Top Fintech Data Engineering Jobs in New York City, NY

As a Data Engineer, you'll design data models, build data pipelines, implement AI capabilities, and ensure data quality for analytics. You'll collaborate with stakeholders to deliver robust datasets and support cross-functional strategies using advanced data tools.

As a Staff Data Engineer, lead the technical roadmap for data infrastructure, manage complex data architectures, and mentor engineers while driving the organization's data platform innovations.

The Senior Analytics Engineer will enhance data models, optimize performance in Snowflake, and bridge data engineering with analytics teams for strategic decision-making.

The Analytics Engineer will develop the Analytics layer in the data warehouse using dbt, define business logic with SQL, and collaborate with teams to meet data needs.

The Senior Data Engineer II will design and maintain scalable data pipelines, collaborate with teams on machine learning workflows, and ensure data accessibility across systems.

Lead the ML Data Enablement team to define strategy and execution for accelerating third-party and internal data onboarding, enforce data quality and SLAs, build metadata and lineage standards, and deliver scalable data infrastructure and workflows to reduce time-to-production for ML models.

Lead the development and implementation of automation techniques using AI and machine learning to improve life underwriting operations and processes.

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

The role involves driving product strategy for data infrastructure, leading cross-functional teams, and implementing MLOps practices for data engineering solutions.

The Seismic Marketing Manager will manage data integration, project management, validation, and act as a technical consultant for the Seismic platform, ensuring high quality data flows and client satisfaction.