Top Data Engineer Jobs in Minneapolis, MN

The Data Engineer II will develop data solutions for product modernization, manage complex data, and ensure quality, governance, and security of data products.

The Senior Data Engineer II designs and maintains data pipelines, supports machine learning workflows, and collaborates with product teams to enhance data integration and analytics.

As a Senior Data Platform Engineer, you will oversee the administration of Databricks and AWS, manage data engineering dev ecosystems, collaborate with teams on data needs, and mentor junior staff.

As a Data Engineer, you will build data pipelines, perform data analysis, design data solutions, and contribute to AI and ML initiatives.

The Data Engineer will develop and optimize ETL pipelines and systems in Google Cloud Platform, collaborating with engineers and scientists to support B2B data solutions.

The role involves designing data pipelines, creating dashboards, developing Python and SQL components for automation, maintaining cloud infrastructure, and collaborating on project objectives.

As a Data Engineer, you will build data pipelines, APIs, and contribute to the core product's analytics while collaborating with cross-functional teams.

The Data Platform Engineer will improve data capture tools, enhance pipeline frameworks, and ensure data observability for Upstart's data lakehouse.

Lead the technical vision for the Data Platform team, focusing on building scalable infrastructure and providing mentorship across engineering teams.

Lead the design, build, and deployment of data pipelines, ensuring data integration and customer support while maintaining high data quality standards.

Lead data engineering efforts by gathering requirements, building scalable data platforms, integrating systems, and delivering high-quality code to enhance decision-making through data.

As a Senior Data Engineer, you will build and scale data pipelines, ensure data quality, and collaborate to enhance the data infrastructure at Perchwell.

Design and build data integration frameworks and pipelines while ensuring data accuracy and resolving management issues, collaborating with DevOps and data scientists.

The Data Engineer II will develop and maintain data pipelines, optimize workflows, troubleshoot issues, and implement best practices while collaborating with cross-functional teams.

As a Data Engineer, you will design and implement data platform capabilities, support compliance, and ensure secure data consumption while mentoring clients and improving data pipelines.

Design and implement data workflows and pipelines, ensuring quality and compliance while deploying and operating data streaming technologies in AWS and Kubernetes environments.

The Data Engineer will develop data pipelines, manage production data, integrate AWS services, and collaborate with the engineering team for data solutions.

Seeking a Data Engineer to build and maintain data pipelines using GCP services, work with GA4 data, and ensure data quality for insights.

The Senior Data Engineer will develop and maintain data pipelines, collaborate with Analysts, and ensure high code and data quality on the Hungryroot Analytics model.

Lead the evolution of SimplePractice's data stack, building scalable systems for analytics, reporting, and product insights in a fast-paced environment.

As a Data Engineer, you will build and optimize data models, maintain scalable data infrastructure, and ensure data quality for analytics.

The Data Engineer designs and maintains data infrastructure, optimizing data pipelines, ensuring data quality, and collaborating with various teams to support product requirements.

The Data Engineer Senior is responsible for designing and maintaining data pipelines, mentoring colleagues, and optimizing data architecture using ETL/ELT practices.

The Data Engineer designs and maintains scalable data pipelines, automates ELT processes, and collaborates with teams to optimize data systems.

The Data Engineer will build and optimize data pipelines, ensuring accurate data delivery for pricing models and analytics, while collaborating with internal teams.