Top Hybrid Data Engineering Jobs in New York City, NY

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.

Join the Analytics Engineering team as an intern, working on data pipelines and analytics projects while gaining hands-on experience.

Join the AI team as an ML Engineer to integrate AI technologies into Notion's product, enhancing model accuracy and deploying innovative solutions.

The Sr. Integration Analyst facilitates healthcare data integration, works on EHR interoperability, analyzes clinical data, and ensures compliance with data standards and regulations.

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.

The candidate designs, develops, and manages systematic market-making algorithms for electronic trading, conducting quantitative research and back-testing strategies to optimize performance and manage trading risks.

Lead and support data migration from legacy systems to SAP S4, ensuring data quality and integrity while collaborating with business and technical teams.

The role involves leading Risk Data Science, developing credit decisioning models, and ensuring compliance with model risk management in a regulated environment, focusing on next-gen machine learning techniques and alternative data integration.

The role involves developing predictive algorithms and tools for Structured Finance, coordinating projects, mentoring junior analysts, and creating user interfaces for data communication.

The Analyst will develop data pipelines, create automated reporting solutions, analyze data for business opportunities, and maintain data quality.