Top Hybrid Data Engineer Jobs

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.

Develop and implement advanced algorithms, apply statistical techniques, collaborate with clients, assess technologies, and mentor team members.

Lead the Data Science Platform, building predictive models for drug acquisition, optimizing portfolios, and collaborating with engineering teams for scalable systems.

The AML Analytics Senior Advisor is responsible for developing and optimizing AML models, ensuring compliance, and managing data architecture to combat financial crime.

Manage data and analytics projects, align client data strategies, facilitate cloud data migration, and coach team members while ensuring business objectives are met.

The role involves developing data solutions to improve engineering workflows, using frameworks for performance metrics, and ensuring high-quality data for business decisions.

As a Solutions Architect, you'll drive the strategy and implementation of cloud-based Data Fabric and Data Mesh, enabling decentralized data ownership and collaboration across teams.

The role involves developing quantitative models, leveraging cloud-based solutions, and applying machine learning to improve financial performance and decision-making.

The Director of Data Engineering and Analytics will lead Chewy's data analytics initiatives, manage teams, and drive strategic business decisions through data-driven insights and reporting.