3 engineering jobs found

Position Summary ​ The Marketing Data Engineer designs, builds, automates, and maintains the data infrastructure that powers Marketing Analytics Intelligence. This role develops reliable data pipelines, integrations, and data models that support reporting, analysis, and decision-making across the marketing organization. The Marketing Data Engineer partners with analysts and business stakeholders to ensure data is accurate, accessible, and scalable while continuously improving the efficiency and reliability of marketing data operations. Position Description Essential Duties and Responsibilities include the following.  Other duties may be assigned.  Design, develop, and maintain automated data pipelines and workflows using Alteryx, Google Cloud Platform, SQL, and Python. Build, maintain, and troubleshoot API integrations with digital marketing and advertising platforms to support reliable data ingestion. Own the full lifecycle of assigned data pipelines, including design,...

Position Summary ​ The Artificial Intelligence/Machine (AI/ML) Learning Engineer plays a vital role in designing, building, and implementing enterprise-grade Artificial Intelligence and Machine Learning solutions. This position focuses on leveraging the Microsoft and Azure stack to create and deploy intelligent automation, predictive analytics, and other AI-powered tools. This role will collaborate closely with business units to gather requirements and scope projects, and drive them to resolution, while also helping to establish and build out the company's AI Center of Excellence (COE). Position Description Essential Duties and Responsibilities include the following.  Other duties may be assigned.  Design and implement end-to-end AI and Machine Learning solutions, platforms, and tools. Develop solutions focused on Intelligent Automation and Predictive Analytics. Build and deploy models predominantly within the Microsoft and Azure Stack (e.g., Azure ML, Cognitive...

Position Summary ​ The Senior Data Analytics Developer will play a crucial role in ensuring relevant, timely, and actionable business integrations for Living Spaces. They will take charge of designing, testing, and maintaining data integration, data transformation, and data quality processes while maximizing efficient use of Living Spaces data across teams and platforms. Position Description Essential Duties and Responsibilities include the following.  Other duties may be assigned.  Architect, build, and launch intuitive data models that provide actionable insights for stakeholders across Living Spaces. Determine the optimal data architecture to ensure seamless data integration, distribution, and analysis for Living Spaces’ business data domains, including Marketing, Finance, Sales, Logistics, Support, and more. Build highly efficient and reliable data pipelines to move large and small data amounts from Living Spaces’ Data Warehouse/Retail Systems to downstream...