Top Data Engineer Jobs in Minneapolis, MN

The Senior Director of Strategic Partnerships at insightsoftware will develop the partner program for Logi Symphony, focusing on identifying and managing partner relationships to increase bookings through strategic alliances. This role involves utilizing data for decision-making and collaborating with cross-functional teams to drive program growth and ensure alignment with business objectives.

The Advanced Analytics Lead at Airbnb will provide insights and recommendations to support product and business leaders in the Community Support organization. The role involves driving data-driven decisions, building analytical frameworks, and leveraging machine learning infrastructure to improve travel and hosting experiences.

The Data Strategist will manage measurement strategies for marketing campaigns, leveraging data analysis, statistical modeling, and customer insights. Key responsibilities include identifying performance insights, maintaining client relationships, presenting findings, and improving reporting processes.

The Senior Data Engineer will develop and manage a robust data ingestion platform using Azure technologies and tools. Responsibilities include designing data pipelines, writing complex SQL queries, participating in agile ceremonies, and ensuring data quality and validation in the data warehouse.

The Sr. Database Administrator will support a DoD project, overseeing database administration, design and development. The ideal candidate will have extensive experience with Oracle and Microsoft SQL Server, including familiarity with database standards and methodologies. Other key responsibilities include maintaining database integrity and working on IT projects for the Navy.

The Tax Data Specialist is responsible for maintaining tax profile data, processing customer profile updates, managing cases related to tax inquiries, and ensuring data accuracy in systems like TaxEx and Workday. They provide support for payroll tax data analysis and assist customers with filing impacts while maintaining quality metrics.

The Senior Data Engineer will build and maintain data models, collaborate with teams for data analysis, ensure coding standards, and set up monitoring systems for data KPIs. The role requires deep knowledge in scalable data architecture and ETL processes, along with strong analytical and communication skills.