Senior Data Engineer - Snowflake & dbt Cloud

Are you looking for a forward focus environment where you are continually challenged, and the atmosphere is affirming? Do you want to be a part of a team where you are often out of your comfort zone, but you wake up excited to go to work each day? How about a place where people are growing because they desire change and growth is modeled and expected?

Premier Trailer Leasing is a'USA Today Top Workplace' and one of the largest trailer leasing and rental companies in the nation, specializing in long-term leasing and short-term rental services for over-the-road vans, flatbeds, refrigerated equipment and chassis with an inventory of 70,000 trailers and a growing network of locations across the United States. At Premier you will find an environment where you are seen, heard and valued.

Join us and experience what it means to live a culture of C.A.R.E!

Premier Trailer Leasing is building its next-generation Enterprise Data Platform to support its continued growth as part of a hybrid data modernization plan.

This is a hands-on engineering role for an experienced data engineer with strong Snowflake experience. You will help implement and operate a Snowflake environment, build production-grade data pipelines and models, and deliver governed data products supporting reporting, operational integrations, APIs, and future AI workloads.

We are looking for someone with strong data engineering fundamentals, meaningful production experience with Snowflake and dbt Cloud, and a willingness to take ownership of substantial engineering work while collaborating with Data Leadership on architecture and platform standards.

• Platform Engineering: Build and operate a modern data platform using Snowflake, dbt Cloud, managed ingestion and CDC tooling, appropriate custom integrations, and Git-based workflows.
• Engineering Practices: Work within and help improve repeatable practices for environments, Git workflows, modular development, testing, code review, CI/CD, deployment controls, rollback, documentation, monitoring, access, and production support.
• Data Architecture & Modeling: Build layered data models spanning raw ingestion, conformed enterprise models, and published marts or data products. Develop canonical models that standardize core business entities, definitions, relationships, and rules.
• Ingestion & CDC: Build and operate resilient batch, incremental, CDC, and near-real-time ingestion patterns for SQL Server, ERP, CRM, SaaS applications, REST APIs, files, and semi-structured data using managed ingestion platforms and custom integrations where appropriate.
• Legacy Decoupling: Work with Data Leadership and the SQL Server team to profile legacy sources, inventory dependencies, identify data quality risks, reconcile existing outputs, and migrate consumers from direct source-system access to governed data products.
• Quality, Reliability & Observability: Implement automated testing, reconciliation, freshness monitoring, schema-change controls, CDC-lag monitoring, alerting, failure handling, retry and replay patterns, runbooks, and production support practices.
• Security, Cost & Performance: Implement Snowflake roles, service accounts, access patterns, workload isolation, monitoring, and consumption controls that support least privilege, auditability, performance, and responsible cloud spend.
• Data Delivery: Publish governed data products for Power BI, SSRS, Excel, Hub Spot, Jira, internal and customer-facing APIs, custom applications, and a DBA-managed SQL Server serving layer for approved legacy and latency-sensitive consumers.
• Technical Ownership &
  
  Collaboration:
  
  Take ownership of assigned pipelines, models, integrations, and data products while collaborating with Data Leadership…