Top Senior Data Engineer Jobs in Minneapolis, MN

Design, build, and optimize scalable data and AI platforms on Azure. Focus on data pipelines, real-time processing, and AI/ML integration using Databricks and modern cloud technologies.

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 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 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 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.

The Principal Data Engineer will design, implement, and lead data solutions, working closely with teams using technologies like Azure Databricks and Kafka, mentoring junior engineers, and improving CI/CD and DataOps practices.

The role involves building large, scalable analytics pipelines, defining data models, integrating data, and collaborating on data architecture and strategies.

The Senior Data Engineer will design, develop, and maintain ETL workflows and pipelines, optimize performance, troubleshoot ETL processes, and ensure data quality in a healthcare setting.

The Senior Data Engineer will design and build scalable data pipelines and platforms, ensuring data quality and collaborating with teams to support analytics and AI solutions.

The Senior Data Engineer develops data sources and pipelines, integrating cloud and on-premises systems, monitoring data quality, and automating processes for reliable data management.

The Senior Data Engineer will develop and optimize ETL pipelines and data applications, ensuring high-quality data delivery and addressing production issues effectively.

The Senior Data Engineer will design, build, and operate data pipelines and platforms on Azure, ensuring efficient data solutions and mentoring engineers.

The Senior Data Engineer will design and implement enterprise data architecture, oversee data modeling, ensure data governance, and automate workflows, while collaborating with cross-functional teams.

The Azure Principal Data Engineer designs and evolves scalable Azure data platforms, ensuring data transformation, governance, and automation, while mentoring engineers.

Design and implement scalable ETL/ELT pipelines for structured and unstructured data, ensure data quality for bot training and real-time decisions, integrate data with conversational AI platforms, monitor and maintain voice bot systems, implement logging/monitoring, optimize data flows, and collaborate with AI/ML, DevOps, and compliance teams.

The role involves architecting and improving data systems, defining governance standards, optimizing performance, and mentoring engineers in data engineering.

Lead the evolution of data platform by designing scalable pipelines, improving data processes, mentoring teams, and modernizing data architecture.

The Senior Data Engineer will design and maintain data pipelines, optimize data frameworks, and collaborate with teams to deliver scalable data solutions, primarily using Python, SQL, and cloud technologies.

Design and develop ETL processes, work on data architecture, optimize data storage, and support analytics development while collaborating with business teams.

In this role, you'll build and scale high-throughput data pipelines, ensure data quality, and leverage AI for improved data operations. You'll also lead initiatives in a fast-paced environment focused on real estate data engineering.

As the founding engineer of the Data Intelligence team, you will design semantic layers, develop AI tooling, and automate data processes to drive business insights.

The role involves designing Azure-based data platforms, implementing data transformations, and advising on data governance best practices while engaging with clients.

As a Senior Forward Deployed Data Engineer, you will design and implement data pipelines for media agency clients, manage technical delivery, and ensure data security while mentoring junior engineers and communicating effectively with stakeholders.

As a Senior Data Engineer at Jellyfish, you'll build and maintain data pipelines, optimize orchestration, automate CI/CD processes, and enhance data integration while ensuring high performance and reliability.