Senior Data Engineer

Pre Pass® is North America's most trusted weigh station bypass and toll management platform. We’re transforming how the transportation industry operates—creating solutions that keep trucks moving safely, efficiently, and compliantly. This means making bold decisions and building systems that support not only fleets but the broader economy. It all starts with enabling commercial vehicles to keep rolling with seamless toll management, weigh station bypass, and safety solutions.

It’s what we do best, and we do it to meet the demands of the road every day.

That’s why people join us: our solutions are implemented in real-time, on highways and interstates across the nation, helping fleets go farther, faster. This work challenges and rewards, presenting complex problems that need ambitious answers. We hire bold thinkers with a heart for impact, a passion for progress, and the optimism to shape the future of transportation.

Pre Pass is seeking a Senior Data Engineer to architect, build, and scale our core data platform. In this role, you will lead the design of high-throughput data pipelines and lakehouse architectures while mentoring fellow engineers in modern software craftsmanship. We are looking for a technical leader who treats data engineering with the rigor of software engineering—relying on strict Test-Driven Development (TDD), extreme programming (XP) practices, and AI-augmented workflows to deliver reliable, observable, and mission-critical data systems in Databricks.

• Build & Scale Production ETL: Design, build, and operate scalable ETL/ELT pipelines on Azure that ingest, transform, and integrate data from multiple sources. Use advanced SQL, Apache Spark, and Lakehouse technologies such as Databricks and Delta Lake to support analytics, reporting, and real-time operational workloads.
• Modernize Legacy Integrations: Partner with the team to define and execute a strategy for re-architecting legacy SQL Server Integration Services (SSIS) workloads into modern, cloud-native pipelines. Lead proof-of-concept and prototyping work and turn the findings into clear recommendations.
• Champion TDD & XP Practices: Lead by example in writing clean, modular, and maintainable code using strict Test-Driven Development (TDD), pair programming, continuous refactoring, and automated CI/CD pipelines.
• Drive AI-Augmented Engineering: Leverage AI-assisted development tools to accelerate code generation, automate unit and data-quality test creation, streamline legacy refactoring, and enhance pipeline anomaly detection.
• Own Production Reliability & Data Quality: Operate and monitor mission-critical data systems against strict SLAs for data freshness, uptime, and reliability. Diagnose and resolve integration and data-quality failures, build end-to-end traceability and observability, and tune pipeline and compute performance for cost and scalability.
• Elevate Engineering Standards: Define and evolve team-wide data engineering standards, architectural documentation, and continuous improvement initiatives within an Agile environment.

• Senior-Level Data Engineering
  
  Experience:
  
  Proven track record of designing, building, and operating distributed data pipelines and cloud data platforms at scale.
• Mastery of Test-Driven Development (TDD): Demonstrated hands-on expertise in TDD for data pipelines—writing unit, integration, and data-contract tests prior to implementation—alongside XP practices such as pairing, refactoring, and continuous integration.
• AI Augmentation Proficiency: Practical experience integrating AI coding assistants and LLM-based tooling into daily engineering workflows to accelerate delivery, improve test coverage, and automate documentation.
• Production…