Top Data Engineer Jobs in New York City, NY

The role involves developing and optimizing NLP algorithms, training large language models, collaborating with cross-functional teams, and contributing to machine learning research initiatives. The engineer will drive improvements in the data processing pipeline and mentor junior team members.

The Summer IT & Data Science Intern will support the Tapestry corporate team by leveraging skills in IT, Data Science, and Analytics. They will work within various departments, developing critical skillsets and gaining practical experience during a 10-week internship.

As a Lead Machine Learning Engineer, you will design and implement machine learning solutions, collaborate with product and engineering teams, and oversee project execution. Your role includes writing code, setting project milestones, conducting code reviews, coaching team members, and ensuring best practices for service maintenance and deployment.

The Data Scientist III (ML Engineering) will develop and optimize machine learning solutions to improve Cedar’s healthcare platform. Responsibilities include deep data analysis, building pipelines, collaborating with engineering teams, and evaluating model performance to enhance patient experiences.

As a Senior Associate in Clinical Database Management, you will oversee processing and reviewing clinical data, ensuring accuracy and compliance with study-specific review plans. Your role involves collaboration with cross-functional teams to create data capture solutions and support knowledge development of data capture tools. You will leverage your skills to meet team targets and contribute to the overall goal of delivering quality clinical data.

As a Senior Software Engineer at Trumid, you will develop scalable trading systems, integrate machine learning models into production, and lead software development processes. You will also mentor junior engineers and work closely with cross-functional teams in a fast-paced environment.

The Senior EDI Analyst is responsible for monitoring and improving EDI systems, conducting testing, troubleshooting errors, and collaborating on cross-functional projects. This role supports procure-to-pay and order-to-cash processes, ensuring accurate data exchange with trading partners.