Data Engineer

About PrePass
PrePass 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.

About The Role
We're looking for a skilled Data Engineer to join our team in the transportation sector. In this role, you'll work with modern cloud technologies to build and maintain data pipelines that support analytics, reporting, and operational insights. You'll be part of a collaborative team focused on delivering reliable, scalable data solutions that help drive smarter decision-making across the organization.

This is a great opportunity for someone with solid experience in backend data systems who enjoys solving real-world problems and working with evolving data platforms. This is a hybrid position located at our office in downtown Phoenix.

Key Responsibilities

• Design, develop, and maintain cloud-native data pipelines leveraging Databricks, Microsoft Azure Data Factory, and Microsoft Fabric to support robust data integration and analytics solutions
• Implement incremental and real-time data ingestion strategies using medallion architecture for data lake storage
• Write and optimize complex SQL queries to transform, integrate, and analyze data across enterprise systems
• Support and troubleshoot legacy data platforms built on SSIS and SQL Server, ensuring high availability and performance of critical data processes
• Develop features with a focus on scalability, maintainability, and testability
• Troubleshoot and resolve data integration and quality issues, ensuring reliable data delivery
• Participate in proof-of-concept projects, providing technical analysis and recommendations

Requirements
*Required *

• 5+ years of experience designing and building data solutions
• Strong proficiency in SQL and Python for data analytics and transformation
• Experience with ETL pipeline development and automation
• Solid understanding of Data Lake architecture and design principles
• Excellent collaboration skills and the ability to adapt in a dynamic environment

Preferred

• Experience with Azure Cloud services and cloud-based ETL tools
• Familiarity with data visualization tools such as Power BI or Tableau
• Understanding of event-driven architectures, including queues, batch processing, and pub/sub models
• Exposure to NoSQL databases like MongoDB or Cassandra

Bonus Points For

• Experience in Data Science or Machine Learning, particularly in model deployment or feature engineering

Benefits
*How We Will Take Care of You *

• Robust benefit package that includes medical, dental, and vision that start on date of hire
• Paid Time Off, to include vacation, sick, holidays, and floating holidays
• 401(k) plan with employer match
• Company-funded "lifestyle