Top Hybrid Data Engineering Jobs

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

The Sr. Analyst will develop data pipelines, collaborate across teams, design reporting solutions, conduct data analysis, and maintain data quality to drive business outcomes.

Lead the Emerging Fraud team as a Senior Data Scientist, developing machine learning models to identify and neutralize fraud threats, leveraging a wide range of technologies.

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.

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

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

The Data Engineer will architect and deploy Big Data environments, manage data pipelines, and ensure data integrity across the organization.

Assist in developing and maintaining data pipelines and models, conduct data wrangling, and support dashboard creation. Ideal for university students eager to learn.

The Data Engineer will design and build scalable data systems, support AI/ML integration, and collaborate across teams for the development of Canoe's Alts Data Platform.

Join the AI team as an ML Engineer to integrate AI technologies into Notion's product, enhancing model accuracy and deploying innovative solutions.

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