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American Fork, Utah, United States
Onsite
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.
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 at scale. This 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. You instrument pipelines with observability, validation, and alerting from day one, and you define the standards others follow.
Leadership & Ownership: You own work from scoping through production and beyond. You influence company-wide technology decisions and mentor others along the way—without waiting to be told what to do.
AI Infrastructure Fluency: Familiar with AI/ML data patterns—RAG architectures, vector stores, embedding pipelines—and able to build the data infrastructure those systems require.
Executive Communication: You build partnerships with executives and cross-functional stakeholders, translating complex technical trade-offs into clear recommendations that earn trust and drive adoption.
BENEFITS
We believe you do your best work when your whole life is supported. We invest in our crew’s health, families, and financial futures with a benefits package designed to support you inside and outside the office. Full-time benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits (401k match up to 4%), and flexible PTO.
LVT IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. All candidates must pass a drug screening and background check upon employment. Some roles may also require passing a federal background check and fingerprinting. Must be authorized to work in the U.S. If reasonable accommodation is needed to participate in the job application or interview process, and/or to perform essential job functions, please reach out to your recruiter.
