Top Senior Level Data Engineer Jobs in NYC, NY

As an Executive Director - Data Publishing at JPMorgan Chase, you will define and implement standards for data sharing, advocate for data publishing every level of the organization, and mentor your team. Your role requires collaboration with various departments to understand data management needs while guiding the adoption of new data standards and processes.

As a Principal Data Engineer, you will lead the architecture and development of scalable data pipelines, collaborate with cross-functional teams to integrate data into business strategies, mentor junior engineers, and ensure compliance with data governance and quality standards.

As a Senior Manager, you will lead data engineering projects, design data infrastructure, develop data pipelines, and collaborate with clients to deliver actionable insights. Your role includes mentoring team members and driving strategic initiatives while ensuring compliance with data governance standards.

The Senior Machine Learning Engineer will develop and optimize ML models for search ads, focusing on yield optimization, CTR prediction, and advertiser bidding strategies. Responsibilities include defining ML strategies, designing ML models, implementing ML pipelines, conducting A/B testing, and providing mentorship to team members.

As the Director of Data & Analytics Engineering at Zocdoc, you will lead the analytics and data engineering teams to develop high-quality data infrastructure and tools, guiding data consumers across the organization. Responsibilities include setting technical strategies, managing teams, overseeing data governance, and promoting data quality and security.

As a Senior Data Engineer at Axio, you will collaborate with cross-functional teams to build data products, automate data processing through pipelines, lead the deployment of data science models, and architect data infrastructure to support evolving data products.

The Vice President of Data Intelligence Engineering will drive the execution of quarterly deliverables and long-term strategies while developing a world-class data platform. Responsibilities include ensuring data privacy and security, mentoring engineering teams, and collaborating with cross-functional teams to align strategies with company objectives.