Top Senior Level Data Engineer Jobs in Minneapolis, MN

The Senior Database Administrator is responsible for managing the ADABAS Database environment, including installation, customization, maintenance, performance tuning, security management, disaster recovery planning, and the implementation of new technologies. They collaborate with development teams to optimize database queries and support both structured and unstructured data management.

Responsible for infrastructure and operations of data storage solutions, third-party integrations, data provisioning services, and ETL/ELT code-based solutions. Develop and implement ETL/ELT pipelines, design databases, and optimize queries for web applications. Work collaboratively with data scientists, programmers, and IT teams in a global setting. Preferred experience in Clinical Data and Regulatory Governance in Pharma Industry.

The Head of Analytics at Peerspace will lead the analytics team, develop data strategies, and drive decision-making through data insights. Responsibilities include optimizing analytics infrastructure, establishing reporting frameworks, and collaborating with cross-functional teams to enhance marketplace efficiency.

The MySQL DBA will manage and optimize MySQL databases, ensuring performance, security, and availability. Responsibilities include installation, monitoring, backups, disaster recovery, and collaboration with developers for query optimization.

The Lead Data Visualization Developer is responsible for designing and creating dashboards and reports based on client needs, utilizing SQL for data exploration and collaborating with stakeholders for effective data visualization solutions. This role focuses on supporting self-service analytics environments rather than advanced data science techniques.

The Data Architect at Sunnova is responsible for developing data collection, modeling, and integration strategies. This includes designing data pipelines, managing Snowflake data warehouses, and integrating data from Salesforce. The role involves optimizing data storage, ensuring data quality, and collaborating with analysts and scientists to support data-driven decision-making.

The Principal Data Architect will lead data integration and analytics efforts, collaborating with Data Science and Marketing teams. Responsibilities include designing data models, building data pipelines, improving integration practices, and ensuring service quality. They will work on enhancing data-driven marketing insights and maintaining high-quality data processes.