Top Remote Fintech Software Engineer Jobs in New York City, NY

The Senior Data Engineer will design and build scalable ELT/ETL pipelines, improve data quality, and collaborate with teams to ensure accurate data delivery and operational excellence within Cedar's data platform.

The software engineer will build full-stack features for Kora's voice AI agent, integrating data, refining prompts, and expanding multi-modal capabilities while mentoring peers and ensuring technical quality.

As a Staff Backend Engineer, you'll design and operate backend services, lead technical initiatives, ensure reliability, and mentor team members in a remote-first setup.

As a Staff Software Engineer, lead and design complex frontend systems, mentor junior engineers, and drive technical direction across multiple teams.

The Software Engineer will develop and scale backend services for automated approval decisions, fraud detection, and verification workflows, collaborating across teams and integrating third-party data providers.

Lead and manage the data engineering team, architect resilient data infrastructure, ensure data quality, and enable accessible data for business stakeholders.

The role involves architecting and delivering scalable integration solutions with Boomi, engaging clients, managing projects, and mentoring junior staff while driving business development efforts.

Design, build, and maintain resilient full-stack services for distributed financial SaaS systems. Lead end-to-end projects, optimize performance, ensure security and observability, mentor teams, and reduce technical debt.

Lead the architecture team and manage technology decisions while mentoring architects, driving methodology, and collaborating with stakeholders on software architecture improvements.

Lead the Customer & Application team, manage engineers, coordinate development efforts, drive Agile processes, and mentor team members for continuous improvement.

The Senior Data Engineer will develop real-time streaming data pipelines for pricing algorithms and machine learning models, ensuring low-latency data delivery and system reliability. Responsibilities include collaborating with other teams, defining architectural standards, and mentoring junior engineers.