Senior Data Engineer American Fork, Utah

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 & 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.

As Senior Data Engineer, you will own and evolve LVT’s core data platform—architecting and operating the pipelines, transformations, and semantic models that power reporting, analytics, and business decisions s is a high‑impact individual contributor role: your technical decisions will influence company‑wide systems and competitive positioning, not just team‑level outputs. You’ll lead cross‑functional data initiatives, set engineering standards, and contribute to the data infrastructure that supports LVT’s growing AI capabilities.

This role is based in‑office out of our Headquarters in American Fork, Utah.

Design, build, and maintain scalable, production‑grade ELT pipelines that move data reliably from diverse source systems into a clean, well‑governed data platform.

Architect and own LVT’s Snowflake environment—performance tuning, dynamic tables, clustering strategies, storage optimization, and cost governance.

Develop and enforce semantic models that expose consistent, trusted business definitions across all reporting and analytics surfaces.

Define and drive data engineering standards that improve quality, reliability, and productivity across teams—not just within BI.

Lead cross‑functional data initiatives, partnering with engineering, finance, operations, and product to deliver solutions that drive meaningful organizational outcomes.

Establish data quality infrastructure—implement validation, monitoring, and alerting frameworks that surface problems before they reach stakeholders.

Contribute to AI data infrastructure—support RAG pipelines, vector storage, and Snowflake Cortex integrations as one component of the broader engineering scope.

Mentor junior engineers and build strong partnerships with executives and business stakeholders to drive adoption of data solutions.

Seasoned Data Engineer: 7+ years building and operating production data pipelines using SQL, Python, and modern ELT tooling (dbt, Fivetran, Airflow, or equivalents). You’ve owned systems under pressure and know how to build for long‑term reliability.

Snowflake Depth: Expert-level Snowflake experience—performance optimization, dynamic tables, data security, and Cortex familiarity. You know when and why to use each capability.

Semantic Modeling Ownership: Proven ability to design and maintain semantic or metrics layers that enforce consistent business logic across a complex, multi‑team organization.

High-Impact Execution: You operate at the level of organizational strategy—your work influences competitive positioning, not just sprint delivery. You define standards, evaluate trade‑offs, and build for the long term.

Data Quality Obsession: Reliability is non‑negotiable.…