Top Data Engineer Jobs in NYC, NY

The Data Engineer will design and build scalable data systems, support AI/ML integration, and collaborate across teams for the development of Canoe's Alts Data Platform.

As a Quantitative Developer, you'll innovate and enhance quantitative methods, develop custom tools, maintain data pipelines, and collaborate with researchers for advancing investment strategies.

Design and maintain scalable data pipelines, collaborate with cross-functional teams, manage data architectures, optimize Snowflake performance, and enhance data workflows.

You will design and optimize cloud-based data pipelines in AWS, develop automation frameworks, and enhance data architecture for financial reporting and actuarial modeling.

Transform Electronic Health Records (EHR) data into structured assets, build scalable data pipelines, and apply Generative AI techniques for analytics within a healthcare-focused team.

As a Data Engineer, you will design and maintain data pipelines, build data storage systems, and support analytics workflows, ensuring data reliability and performance. You will collaborate with engineers to define data structures and improve data management practices.

The Data Engineer will design and build solutions for investment insights using big data technologies, developing data pipelines, and collaborating with cross-functional teams.

The Senior Data Engineer will build and optimize data pipelines, ensure data integrity, and collaborate with stakeholders to meet business requirements while implementing best coding practices.

As a Data Engineer, you'll build data infrastructure for analytics, drive business growth strategies, and enhance personalized user experiences at Eight Sleep.

Design, develop, and deliver data solutions and database systems, maintain data pipelines, automate processes, and support internal teams with data infrastructures.

The Data Engineer will manage and develop data warehousing solutions, implement ETL processes, and utilize SQL for data analysis and reporting. Experience in analytics tools and communication is essential.

The Data Analytics Engineer will manage data integration, create dashboards, analyze healthcare data, and support decision-making in a collaborative environment.

The Data Engineer will clean, manage, and analyze datasets, automate ETL processes, and collaborate with traders and software engineers to derive insights.

The Data Engineer will manage data pipelines for financial institutions, translating raw transactions into insights while collaborating with various teams to enhance data models and tools.

Lead the Health Intelligence team in building data pipelines and infrastructure, while mentoring junior engineers and optimizing data solutions.

As a Senior Data Engineer, you will design and maintain data pipelines, define governance standards, and collaborate across teams to enhance Headway’s data architecture.

The Data Engineer will design and maintain ETL pipelines and data storage solutions, collaborating with cross-functional teams to ensure efficient data processing and delivery.

The Data Engineer will design and maintain scalable data pipelines, integrate APIs, support ML teams, and optimize data systems for performance and reliability.

Design, build, and maintain data infrastructure, client integrations, and data models to support analytics and AI at Trovo Health.

The Data Engineer will manage data extraction pipelines, modernize data systems, implement monitoring tools, optimize workflows, and support compliance requirements using various tools and platforms.

The Data Engineer will develop Python data applications, collaborate with teams to optimize data solutions, and maintain production operations support.

The Principal Software Engineer oversees the architecture and deployment of data solutions, ensuring quality, efficiency, and compliance. They manage data integrity, guide technology collaboration, and lead the design and implementation of data systems and standards.

As a Senior Data Engineer, you will design, develop, and implement data solutions, utilizing cloud technologies and collaborating with teams to support technical solutions and mentor others.

The candidate will improve the data ETL pipeline, build analytical tools, manage operations, and expand into new markets and asset classes.

As a Data Engineer, you will build and optimize data pipelines, manage ETL workflows, and ensure efficient data access and quality within the infrastructure.