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LVT (LiveView Technologies)

<div><div><p><b>ABOUT LVT</b></p>
<p>
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&mdash;from our physical units in the field to a powerful Agentic AI platform&mdash;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.</p>
<p>
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.</p>
<ul>
<li><b>A Top-Tier Growth Company: </b>Named one of the <i>Financial Times' Fastest Growing Companies 2025</i> and <i>#10 on the Inc. 5000 Rocky Mountain Regional</i> list for 2025.</li>
<li><b>Innovative Leadership: </b>Our CEO, Ryan Porter, was named an <i>EY Entrepreneur of the Year 2025</i>, and our CTO, Steve Lindsey, was inducted into the <i>Silicon Slopes CTO Hall of Fame</i> in 2024.</li>
<li><b>Product &amp; Software Excellence: </b>We were named one of <i>The Software Report's Top 100 Software Companies of 2023</i> and are a winner of the <i>Security Today Govies Award </i>for 2025.</li>
</ul></div><h2 class="jobSectionHeader"><b>ABOUT THIS ROLE</b></h2>
<p>
As Data Engineer, AI, you will play a key role in building and advancing LVT's data platform &mdash; contributing across the full data engineering lifecycle, from ingestion and transformation to semantic modeling and delivery &mdash; 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.</p>
<p>
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.</p>
<h2 class="jobSectionHeader"><b>
ROLE RESPONSIBILITIES</b></h2>
<ul><li>Design, build, and maintain scalable ELT pipelines that move data reliably from source systems into a clean, well-governed data platform.</li>
<li>Develop and maintain semantic models that expose consistent, trusted business definitions across reporting and analytics surfaces.</li>
<li>Own data quality &mdash; implement validation, monitoring, and alerting frameworks that catch problems before they reach stakeholders.</li>
<li>Optimize Snowflake performance across ingestion, transformation, and storage, including dynamic tables, clustering, and query tuning.</li>
<li>Architect and build the data infrastructure required for RAG applications, including vector storage, chunking strategies, and retrieval pipelines.</li>
<li>Collaborate with AI/ML engineers to support Snowflake Cortex model development with well-structured, context-rich training and inference data.</li>
<li>Partner with analytics engineers, data scientists, and business stakeholders to translate requirements into durable data solutions.</li>
<li>Document data architecture, pipeline design, and modeling decisions to support team knowledge and long-term maintainability.</li>
</ul><h2 class="jobSectionHeader"><b>OUR IDEAL CANDIDATE</b></h2>
<ul><li><b>Data Engineering Foundation: </b>5+ years building and maintaining production-grade pipelines using SQL, Python, and modern ELT tools such as dbt, Fivetran, or Airflow.</li>
<li><b>Snowflake Proficiency: </b>Deep hands-on experience with Snowflake, including performance optimization, dynamic tables, and familiarity with Cortex AI capabilities.</li>
<li><b>Semantic Modeling Experience: </b>Ability to design and maintain semantic or metrics layers that enforce consistent business logic across the organization.</li>
<li><b>AI Infrastructure Awareness: </b>Working knowledge of RAG architectures and the data patterns &mdash; chunking, embedding, retrieval &mdash; that support LLM-driven applications.</li>
<li><b>Data Quality Ownership: </b>Strong instinct for reliability &mdash; you instrument pipelines with observability and validation from the start.</li>
<li><b>End-to-End Mindset: </b>Comfortable owning work from scoping through production &mdash; you define the problem, build the solution, and stand behind the outcome.</li>
<li><b>Collaborative Communicator: </b>Able to work fluidly with engineers, analysts, and non-technical stakeholders, translating ambiguity into clear data solutions.</li>
</ul><div><div>
<p><b>BENEFITS</b></p>
<p>
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.</p>
<p><b><i>
LVT IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER.</i></b><i> 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.</i></p></div></div></div>

Data Engineer

Join LVT (LiveView Technologies) and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

LVT (LiveView Technologies)

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Data Engineer