Top Data Engineer Jobs in Minneapolis, MN

Design and build data pipelines, develop and maintain scalable data infrastructure, collaborate across teams, and implement data quality frameworks.

The role involves building and optimizing data pipelines, modeling datasets, applying machine learning techniques, and supporting data strategies. Candidates should have experience with Python, data lakes, warehousing, and related technologies.

The Senior Data Analytics Engineer designs and implements data models and analytics solutions, oversees data pipelines, and collaborates with teams to drive insights.

The Senior Data Infrastructure Engineer will improve data infrastructure, manage data pipeline architectures, enhance observability, and guide the evolution of the data platform to support business analytics and AI use cases.

As a Senior Platform Engineer, you will develop and manage cloud and cold storage solutions, automate processes, and ensure system performance and security.

The Sr Data Engineer will lead data engineering initiatives, design and build data architecture, oversee software deployment, and support team operations while handling complex healthcare data.

In this role, you will design and maintain ETL processes, collaborate with teams for data insights, and utilize various programming tools to enhance operations.

The Software Engineer III will develop infrastructure for scientific analysis software, focusing on tools for high-quality delivery, scalability, and high availability, working in a team-oriented environment.

Design and develop efficient solutions for data extraction from scientific instruments, ensuring high performance, resiliency, and availability while working with a geographically dispersed team.

As a Data Software Engineer III at TetraScience, you will develop high-performance data connectors for scientific data acquisition, ensuring scalability, resiliency, and high availability while following agile methodologies.

Design, build, and maintain high-scale data ingestion pipelines. Collaborate with product management to define requirements and deploy resources in cloud data providers.

Lead the technical direction of the data platform, mentor team members, and collaborate across teams to implement best practices and design scalable systems.

The Lead Data/ML Engineer will design and maintain scalable data pipelines and AI systems, ensuring data reliability and collaboration with product teams.

As a Senior Data Engineer, you'll develop data solutions, manage scalable data pipelines, and drive insights for various teams using machine learning and AI.

The Senior Software Engineer will enhance the data pipeline for audio signal processing, ensuring low latency and scalability while working with cross-functional teams to develop new features.

As a Senior Data Engineer, you'll enhance data infrastructure, manage ETL workflows, and provide insights to support ad buying processes at MNTN.

As a Staff Data Engineer at Fi, you'll design scalable data infrastructure, develop data pipelines, and support machine learning initiatives for connected pet technology.

As a Machine Learning Engineer, you will design systems for safe data ingestion and optimize data usage to enhance models and products, collaborating closely with the Product team and customers.

As a Staff Data Engineer, you will enhance and modernize data platform infrastructure, manage data processing platforms, and mentor junior engineers.

As a Senior Software Engineer, you will design scalable data pipelines, engineer their infrastructure, and build secure APIs while collaborating across teams to ensure integration with third-party data sources.

The Senior Data Engineer will focus on ingesting and curating satellite imagery and geospatial data, building data pipelines, and mentoring junior engineers, while ensuring performance and scalability.

The role involves architecting and maintaining scalable data pipelines, ensuring data quality, and collaborating on data strategy. Ideal candidates have experience with AWS services and data governance in healthcare.

Lead the design and implementation of a modern data architecture, manage ETL pipelines, ensure data quality, and collaborate with cross-functional teams.

The Staff Data Engineer will design and implement data ingestion and transformation solutions on cloud platforms while providing technical leadership and support to product teams.

Develop and enhance high-volume data pipelines with ML capabilities, while collaborating with engineering teams to integrate data science into products and applications.