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 design, build, and maintain data pipelines that support analytics, reporting, and operational insights. You’ll be part of a highly collaborative product engineering team focused on delivering reliable, scalable data solutions that enable smarter decision-making across the organization. This is a hybrid position based in our downtown Phoenix office.

This role operates within an Agile environment using Scrum, with strong XP engineering practices. The team emphasizes small, frequent deliveries, continuous improvement, Test Driven Development, and shared ownership. You will collaborate daily with product managers, QA, and fellow engineers through standups, backlog refinement, sprint planning, reviews, and retrospectives. Strong verbal and written communication skills are essential, as active participation in design discussions, pairing, and problem-solving is a core part of how the team operates.

This is a great opportunity for someone with solid experience in backend data systems who enjoys solving real-world problems, working in fast feedback loops, and contributing to continuously evolving data platforms.

Key Responsibilities

Data Platform & Pipeline Development

• Design, develop, and maintain cloud-native data pipelines using Databricks, Microsoft Azure Data Factory, and Microsoft Fabric to support data integration and analytics solutions.
• Implement incremental and real-time data ingestion strategies using a medallion architecture for data lake storage.
• Write, optimize, and maintain complex SQL queries to transform, integrate, and analyze data across enterprise systems.
• Develop solutions with a focus on scalability, maintainability, testability, and long-term operability within a continuous delivery mindset.

Data Operations & Reliability

• Support and troubleshoot legacy data platforms built on SSIS and SQL Server, ensuring high availability and performance of critical data processes.
• Identify, troubleshoot, and resolve data integration and data quality issues to ensure reliable production data delivery.
• Contribute to observability, automated validation, and CI/CD pipelines to support fast feedback and safe releases.

Agile Collaboration & Engineering Practices

• Collaborate daily with product owners, QA, and engineers through Scrum ceremonies including standups, backlog refinement, sprint planning, sprint reviews, and retrospectives.
• Participate in proof-of-concept efforts, technical spikes, and design discussions, providing thoughtful technical analysis and pragmatic recommendations.
• Apply XP engineering practices such as pairing, incremental delivery, continuous refactoring, and shared code ownership to maintain high-quality, evolvable systems.
• Clearly communicate technical concepts, risks, tradeoffs, and progress to both technical and non-technical stakeholders.

Requirements

Required Qualifications

• 5+ years of experience designing and building data solutions.
• Strong proficiency in SQL and Python for data analytics and transformation.
• Hands-on experience with ETL pipeline development and automation.
• Solid understanding of data lake architecture and design principles.
• Experience working on Agile teams (Scrum, XP, or similar), with regular participation in standups, sprint planning, refinement, reviews, and retrospectives.
• Comfort operating in highly collaborative environments with frequent verbal and written communication across engineering, product, and QA teams.
• Ability to break work into small, iterative deliverables and adapt quickly based on feedback and changing priorities.
• Strong ownership mindset, including accountability for the quality, reliability, and maintainability of delivered solutions.

Preferred Qualifications

• 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 such as MongoDB or Cassandra.
• Experience working on product engineering teams delivering customer-facing or operationally critical systems.
• Familiarity with modern engineering practices inspired by XP, including automated testing, pairing, refactoring, and continuous integration.
• Experience operating systems in production environments with uptime, reliability, and observability expectations.

Bonus Points For

• Experience in Data Science or Machine Learning, particularly in model deployment or feature engineering.
• Experience contributing to engineering standards, documentation, or continuous improvement initiatives within an Agile team.

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 account” upon date of hire for you to apply toward your physical and mental well-being (i.e., ski passes, retreats, gym memberships).
• Tuition Reimbursement Program.
• Voluntary benefits, to include but not limited to Legal and Pet Discounts.
• Employee Assistance Program (available at no cost to you).
• Company-sponsored and funded “Culture Team” that focuses on the Physical, Mental, and Professional well-being of employees.
• Community Give-Back initiatives.
• Culture that focuses on employee development initiatives.

Join Us

At PrePass, our mission drives us.

We invest in relationships. We challenge ourselves to innovate and improve. We win together. Simply put, we live our Core Values.

Ready to help move the transportation industry forward? Join us and let’s drive progress—together.