Top Remote Data Engineer Jobs in Cincinnati, OH

Lead design and implementation of scalable data infrastructure, build reliable data pipelines, collaborate cross-functionally, and influence data architecture to support analytics and operations.

The Machine Learning Architect will design and implement ML solutions on cloud platforms, working directly with customers to align strategies with business goals. Responsibilities include end-to-end project management, model deployment, and maintaining strong customer relationships.

The Senior Data Engineer is responsible for building a data lake, developing data pipelines, ensuring data quality, collaborating with teams, and managing ETL processes.

The Manager of Analytics Engineering will lead a team to build and optimize data infrastructure, overseeing data pipelines and collaborating with cross-functional teams to support data monetization efforts.

Manage end-to-end data migration projects, ensuring accurate data mapping, quality assurance, collaboration across teams, and effective client communication.

The Data Services Manager leads the data strategy transformation, overseeing a team for Snowflake data platform management and driving AI integration with business objectives in logistics.

Lead the design and implementation of scalable data architectures while managing a team of data engineers and driving cross-functional analytics to support supply and R&D functions.

Lead the fraud strategy to protect customers and card portfolios, develop real-time models with Data Science, and manage fraud performance metrics. Collaborate across teams to implement effective fraud controls and optimize processes.

As a Senior Data Engineer, you will architect, design, and implement data lakes and warehouses while managing AWS environments, ETL pipelines, and analytics projects. Collaborate with teams to enhance strategic data processes and support healthcare solutions.

The VP of Data Engineering leads the enterprise data ecosystem, ensuring modern data platforms and pipelines support analytics and AI/ML while driving strategic execution and enabling innovation.