntel is a rapidly growing software platform for wealth management enterprises, helping financial advisors explain investment strategies to clients. The company has experienced significant adoption and industry recognition since its launch in 2019.

Requirements

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.
A track record of writing well-tested, reliable code and driving best practices across a team.
Solid collaboration and communication skills to bridge technical and non-technical stakeholders.

Nice To Haves

Experience in the financial services or wealth management industry, with exposure to financial data structures or reporting.
Experience with Vector Search or RAG based systems.
Familiarity with Temporal.io or similar workflow orchestration platforms.
Experience with Python for backend scripting or data processing.
Knowledge of search indexing technologies such as Elasticsearch.
Exposure to data warehousing, analytics pipelines, or financial data normalization.
Familiarity with AWS.

Responsibilities

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.