Top Marketing Tech Data Engineering Jobs in New York City, NY

The Analytics Manager will build and maintain data pipelines, develop statistical models, create self-serve analytics tools, and partner with teams to measure impact and identify opportunities within blockchain and Web3.

As a Senior Data Engineer I, you will build data capabilities for product expansion, integrate external APIs, design robust data pipelines, and collaborate with various teams to enhance systems and practices.

The Senior Data Engineer will design and implement data pipelines, data models, and dashboards using cloud technologies and analytics tools to drive business insights and performance.

The Associate Director, Data Engineering will develop analytics products, analyze datasets for market access strategies, and create visualizations and dashboards.

The Associate Director, Data Engineering will develop analytics products, analyze datasets for market access strategies, and create visualizations and dashboards.

The role involves designing and maintaining data models and pipelines, collaborating with teams to drive insights, and building dashboards for analytics and reporting.

The Analytics Implementation Manager will lead the implementation and validation of analytics infrastructure, ensuring measurement accuracy and reliability across client accounts. Responsibilities include deploying tagging solutions, managing data layers, coding in JavaScript, and collaborating with cross-functional teams to troubleshoot and enhance performance tracking.

Responsible for database administration, data engineering, and operations within the Snowflake ecosystem, including ETL design, data modeling, and building pipelines to ensure data reliability and integrity.

As a Data Engineering Analyst Lead/Scientist, you will engineer consumer attributes, apply statistical techniques, build visualizations, and collaborate across teams to maximize impact in financial services.

In this role, the Senior Database Engineer will optimize and operationalize large-scale data solutions, design data architectures, develop data pipelines, and ensure data reliability while collaborating with cross-functional teams for effective reporting and analytics.