Top Data Engineer Jobs in NYC, NY

The Principal Data Engineer develops and maintains data pipelines, ensuring data quality for AI/ML models, collaborating with teams, and enhancing data processing systems.

The Associate Data Engineer will enhance data capabilities, ensure data integrity, and support investment strategies by collaborating across teams and optimizing data processes.

The Core Data Engineer at Flow Traders will be responsible for delivering high-quality data products and managing the end-to-end lifecycle of these products. Key tasks include project management, creating a common data model, and optimizing data extraction from diverse sources while ensuring quality and timeliness.

As a Senior Data Engineer, you'll design, develop, and implement technical solutions using various programming languages and cloud-based technologies, collaborating with Agile teams to transform Capital One's data systems.

Design and implement data pipelines and systems while collaborating with cross-functional teams to enhance LLM analytics and data integration solutions.

The role involves improving data ETL pipelines and building tools for analyzing new data to enhance research and trading efficiency.

Lead and build Dandy's centralized data engineering team, create scalable data processes, and collaborate across teams to enhance data-driven success.

The Senior Data Engineer will develop and maintain data pipelines, ensuring system reliability, and collaborating with various departments to enhance analytics capabilities.

As a Data Analytics Engineer II, you will build and maintain data pipelines, define reusable datasets, and ensure data privacy and security practices.

The Data Analyst will analyze data, develop reporting capabilities, and support ETL application development while collaborating with stakeholders and ensuring data quality.

As a Data Engineer, you'll design and optimize our data architecture on cloud infrastructures, manage Snowflake environments, enforce data governance, and develop scalable data pipelines.

The Data Engineer will build and optimize scalable data pipelines, collaborate with teams, ensure data quality, and contribute to data strategy.

Lead the development of foundational data models, create and optimize datasets, and enforce best practices for dimensional modeling in a data engineering team.

Develop and maintain ad-tech data systems, focusing on real-time data processing, ETL pipelines, and cloud migration. Collaborate with teams throughout the software development lifecycle to integrate and support solutions.

As a Senior Data Engineer, you will build and optimize data pipelines, create reusable data sets, and implement data validation frameworks, all while ensuring user privacy and security.

As a Data Engineer, you'll develop big data pipelines, build cloud infrastructure, and collaborate with professionals to leverage data for investment insights.

The Senior Data Engineer will enhance data integration pipelines, optimize data systems, and ensure data quality while collaborating with stakeholders and following coding standards.