Top Senior Level Data & Analytics Jobs in Minneapolis, MN

The Senior Data Engineer is responsible for designing, developing, and maintaining data infrastructure, creating scalable data pipelines, and ensuring data quality and governance. They collaborate with various teams to meet data needs and stay updated on new data technologies.

The Data Scientist - Architect will design, develop, test, and support scalable machine learning solutions using Azure tools. Responsibilities include leading technical discussions with clients, assisting with pre-sales activities, elevating team talent through coaching, and identifying opportunities for Azure solution architecture in client accounts.

The SAP FI-CO Analyst will provide operational support, enhancements, and improvements for the Web-based Supply Chain Management project, ensuring compliance with financial business processes. Responsibilities include SAP configuration, solution design, proof of concepts, and collaboration with business and technical teams.

Deliver scalable, performant ETL processes in multi-tenant cloud infrastructures, focusing on healthcare data. Design and implement enterprise data schemas, clean and transform data sets, and operate ETL software components. Collaborate with team members and clients to achieve scalability and high performance.

The Senior Data Engineer at Bluesight will build and maintain robust data architectures and infrastructure, develop data governance practices, support data products, and collaborate with engineering and external customers to enhance medication workflows. The role involves using various data orchestration tools and programming languages, while ensuring effective communication about data implementations across teams.

Seeking a highly experienced Senior Data Engineer to develop and maintain the data architecture of an AI-powered platform for clinical-stage biotech companies. Remote position with significant overlap with Los Angeles working hours.

As a Senior Data Engineer at Bluesight, you will design and maintain robust data architectures, facilitate effective data stewardship, and develop customer-facing data products. You'll work closely with engineering teams, product owners, and external clients to create and enhance data pipelines and governance practices, ensuring optimal purchasing decisions for hospital buyers.