Top Fintech Data Engineering Jobs in New York City, NY

The Sr Data Engineer, AVP will analyze complex problems, develop applications, manage projects, ensure compliance, and coach junior analysts while working with various data technologies.

The Business Systems Specialist will support data conversion, collaborate with IT and Operations teams, and ensure successful data integration across various business lines.

The Analytics Engineer will develop and maintain data products to drive cross-functional decision-making and improve Novo's data culture.

Conduct quantitative analytics and modeling projects, develop AI-driven tools, and integrate AI into existing workflows within banking and market sectors.

The Senior Data Engineer will design and manage data pipelines for massive datasets, ensuring quality, cost management, and effective data operations. Responsibilities include overseeing data flows, monitoring data quality, and managing vendor partnerships.

The role involves managing data pipelines for AI and quantitative research, focusing on L3 market data architecture and integrity, API development, and collaboration with researchers.

This role involves designing and maintaining data pipelines, creating dashboards, and collaborating with stakeholders to drive analytics solutions for external data products.

Lead design and implementation of scalable batch and streaming data infrastructure. Build and maintain ETL/ELT pipelines, ensure data quality and observability, troubleshoot production issues, mentor engineers, and partner with cross-functional teams to deliver reliable, self-serve data products.

The Senior Principal Data Architect will lead architecture initiatives, align data solutions with standards, analyze data, and communicate designs to stakeholders.

Own end-to-end data and analytics for SaaS clients: collect requirements, stand up data infrastructure, migrate reporting to Valon Data Schema, build dbt pipelines, rewrite SQL queries and dashboards, conduct analyses, and support client operations under tight deadlines.