Top Senior Level Data Engineer Jobs in Minneapolis, MN
The Data and Integrations Consultant will lead the delivery of integration services by providing guidance and support to customers, ensuring seamless data flow between their CRM and ERP systems and AcuityMD's platform. Responsibilities include troubleshooting, maintaining integrations, and collaborating with internal teams to develop tailored solutions while identifying opportunities for upselling consulting services.
The Lead Data Engineer will design and develop Snowflake Data Cloud solutions, including data ingestion pipelines and data architecture, mentoring junior engineers, and leading technical teams. This role requires expertise in cloud data warehouses and ETL/ELT processes to optimize data systems for customer projects.
The Senior Data Engineer at OneSignal will design, build, and maintain data systems to ensure reliable data access across various business functions including sales, marketing, and operations. Responsibilities include connecting data sources, improving data flows, creating ETLs, and implementing data validation processes.
The Data Ingestion Lead will oversee data acquisition, ingestion, and transformation processes in the Global Pet Nutrition division. Responsibilities include optimizing data workflows, ensuring data quality and reliability, implementing compliance checks, and collaborating with various teams to enhance data capabilities.
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.
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 Architect will support and enhance Data & Analytics platforms, focusing on data movement and database technologies for analytics and ML/AI. Responsibilities include identifying performance bottlenecks, leading architectural development, designing end-to-end solutions, collaborating with various teams, and ensuring project alignment with best practices.
The Principal Data Engineer will design and implement end-to-end data workflows for ML modeling, improve model performance, and enhance data processing frameworks. Responsibilities include creating standards and best practices, ensuring data accuracy, and collaborating with data scientists to meet data needs.
As a Senior Data Engineer, you will design, develop, and maintain data platforms to support organizational data needs, build scalable data ingestion pipelines, lead data governance efforts, and collaborate with Data Scientists and Product Managers to implement data models and ETL processes, predominantly using AWS technologies.
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As a Senior/Staff Data Engineer at StackAdapt, you will design scalable real-time data pipelines, implement architectural improvements for big data ML pipelines, and work on microservice architectures for ML models. You'll collaborate with data scientists and engineers to solve complex issues within digital advertising.
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