Top Data Engineer Jobs in Minneapolis, MN
The Data Engineer is responsible for managing projects, implementing and overseeing project plans, providing technical expertise in data tools like Fivetran and Snowflake, and ensuring project quality and timelines are met. The role includes mentoring team members and coordinating with cross-functional teams to ensure seamless project delivery.
The Lead Data Engineer will oversee the design and construction of data pipelines, mentor a team of Data Engineers, enhance existing software programs, lead the adoption of new technologies, and ensure effective data solutions aligned with the firm's strategic goals.
The Data Engineering Manager will lead initiatives to improve Datasite's data architecture, oversee the development of data pipelines, and ensure high-quality data availability. This role involves collaborating with leadership to translate business needs into technical requirements, exploring new data tools, and managing a team focused on enhancing data observability and integrity.
As a Senior ETL Data Engineer, you will develop and maintain ETL processes using Informatica PowerCenter, perform data analysis, support data warehouses, and collaborate with users to enhance data delivery for financial operations.
The Sr. Data Engineer will manage and optimize vector databases, lead data infrastructure migrations, ensure reliable performance and scalability of data systems, implement cloud solutions, and apply SRE practices to enhance system availability. Collaboration with cross-functional teams and troubleshooting issues related to data infrastructure is also key.
As a Quality Engineer, you'll assist in monitoring product and process quality, investigate quality issues, and coordinate improvement initiatives using data analysis. You will measure performance through KPIs, maintain dashboards, analyze trends, and ensure data integrity in a cross-functional environment.
The Lead Data Engineer will manage and mentor a data engineering team to deliver data solutions for clients. Responsibilities include overseeing data pipeline development, ensuring client integrations, applying data best practices, and managing project timelines while contributing hands-on to technical decision-making and code reviews.
The Data Engineer II will design, develop, and support data integration and ETL projects, mentor other data engineers, and ensure the quality of BI data. Responsibilities include data profiling, logical/physical modeling, performance tuning, and collaborating with offshore teams on development tasks.
The Lead Data Engineer will create and maintain data pipelines, handle complex data transformations, and collaborate with development teams. Responsibilities include optimizing queries, automating processes, and improving data systems. The role requires troubleshooting and incident resolution while providing leadership to the team.
The Principal Analytics Engineer at Americor will bridge data engineering, data science, and business intelligence, driving analytics innovations. Responsibilities include building and deploying automated machine learning models, conducting audits for best practices, and delivering impactful analytics solutions through advanced reporting and statistical experimentation.
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