Top Senior Level Data Engineer Jobs

The Senior IMS Mainframe DBA will create, maintain, design, and troubleshoot client databases, focusing on IMS environments. Responsibilities include database software upgrades, daily maintenance, backups, monitoring, performance optimization, and on-call support. They will collaborate with vendors and develop best practices for database management, ensuring security and efficiency.

As a Principal Data Scientist at Appspace, you will analyze data generated by our platform to create valuable reporting and analytics for customers. This includes developing data models, dashboards, and providing user training while collaborating with cross-functional teams to meet customer needs.

As a Senior Machine Learning Engineer, you will design and develop machine learning applications, conduct experiments, work collaboratively with engineers, engage with clients, and mentor project teams, focusing on practical AI solutions for clients.

The Data Engineer III is responsible for constructing high-quality datasets, writing SQL queries, monitoring database stability, and assisting with data governance. They lead and mentor a team, architect data management systems, and create data pipelines on AWS. They also work independently to solve complex problems and collaborate with stakeholders to develop reliable solutions.

Manager, Senior Data Architect role at SC Johnson focusing on translating business requirements into architecture blueprints for analytics solutions. Responsibilities include leading discussions with business functions, defining best practices for data modeling, and developing data integration frameworks.

The Master Data Manager oversees MDM solutions, manages a team of MDM professionals, and ensures data integrity for supplier information. They are responsible for governance, process improvements, collaboration across functions, and data quality monitoring while acting as a change agent in the organization.

As a Data Demand Lead at Fragomen, you will manage the data demand process, oversee data requests, collaborate with IT and governance teams, monitor metrics, and ensure compliance with regulatory requirements while implementing data handling best practices.