Top Senior Level Data Engineer Jobs in NYC, NY

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.

The role involves developing and executing partnership strategies with payroll providers and gig platforms to enhance data access for banks and fintechs. Responsibilities include negotiating deals, collaborating with product teams, setting success metrics, and fostering stakeholder relationships to drive business growth.

The Manager of Data Science Engineering role involves leading data-driven initiatives within Disney Advertising. Responsibilities include managing a team of Data Scientists, overseeing development projects, consulting on architecture best practices, and implementing technical documentation standards. The role requires a strong technical background in data engineering and experience in digital advertising.

The Senior Data Engineer will lead data engineering initiatives at Perchwell, focusing on building ETL tooling and data pipelines, implementing data governance measures, and collaborating with cross-functional teams to enhance the data infrastructure.

As a Senior Machine Learning Engineer at Personio, you will lead the design and deployment of scalable machine learning algorithms, collaborate with cross-functional teams, mentor junior engineers, and strive for continuous innovation while maintaining high coding standards and technical documentation.

Lead design and development of scalable data architectures for batch and streaming processing. Optimize ETL/ELT processes and manage database performance. Collaborate with teams to ensure data solutions meet business needs and support decision-making. Drive continuous improvement in data engineering workflows and implement MLOps for machine learning models.

This role involves developing machine learning tools for patient data, performing analysis on longitudinal patient data, and integrating clinical insights using R and Python. The candidate will collaborate with various stakeholders and contribute to innovative machine learning approaches for clinical insights.