Top Hybrid Data Engineering Jobs

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, design automated reporting solutions, conduct data analysis, and maintain data quality to support business decision-making.

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

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.

The Data & Automation Analyst will develop and automate data workflows, collaborate with GTM teams, and leverage technologies to enhance customer experience.

As a Senior Associate, assist clients with cloud data strategies, implement cloud data architectures, and collaborate with teams to drive business results using data analytics.

The Senior Data Engineer will build and optimize data pipelines, ensure data integrity, and collaborate with stakeholders to meet business requirements while implementing best coding practices.