Top Hybrid Data Engineering Jobs

The Data Analytics Engineer will manage data integration, create dashboards, analyze healthcare data, and support decision-making in a collaborative environment.

As a manager, lead innovative modeling and data structure development, supervise teams, drive strategic initiatives, and maintain compliance with professional standards.

The role involves leading a team to develop AI and ML solutions, manage customer interactions, and analyze large data sets using various technologies.

Design and maintain scalable data pipelines, collaborate with cross-functional teams, manage data architectures, optimize Snowflake performance, and enhance data workflows.

Lead a team of data engineers and analysts, manage cross-functional data projects, and integrate insights to improve product and customer value.

The Senior Lead Securities Quant focuses on developing asset liability management models, enhancing quantitative risk metrics, and implementing scalable analytics solutions in collaboration with various stakeholders.

The Sr Analyst will develop data pipelines, collaborate with data teams, design reporting solutions, analyze data sets, and maintain data quality.

The Analyst will develop data pipelines, create automated reporting solutions, analyze data for business opportunities, and maintain data quality.

Transform Electronic Health Records (EHR) data into structured assets, build scalable data pipelines, and apply Generative AI techniques for analytics within a healthcare-focused team.

This role involves designing data architecture and solutions, managing data pipelines, leading POCs, and collaborating across departments to implement data governance and quality practices.