Data Engineer

About PrePass

PrePass® is North America's most utilized and technologically advanced weigh station bypass and toll payment platform. Proven PrePass technologies enable safe, qualified motor carriers to bypass inspection facilities at highway speeds, saving them time, fuel, and money while reducing emissions. As the only provider to offer bypass and tolling solutions, PrePass technology allows fleets to regain control of toll costs, eliminate toll violations, and automatically resolve max toll disputes. PrePass is the only preclearance system developed, owned, and operated in the United States of America as well as the American Trucking Associations' only Endorsed Corporate Partner. That's why more than 105,000 fleets subscribe over 750,000 commercial vehicles to PrePass services.

Position Description

Embark on a transformative career journey as a Data Engineer in the thriving transportation sector. This role offers a unique chance to immerse yourself in the world of cutting-edge cloud solutions, pivotal for data processing and analytics. We are looking for a visionary developer with a solid foundation in programming back-end data systems and a zest for mastering the intricacies of modern data ecosystems through state-of-the-art technology. If you're a forward-thinker, eager to explore and shape the future of data engineering, we invite you to join us on this remarkable endeavor. This is a hybrid position based in Phoenix.

Your Key Responsibilities

• Develop and manage cloud-native data pipelines using Databricks and Microsoft Azure services
• Contribute to developing incremental and real-time data ingestion to data lake storage with a medallion architecture
• Formulate complex queries for transforming and collating data across multiple sources
• Develop features with scalability, maintainability, and testability in mind
• Troubleshoot data integration and data quality issues, diagnose failures, and implement optimal solutions
• Participate in proof-of-concept exercises and prototyping. Provide analysis and recommendations based on your findings
  
  
  

Requirements

Qualifications

Required

• Bachelor's degree in computer science or equivalent experience
• Minimum 5 years of experience in designing and building data solutions
• Advanced SQL skills
• Coding experience using Python for the purpose of data analytics
• Experience creating and maintaining ETL pipelines and automation
• Understanding of Data Lake architecture and design principles
• Exceptional collaborative abilities, with a talent for navigating fluid environments and embracing change
• A commitment to staying abreast of emerging technologies and industry best-practices to drive continuous improvement in development methodologies
  
  
  

Preferred

• Proficiency in Azure Cloud and ETL cloud tooling
• Proficiency with reporting and data visualization tools, specifically PowerBI
• Experience coding with an OOP language, such as .Net
• Knowledge of event driven architecture - queues, batches, and pub/sub models
• Familiarity with DevOps CI/CD implementation methodologies
• Familiarity with No-SQL databases
  
  
  

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
• Employee Assistance Program (available at no cost to you)
• Voluntary benefits, to include but not limited to Legal and Pet Discounts
• Company-sponsored and funded "Culture Team" that focuses on the Physical, Mental, Professional well-being of employees
• Community Give-Back initiatives
• Culture that focuses on Employee Development initiatives