Top Senior Level Data Engineer Jobs in Minneapolis, MN

The Senior Data Science Consultant at DesignMind will lead client engagements, build machine learning systems, and mentor teams while communicating with stakeholders. Responsibilities include data modeling, statistical analysis, and delivering insights through documentation and presentations.

The Data Engineer will work closely with software engineers to aggregate various data sources and develop actionable dashboards for business leaders at a premier banking client.

The Senior Data Analytics Specialist will collaborate with public safety professionals, providing expert support and developing data analytics solutions. Responsibilities include creating dashboards, training personnel, gathering feedback, and enhancing services, while ensuring clear communication between technical teams and clients.

As a Data Solution Consultant at Guidewire, you will engage with property and casualty insurance companies to advise on the Data Platform and its benefits. Your role involves technical sales support, conducting presentations, identifying platform requirements, and collaborating with clients to meet business objectives. You will leverage your data management experience and insurance domain knowledge to drive successful solutions.

In the role of Data Engineer at Hiveon, you will develop and support enterprise-level statistics services, design data storage solutions, optimize queries, and create impactful reports for high-load HPC business management. You will collaborate with development teams and perform database performance monitoring and improvement tasks.

As a Senior Database Administrator, you will manage and optimize MySQL and PostgreSQL databases, monitor server performance, resolve issues with minimal customer impact, and collaborate on projects within a global team. You'll be responsible for implementing improvements, conducting incident analysis, and ensuring data integrity and backups.

As a Sr Data Engineer, you will enhance data infrastructures for machine learning, manage data pipelines, develop complex queries, collaborate to deliver data solutions, and troubleshoot data issues. You'll be involved in implementing AI-based systems at a petabyte scale.