Top Data Engineer Jobs in Minneapolis, MN

The Principal Data Engineer will lead data engineering efforts on public cloud, design scalable solutions, build data pipelines, and drive deliverables with a high level of technical expertise in relevant technologies.

Design and optimize database architecture and data models, implement data pipelines, develop solutions on cloud platforms, ensure data quality, manage projects and mentor junior engineers.

As a Senior Associate, you will design data solutions, manage ecosystems, mentor junior members, and maintain high standards while building client relationships. The role requires analyzing complex problems and delivering quality work.

As a Manager in Managed Services, you'll lead data ecosystems projects, mentor juniors, manage client accounts, and deliver data strategies to optimize operations and drive insights for clients.

The Data Engineer will build real-time data pipelines for pricing algorithms, collaborate with teams, and contribute to batch data workflows.

As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.

Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.

As a Senior Associate in Data Engineering at PwC, you will design and implement data architecture strategies, analyze complex issues, mentor junior members, and build client relationships while ensuring adherence to project standards.

As a Data Engineer II, you will build and optimize data pipelines in Databricks, ensure high-quality data delivery, and support generative AI applications. You will collaborate with data scientists and AI engineers to provide reliable data infrastructures and meet business needs.

The Senior Data Engineer will maintain and improve data pipelines, ensure data integrity, and work with cloud data platforms, focusing on performance and data governance.

The Data Engineer will develop and maintain data pipelines, ensuring data accessibility and quality while collaborating with various teams. Responsibilities include architecting data solutions on GCP, managing ETL processes, establishing data governance, and building CI/CD pipelines for automation.

The Data Engineer is responsible for developing data infrastructure, building data pipelines, managing data quality, and integrating analytics tools to support design and project operations.

The Senior Data Engineer at HealthPartners will build, manage, and optimize data pipelines, collaborate with teams, design technology solutions, and ensure data reliability and quality while mentoring team members.

As a Data Engineer II, you will design and operationalize data solutions, mentor teams, and support analytics transformation using AWS and Python, focusing on data quality and governance.

As a Data Engineer II, you will build complex data solutions, ensure data quality, collaborate with teams, and lead projects to enhance analytics capabilities.

The Senior Data Engineer will design and implement scalable data models in BigQuery using dbt for analytics and reporting, ensuring data governance and optimal performance.

The Senior Data Engineer will manage Oracle Exadata Database Machines, ensuring operational availability, performance engineering, and automation, along with infrastructure architecture and lifecycle management.

Design, build, and operationalize data and ML pipelines on Databricks. Implement CI/CD and infrastructure-as-code, ensure data quality/governance, troubleshoot incidents, and collaborate cross-functionally to enable reproducible ML lifecycle and deployments.

Lead data engineering teams, oversee data architecture and pipelines, implement data governance, and partner with cross-functional teams to drive business outcomes and enhance data management practices.

The Data Developer II designs, develops, and maintains data products, supporting data acquisition and modeling to enhance business operations.

As a Data Engineer II (Tech Lead), you will design and build complex data solutions, optimize data transformation processes, and collaborate with teams to enhance analytical capabilities across the organization.

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.

Lead design and implementation of scalable, HIPAA-compliant data pipelines and platforms for healthcare ML. Build ETL, orchestration, and tooling for processing EHR, claims, pharmacy, and bioinformatics data; collaborate with data scientists to produce modeling-ready datasets and ensure data quality, reliability, and operational excellence.

Design and build data warehouse architecture, develop ETL/ELT pipelines, implement data governance, and partner with teams to improve data systems.

The Data Engineer will build scalable privacy-centric data frameworks, engineer data pipelines, and ensure compliance with privacy regulations at Netflix.