Top Data Engineer Jobs in Minneapolis, MN

The Data & Analytics Solution Architect will lead the design and implementation of data warehouses and analytics solutions while providing architectural guidance. This role involves collaborating with team members and clients to understand business requirements, developing KPIs, and managing the full lifecycle of BI applications using Microsoft tools and technologies.

The VP of Engineering, Data at Axios will lead the data engineering, data science, and analytics teams, overseeing the data platform's architecture and infrastructure. They will manage the data leadership team, set the vision and strategy for data initiatives, ensure alignment with company goals, and foster a diverse and inclusive environment.

The Power BI Data Integration Specialist will design and develop Power BI solutions, integrate real-time data pipelines, and create optimized data models. Responsibilities include advanced query development, deployment and administration of Power BI services, collaboration with stakeholders, performance tuning, and documentation of technical processes. The role requires strong expertise in real-time data processing and data visualization.

As a Staff Analytics Engineer, you will design and build data pipelines and infrastructure to enhance operational performance. Collaborating with data scientists and engineers, you'll ensure clean, accessible data and contribute to data strategy focusing on quality and governance. Mentor junior team members and optimize data systems for business operations.

The Senior Data Engineer will design and implement data products, collaborate with teams using Agile/Scrum, and develop high-volume data processing solutions. Responsibilities include optimizing existing solutions, analyzing data, managing data pipelines, automating processes, and ensuring quality across engineering practices while mentoring other engineers.

The Senior Analytics Engineer is responsible for maintaining system security and implementing measures to protect data. They develop cybersecurity strategies, conduct vulnerability tests, respond to incidents, and collaborate with departments on fault troubleshooting. This role also requires generating reports, planning security upgrades, and identifying threats using user behavior analysis.

The Lead Insights & Analytics Manager is responsible for developing lifecycle data capabilities, collaborating with teams to enhance data-driven decision-making, conducting complex analyses to uncover insights, constructing forecasts, and overseeing report specifications based on business needs.

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.

The Lead Data Engineer is responsible for designing, building, and optimizing data orchestration and pipeline architecture. This role involves maintaining data engineering architecture, implementing ELT and ETL processes, and mentoring junior engineers while supporting data needs across multiple teams and products.