Data Engineer, AI

ABOUT LVT LVT is redefining how businesses operate in the physical world, moving beyond traditional security solutions to deliver AI-driven, actionable intelligence that makes sites smarter, safer, and more secure. Since pioneering our first mobile, solar-powered units , our commitment to scrappy, hands-on innovation has made us an established leader and one of the fastest-growing companies in intelligent site technology. We are building the next generation of solutions—from our physical units in the field to a powerful Agentic AI platform—that allows our customers to gain unprecedented visibility and control over safety, compliance, and operations. This is your chance to join a cutting-edge team that isn't just watching the world change, but actively building the technology that is changing it. We’re a team that’s focused on growth and innovation, and we’re proud that our crew, products, and leadership are being recognized for it. A Top-Tier Growth Company: Named one of the Financial Times’ Fastest Growing Companies 2025 and #10 on the Inc. 5000 Rocky Mountain Regional list for 2025. Innovative Leadership: Our CEO, Ryan Porter, was named an EY Entrepreneur of the Year 2025 , and our CTO, Steve Lindsey, was inducted into the Silicon Slopes CTO Hall of Fame in 2024. Product &amp; Software Excellence: We were named one of The Software Report’s Top 100 Software Companies of 2023 and are a winner of the Security Today Govies Award for 2025. ABOUT THIS ROLE As Data Engineer, AI, you will play a key role in building and advancing LVT’s data platform — contributing across the full data engineering lifecycle, from ingestion and transformation to semantic modeling and delivery — while also helping build the data infrastructure that powers LVT’s AI initiatives, including RAG pipelines and Snowflake Cortex models. This is a core engineering role with an AI edge: you’ll keep the data platform running with precision and reliability, and you’ll be the person who makes sure our AI systems have the clean, well-structured data they need to perform. LVT is a flexible-first company. This role can be performed remotely, with a preference for candidates who can work from our American Fork, UT office. ROLE RESPONSIBILITIES Design, build, and maintain scalable ELT pipelines that move data reliably from source systems into a clean, well-governed data platform. Develop and maintain semantic models that expose consistent, trusted business definitions across reporting and analytics surfaces. Own data quality — implement validation, monitoring, and alerting frameworks that catch problems before they reach stakeholders. Optimize Snowflake performance across ingestion, transformation, and storage, including dynamic tables, clustering, and query tuning. Architect and build the data infrastructure required for RAG applications, including vector storage, chunking strategies, and retrieval pipelines. Collaborate with AI/ML engineers to support Snowflake Cortex model development with well-structured, context-rich training and inference data. <li&gt