Senior Backend Developer, Data Team

3 days ago

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CapIntel

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Finance • Fintech • B2B

CapIntel is a company that provides investment comparison and proposal tools designed to help clients understand and engage with their investment products. Their platform is used by some of the biggest banks in the world to support financial advisors in presenting easy-to-understand proposals that highlight experience, value, and financial education. CapIntel's tools allow for interactive and visual comparisons, helping clients to grasp the impact of their investment choices on future financial goals. With a focus on elevating the client experience, CapIntel aims to make financial advice accessible and comprehensible, building stronger client-advisor relationships and business success.

51 - 200 employees

Founded 2019

💸 Finance

💳 Fintech

🤝 B2B

💰 $11M Series A on 2022-06

📋 Description

• Design, build, and maintain robust and scalable data pipelines using JavaScript/TypeScript, Node.js, Temporal.io, and NoSQL databases such as MongoDB. • Architect data pipelines and storage solutions for structured and unstructured financial data, ensuring performance, reliability, and scalability. • Lead the development of secure, enterprise-grade API integrations, partnering with third-party data providers and internal teams. • 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. • Mentor intermediate developers and contribute to the evolution of our backend development standards and processes. • Partner closely with product, data, and design teams to translate business requirements into scalable backend solutions.

🎯 Requirements

• Extensive experience developing data pipelines in any robust backend language • Extensive experience creating and maintaining ETL pipelines processing many gigabytes of data • Expertise with MongoDB (or similar NoSQL databases), 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. • Solid collaboration and communication skills to bridge technical and non-technical teams.

🏖️ Benefits

• Competitive salary • Flexible working hours • Professional development budget • Home office setup allowance • Global team events