Senior Data Engineer
Indexed description
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.
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 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.
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.
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