Top Remote Data Engineer Jobs in New York City, NY

As a Machine Learning Modeler at Block, you will design and implement machine learning models aimed at preventing fraud and risk identification. You'll collaborate with cross-functional teams to ensure compliance with regulations and optimize product offerings while monitoring the effectiveness of risk mitigation strategies.

As a Data Engineer at Kustomer, you will enhance the data architecture, streamline data ingestion, and provide insights for product decisions. Responsibilities include writing tools for data classification, conducting data analysis, debugging, and ensuring data pipeline integrity, while collaborating closely with stakeholders for data visualization and best practices implementation.

The Head of Data & AI at Addition Wealth will provide strategic insights on AI and data strategy, oversee the development of a robust data infrastructure, drive personalized AI solutions, and lead a high-performing team while ensuring compliance with ethical AI practices.

The Manager of Data Engineering will lead a team of six data engineers, oversee the development of Canoe's data platform, manage project timelines, and drive team success while fostering a collaborative culture and delivering innovative data-driven solutions.

As a Computer Vision/Machine Learning Engineer at Dandy, you will develop computer vision models for 3D scans, research and implement advanced methods, work with large datasets, and maintain MLOps pipelines. Your role will contribute significantly to improving dental technology and practices.

As a Data Engineer at Headway, you will design and implement data pipelines to support business decisions, improve data infrastructure, and collaborate with cross-functional teams in providing valuable insights from data. You will engage with product, engineering, and data teams to create efficient data processing systems.

As Director of Data Science and AI at Cisco Meraki, you will lead a growing team to apply quantitative methods and develop machine learning models that enhance customer value and drive product development. Your role will involve strategizing AI use cases, overseeing AI/ML solution deployment, and improving data infrastructure in collaboration with various partners across the organization.