Top Data Engineer Jobs in New York City, NY
The Senior Data Engineer will enhance and optimize data architecture and pipelines, work with cross-functional teams, develop data applications, and implement machine learning solutions. Responsibilities include data analysis, ETL processes, and ensuring data delivery compliance while following SDLC principles.
The Senior Associate in Data Intelligence & Client Services at WPP is responsible for conducting research and client engagement. This includes facilitating studies, developing insights from data, creating leadership materials, and maintaining strong client relationships through tailored strategies and insightful presentations.
The Senior Analytics Engineer will lead data-driven analyses and develop visualizations, dashboards, and reports for MLB's Strategy & Development team. Responsibilities include transforming data, advising senior management, and enhancing decision-making across the league.
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The Staff Data Engineer will design and maintain scalable data pipelines, develop full-stack applications, integrate data sources, architect data platforms, implement automation tools, and collaborate with teams to enhance AI-driven products.
As a Senior Machine Learning Engineer at Enigma, you will develop scalable ML systems, enhance entity resolution algorithms, and improve machine learning infrastructure, directly impacting business decisions for customers. You will collaborate with data scientists and engineers to innovate and maintain high-performance systems.
The Logistics Data Entry Coordinator is responsible for accurately entering and managing data related to factory production, shipping, and inventory. This role involves processing shipping documents, verifying data accuracy, and coordinating with various teams to ensure timely vendor payments and product tracking.
As a Data & Analytics Engineer at Rinsed, you will design data pipelines, transform point-of-sale data into insights, and create dashboards for customer use. You'll collaborate with teams to track decisions, automate internal processes, and communicate findings to stakeholders.
As a Data Visualization Developer, you will design and develop data visualizations that enhance user engagement and communicate key insights. You will collaborate with engineering, data, and product design teams to create compelling visual narratives, optimize visualization tools, and ensure performance across platforms.
The Senior Analytics Engineer will design, build, and maintain data models to drive business insights, collaborate closely with stakeholders, implement data automation, and enhance analytics capabilities. The role involves managing multiple projects, defining best practices for data sourcing, and communicating updates effectively across teams.
The VP of Data Consulting at The Tie leads a team focused on delivering insights for clients in the blockchain sector. Responsibilities include managing client relationships, overseeing project execution, mentoring team members, and leveraging data analytics to enhance decision-making. This role requires strong leadership, client-facing skills, and technical expertise in data science and engineering.
Top Companies in New York City, NY Hiring Data + Analytics Roles
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