We are looking for an experienced Principal Data Engineer to work hands-on on the re-engineering of an existing enterprise data platform built on Azure Synapse Analytics. The role requires strong technical depth to audit, understand, and validate a
The Data & Analytics Platforms Team (DAP) develops and runs central platforms and data products, which enable the Allianz Operating Entities (OEs) to generate value from data & analytics at scale. The major offering is the Allianz Data Platform (ADP)
Job Description: Ryan Companies has an immediate need for a Senior Data Engineer. This is a 4-days-per-week IN-OFFICE opportunity for our Minneapolis headquarters, providing 1 day work-from-home each week. The Senior Data Engineer will play a foundational role
The role – what you’ll do Barr is seeking an electrical engineer to join our wind and solar collection team. In this hybrid role, you will support the power delivery team, working with multidisciplinary project teams
Summary Brand Experience Associate - Hybrid in Minneapolis, MN Position Summary The Brand Experience Associate supports the day-to-day execution of showroom experiences, workplace operations, hospitality services, and creative production. This role ensures environments are organized, guest-ready,
Overview Location: Hybrid (Up to 3 Days Per Week Onsite) | Bloomington, MN Employment Type: Contract-to-Hire / Staff Augmentation OpportunityClient: Trissential Client Partner Team Are you an experienced Cloud Architect who can bridge enterprise strategy with
Senior Director of Channel Sales, AI Cybersecurity, Remote We are a fast-growing, venture-backed cybersecurity company building the next-generation autonomous data security platform. Our solution automates data loss prevention (DLP) and insider risk management (IRM) in modern environments, protecting
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with product managers,
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with product managers,