Top Data Engineer Jobs in Minneapolis, MN

The Data Conversion Developer will migrate data from PeopleSoft to Workday, ensuring accuracy and adherence to project timelines, while managing complex data activities independently.

As a Senior Data Engineer, you'll design and optimize ETL pipelines, manage data platforms, ensure data quality, mentor junior engineers, and drive data systems innovation.

Seeking a freelance technical writer for data infrastructure and engineering workflows. Responsibilities include translating complex concepts into digestible content and collaborating with SMEs for accurate communication.

The Senior Data Engineer designs and builds scalable data pipelines and infrastructure, oversees data engineering projects, collaborates with teams, conducts troubleshooting, and optimizes performance in a cloud-native environment.

Lead delivery teams in project completion, architect solutions, develop strategies, and mentor junior consultants while managing client relationships and expectations.

The Senior Software Engineer will design, build, and maintain data services and infrastructure, focusing on high-performance and scalable systems, alongside collaboration for data features across the company.

The role involves managing large-scale unstructured data for ML systems, contributing to the entire product lifecycle, and building reliable system software.

The Senior Data Engineer will design, develop, and maintain scalable cloud data infrastructure, optimizing data handling and collaborating across teams to enhance data strategies and quality.

Lead the design and development of web applications, data pipelines, and AI systems, integrating data, mentoring engineers, and ensuring high-quality software delivery.

The Senior Data Engineer will design and maintain data pipelines, ensure data quality, and collaborate closely with analytics teams using modern technologies like Databricks and AWS services.

The Data Infrastructure Engineer will design and maintain data systems for large-scale AI model training, handling structured and unstructured datasets while ensuring data quality and scalability.

The Senior Software Engineer will own large-scale data mining workflows, improve ML products through high-quality datasets, and analyze model performance across driving scenarios.

Seeking a Senior Data Engineer to design scalable data pipelines, unify data processing, and optimize data retrieval in a machine learning environment. Requires 5+ years of experience in data engineering and expertise in Python and SQL.

The Data Migration Engineer will design and execute SQL-based ETL processes to migrate public safety data, collaborate with internal teams, and ensure data fidelity during transitions.

Design, build, and support features for developers, ensuring reliability and scalability of systems, and contributing to product direction.

The Sr. Data Engineer will lead a team to develop and modernize scalable data processing systems for government partners, focusing on user-friendly experiences.

As a Data Operations Engineer, you will build and maintain ETL pipelines, ensure data quality, and collaborate with cross-functional teams to manage health data integration and processing.

As a Software Engineer on the Data Product team, you'll design and build scalable data services, collaborating across departments to enhance TRM's products with insights from blockchain data.

As a Staff Software Engineer focused on Scylla, you'll optimize performance, manage data infrastructure, collaborate on services, and debug production systems.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

The Software Engineer will implement data ingestion for Phare's platform, integrate with healthcare systems, design data pipelines, and ensure data integrity while collaborating with various teams.

The Senior Software Engineer, Data will design and maintain data pipelines, develop data products, and enhance product analytics capabilities, ensuring data quality and consistency.

Transform raw data into trusted datasets; build and optimize data pipelines; integrate customer data; ensure data quality and reliability.

Build and scale services and APIs for Postscript's Data Platform, focusing on performance and reliability while collaborating with other engineers.

The Senior Data Engineer manages data ingestion, develops ETL/ELT pipelines, integrates systems, and guides data management best practices, focusing on Azure technologies.