Top Hybrid Data Engineering Jobs

As a Senior Data Engineer, you will design, develop, and implement data solutions, utilizing cloud technologies and collaborating with teams to support technical solutions and mentor others.

Manager of Data Platform Engineering responsible for ensuring data reliability, leading a data engineering team, setting platform standards, and collaborating with internal stakeholders to enhance data capabilities.

As a Senior Data Engineer, you will design data pipelines, manage databases, optimize data workflows, ensure data integrity, and collaborate with cross-functional teams on data-driven solutions.

The role involves executing data science projects, developing models, performing data transformation, and collaborating with analytics teams, while learning data engineering practices.

The Senior Data Engineer will manage data flow and ensure accuracy, improve data engineering stacks, build and maintain analytics warehouses, and support stakeholders with data solutions while participating in system reliability on-call rotations.

Assist in developing, testing, and maintaining software applications, collaborate on designs, participate in code reviews, and contribute to documenting processes.

The Data Science Intern will work on developing data pipelines, conducting evaluations, and collaborating with teams to support product development in data analytics.

The role involves managing data engineering practices, overseeing data architecture, establishing design standards, and ensuring operational plans align with business objectives, while also focusing on data quality and regulatory compliance.

The role involves leading teams to develop AI solutions addressing sustainability challenges, managing client accounts, and upholding ethical standards in technology integration.

The Data Engineer will build datasets and pipelines for marketing and sales reporting, collaborating with various teams to support data needs and ensure scalable solutions.