Senior Data Engineer
AI summary of the role
Senior Data Engineer owning LVT's core data platform: architecting production-grade ELT pipelines, Snowflake environment, and semantic models to power reporting, analytics, and AI capabilities.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Design, build, and maintain scalable, production-grade ELT pipelines 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.
- Establish data quality infrastructure with validation, monitoring, and alerting frameworks.
What you’ll bring
- 7+ years building and operating production data pipelines using SQL, Python, and modern ELT tooling (dbt, Fivetran, Airflow, or equivalents).
- Expert-level Snowflake experience—performance optimization, dynamic tables, data security, and Cortex familiarity.
- Proven ability to design and maintain semantic or metrics layers enforcing consistent business logic across a multi-team organization.
- Familiarity with AI/ML data patterns—RAG architectures, vector stores, embedding pipelines.
Technologies
Snowflake · dbt · Fivetran · Airflow · SQL · Python · RAG · vector storage · Snowflake Cortex · ELT
About LVT
Rapidly deployable solar/cellular security hardware plus SaaS for AI-driven visibility, deterrence, and operational intelligence at physical sites.
Series B · 500–1000 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
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. ABOUT THIS ROLE 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
More from the job description
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 & Software Excellence: We were named one of The Software Report’s Top 100 Software Companies of 2023 an [... source excerpt omitted ...] andards, 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. ROLE RESPONSIBILITIES 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 th [... source excerpt omitted ...] ld strong partnerships with executives and business stakeholders to drive adoption of data solutions. OUR IDEAL CANDIDATE 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 ac
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