Top Data Engineer Jobs in NYC, NY

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.

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.

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.

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.

As a Data Engineer, you will create scalable data pipelines, analyze data, ensure data quality, and collaborate with teams to enhance data accessibility.

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 scalable data pipelines, integrate APIs, support ML teams, and optimize data systems for performance and reliability.

As a Data Engineer II, you will build and maintain ETL pipelines, analyze requirements, and mentor junior colleagues while supporting customer implementations.

The Staff Data Engineer will design and optimize data pipelines, collaborate with stakeholders, mentor team members, and lead architectural decisions in data infrastructure.

The role involves developing and maintaining data infrastructure, optimizing data pipelines, ensuring data quality, and supporting data applications and warehousing solutions.

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

The Senior Data Engineer will build and maintain data pipelines, optimize data processes, design a data validation framework, and ensure user privacy and security.

As a Senior Data Engineer, you'll design and develop models to integrate diverse data sources for analytics and AI applications, ensuring data consistency and quality across domains.

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

The Data Engineer will create scalable analytics solutions, manage data integrations, report on marketing performance, and develop pipelines using various technologies.

The role involves interacting with Solana nodes, building data pipelines to ClickHouse, designing dashboards, maintaining data accuracy, and responding to on-chain incidents.

As a Data Engineer, you will build data solutions for trading, ensuring data quality and collaborating with researchers to support decision-making.

The Data Architect designs data flows, defines standards, ensures data quality, and collaborates on data strategies while integrating advanced technologies.

The Data Engineer will build ETL pipelines and data infrastructure, ensure data quality, and implement modern data warehousing for analytics improvements, while collaborating with stakeholders across teams.

The Senior Data Engineer will build and maintain data pipelines, work with cross-functional teams, and optimize performance using various data processing tools.

The Data Analytics Engineer II will build and maintain data pipelines, validate data consistency, and ensure user privacy in a healthcare setting.

Design and build secure data pipelines, lead data architecture, collaborate across teams, ensure data quality, and mentor other engineers.

The role involves building and improving data engineering solutions, designing ETL/ELT pipelines, and working with data modeling, warehousing, and cloud platforms to support influencer marketing at Influur.

The Data Engineer will maintain and optimize data pipelines, manage infrastructure, support ML workflows, and collaborate with teams on data products.