Top Hybrid Data Engineering Jobs

The Data Engineer will support data initiatives, build data pipelines, perform statistical analyses, and develop BI dashboards to drive business decisions.

The role involves managing a team of data scientists to create generative AI solutions and build machine learning models using large datasets, while collaborating with cross-functional teams.

Lead design and engineering of an enterprise graph database platform for fraud and claims. Build graph data models, large-scale pipelines, optimize hybrid/cloud platforms, improve data governance, and consult cross-functionally to resolve high-risk data engineering challenges.

Lead the design and implementation of analytics processes, create robust data models, and drive insights across Zocdoc's organization.

As a Data Migration Engineer, you'll convert client banking data to the Q2 platform, troubleshoot issues, and manage multiple migration projects.

Design, build, and maintain scalable data pipelines and technical solutions using AWS, PySpark, and Cloudera. Lead modules, translate business needs into technical designs, manage delivery, mentor team members, and support project planning, testing, deployment, and operations.

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

The Solutions Engineer will lead data design and architecture efforts, mentor teams, and drive modernization in cloud-based data solutions, influencing data strategies and roadmaps within a hybrid agile framework.

Lead the architecture and design of data and analytics solutions, focusing on ETL, data warehousing, and cloud technologies while collaborating with global teams to optimize data processes.

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.