Top Senior Level Data Engineer Jobs

The Staff Machine Learning Engineer will design, build and productionize machine learning models to tackle business challenges, collaborate with product managers and engineers, maintain high code quality, and research emerging technologies. They will also share knowledge through presentations and discussions.

The Director of Business Intelligence, Reporting & Analytics will lead the team in achieving strategic objectives by integrating data insights, automation, and visualization tools to support decision-making in operations. This role involves collaborating with various leaders, managing a team, and enhancing a data-driven culture within the organization.

As a Lead Data Engineer at Klaviyo, you will own the data automation framework, optimize infrastructure for analytics, coach engineers, and drive technical vision. You will address technical challenges and ensure the system supports business needs for over 50,000 customers.

The Enterprise Architect - Machine Learning will lead the design, development, and implementation of AI solutions at Ibotta, collaborating with teams to address business problems, maintain architecture, and mentor others. The role emphasizes innovation in AI strategy, model development, and the selection of appropriate technologies while upholding ethical guidelines.

As a Database Administrator at iManage, you will oversee the lifecycle of Database Server systems, leading their implementation, configuration, maintenance, and performance optimization. Your role includes monitoring system health, providing solutions to issues, partnering with developers for query tuning, and ensuring the availability and security of production applications.

The Data Analytics Engineer will design and implement data systems and services for the Electronic Trading businesses, build reliable data pipelines for analytics and regulatory reporting, and mentor team members while driving technical standards and best practices.

The role requires a Product Owner for Google Marketing Platform/Google Analytics, focusing on managing product backlog, gathering requirements, and ensuring the delivery of high-quality products. Responsibilities include collaborating with stakeholders across digital channels, providing insights, and training, while supporting digital strategies and relevant legal compliance.