About the Role
The role involves building and maintaining complex data pipelines that support portfolio analysis and reporting, working across the full stack to ensure reliability, scalability, and accuracy in a high-performance environment.
Responsibilities
- Design and implement backend services for processing financial data
- Develop frontend interfaces for data visualization and user interaction
- Optimize data workflows for speed and accuracy
- Collaborate with product and design teams to define feature requirements
- Ensure data consistency across distributed systems
- Write clean, maintainable, and well-tested code
- Troubleshoot and resolve production issues
- Participate in code reviews and technical design discussions
- Improve system observability and monitoring tools
- Support data onboarding and transformation pipelines
- Work with large-scale datasets in a secure environment
- Enhance API performance and reliability
- Contribute to architectural decisions for data-intensive applications
- Maintain alignment with security and compliance standards
- Drive improvements in development tooling and infrastructure
- Mentor junior engineers and promote engineering best practices
- Evaluate new technologies for data processing efficiency
- Ensure backward compatibility during system upgrades
- Support deployment automation and CI/CD pipelines
- Collaborate on cross-team initiatives involving data integrity
- Respond to stakeholder feedback on data functionality
- Improve error handling and recovery mechanisms in workflows
- Document technical designs and system behavior
- Conduct performance testing and capacity planning
- Align development efforts with business objectives
Nice to Have
- Master’s degree in Computer Science or related field
- Experience in financial technology or data-heavy applications
- Familiarity with real-time data processing systems
- Knowledge of GraphQL and Apollo
- Experience with data visualization libraries
- Background in data governance or compliance frameworks
- Exposure to Kubernetes or container orchestration
- Understanding of event-driven architectures
- Experience with streaming data platforms like Kafka
- Contributions to open-source projects
Compensation
Competitive salary and equity package
Work Arrangement
Hybrid work model with flexible remote options
Team
Collaborative engineering team focused on financial data systems
Our Impact
- Engineers build systems that process billions in financial data, enabling institutions to make informed decisions.
- The team’s work directly supports transparency and accuracy in wealth management platforms.
Engineering Culture
- We value ownership, collaboration, and technical excellence.
- Engineers are encouraged to lead initiatives and propose architectural improvements.
Growth Opportunities
- Opportunities to advance into technical leadership or specialized domains.
- Regular feedback cycles and personalized development plans.
Available for qualified candidates
