Data Engineer, AI
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.
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.
Role Responsibilities
- Design, build, and maintain scalable ELT pipelines that move data reliably from source systems into a clean, well-governed data platform.
- Develop and maintain semantic models that expose consistent, trusted business definitions across reporting and analytics surfaces.
- Own data quality — implement validation, monitoring, and alerting frameworks that catch problems before they reach stakeholders.
- Optimize Snowflake performance across ingestion, transformation, and storage, including dynamic tables, clustering, and query tuning.
- Architect and build the data infrastructure required for RAG applications, including vector storage, chunking strategies, and retrieval pipelines.
- Collaborate with AI/ML engineers to support Snowflake Cortex model development with well-structured, context-rich training and inference data.
- Partner with analytics engineers, data scientists, and business stakeholders to translate requirements into durable data solutions.
- Document data architecture, pipeline design, and modeling decisions to support team knowledge and long-term maintainability.
- Data Engineering Foundation: 5+ years building and maintaining production-grade pipelines using SQL, Python, and modern ELT tools such as dbt, Fivetran, or Airflow.
- Snowflake Proficiency: Deep hands-on experience with Snowflake, including performance optimization, dynamic tables, and familiarity with Cortex AI capabilities.
- Semantic Modeling Experience: Ability to design and maintain semantic or metrics layers that enforce consistent business logic across the organization.
- AI Infrastructure Awareness: Working knowledge of RAG architectures and the data patterns — chunking, embedding, retrieval — that support LLM-driven applications.
- Data Quality Ownership: Strong instinct for reliability — you instrument pipelines with observability and validation from the start.
- End-to-End Mindset: Comfortable owning work from scoping through production — you define the problem, build the solution, and stand behind the outcome.
- Collaborative Communicator: Able to work fluidly with engineers, analysts, and non-technical stakeholders, translating ambiguity into clear data solutions.
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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