Top Financial Services Data Engineering Jobs in New York City, NY

The role involves improving reconciliation processes, training, project management, and providing expert guidance on data flow and reconciliation tools. Responsibilities include conducting training sessions, ensuring compliance, and leading automation initiatives.

Lead the data engineering team, develop and maintain data models and pipelines for risk domains, and manage data quality and governance.

The Data Engineer will build real-time data pipelines for pricing algorithms, collaborate with teams, and contribute to batch data workflows.

The Staff Analytics Engineer will own the Financial Subledger Data Platform, build dbt models, implement data quality controls, and mentor a junior engineer, ensuring high operational reliability and cross-functional collaboration.

The Quantitative Developer will modernize modeling libraries, build platforms for Options Market Making, and develop analytical libraries, while collaborating with Quantitative Researchers and engineering teams.

The Principal Enterprise Data & Analytics Architect will design and modernize data architecture, guiding integration of cloud and on-premise solutions to enhance enterprise data management and analytics.

The role involves developing, productionizing, and optimizing trading systems using C++ and Python, focusing on high-frequency trading and market microstructure.

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 developing and enhancing an analytics platform for fixed income, focusing on software architecture, C++ programming, and ensuring system robustness.

Design, develop, and maintain data pipelines and ETL workflows in Databricks, collaborating with teams to support large data needs in financial services.