Top Data Engineer Jobs in Minneapolis, MN

The Data Engineer II will build and operationalize data pipelines, design scalable solutions, and work with large-scale datasets to support analytics and reporting.

As a Senior Data Engineer, you will own and optimize data platforms in Databricks, design ETL pipelines, and enable AI applications, partnering with cross-functional teams.

As a Senior Engineer on the Finance + Data Team, you'll architect systems, automate workflows, and develop AI-enabled insights to enhance decision-making and drive business impact.

Design and maintain scalable data pipelines and infrastructure for AI and ML initiatives, ensuring data quality and collaborating with teams to deliver insights.

The Senior Software Engineer will enhance Doximity's data platforms, collaborating with data teams to resolve challenges, and implement solutions to improve the data stack.

Lead fullstack applications and data systems for Yahoo Search, overseeing technical direction, coach engineers, ensure code quality, and collaborate on scalable solutions.

The role involves designing and developing scalable data pipelines, migrating to a cloud-first architecture, and collaborating on data solutions using modern cloud data technologies.

Design, develop, and manage data infrastructure for internal and client projects, focusing on large-scale data pipelines, APIs, and cloud deployments.

The Data Engineer I will build robust data models, maintain data infrastructure, ensure data quality, and collaborate with analysts and scientists for business insights.

The Senior Analytics Engineer will design and maintain data models, develop user-facing data products, optimize BI systems, and troubleshoot data pipelines while ensuring data quality and security standards.

The Epic Cogito Data Engineer will gather reporting requirements, design and develop reports, and provide post-implementation support in healthcare IT.

As a Data Engineer, you'll build data pipelines, transform telemetry into performance metrics, and derive QoE insights, collaborating with a small team.

The Data Engineer I supports data conversions, hygiene, and custom services by manipulating, editing, and transforming datasets. Responsibilities include monitoring data jobs, validating data, and documenting workflows.

The Senior Data Engineer will build and maintain analytics infrastructure, develop ETL processes, integrate data sources, mentor team members, and optimize data architecture.

Starburst seeks a Senior Software Engineer to improve its data ingestion and transformation platform, focusing on building scalable systems using Java, and distributed technologies like Trino and Apache Iceberg. You'll collaborate with teams to design features and maintain high standards for software development.

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.

Design and maintain data pipelines, manage Hightouch syncs, optimize SQL queries, troubleshoot issues, and collaborate with stakeholders. Requires 5+ years in data engineering.

Design and implement scalable data orchestration and processes, optimize data operations, and support building various platform areas.

The Data Engineer will support US National Defense by developing ETL workflows, creating reports, and collaborating with stakeholders to provide data insights.

As a Data Engineer, you will build complex data solutions, analyze and recommend data for analytics, and collaborate within teams to improve data product delivery.

The Data Engineer will build and operationalize complex data solutions, collaborate within teams, and support analytics through data pipelines and quality management.

The Data Engineer will design and automate data pipelines, ensure data reliability, maintain reference datasets, and implement ML workflows within healthcare operations.

Design and optimize data pipelines, work with structured/unstructured data, ensure data quality for analytics, and collaborate with data scientists.

As a Data Engineer Consultant, you will design and implement scalable data solutions, advise clients on optimizing data environments, and support long-term data infrastructure.

As a Data Engineer, you'll design, build, and optimize data models and pipelines, ensuring data quality and creating dashboards.