Senior Data Engineer at PrePass | AZ, US | Rezi

Senior Data Engineer at PrePass

Senior Data Engineer

PrePass · AZ, US

2 weeks ago

Senior Data Engineer

PrePass · AZ, US

17 days ago
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About the Role

PrePass is seeking a Senior Data Engineer to architect, build, and scale our core data platform. This role involves leading the design of high-throughput data pipelines and lakehouse architectures while mentoring engineers in modern software craftsmanship, treating data engineering with the rigor of software engineering using Test-Driven Development (TDD), extreme programming (XP) practices, and AI-augmented workflows.

Responsibilities

  • Design, build, and operate scalable ETL/ELT pipelines on Azure that ingest, transform, and integrate data from multiple sources using advanced SQL, Apache Spark, and Lakehouse technologies.
  • 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.
  • 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.
  • Leverage AI-assisted development tools to accelerate code generation, automate unit and data-quality test creation, streamline legacy refactoring, and enhance pipeline anomaly detection.
  • 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.
  • Define and evolve team-wide data engineering standards, architectural documentation, and continuous improvement initiatives within an Agile environment.

Requirements

  • Proven track record of designing, building, and operating distributed data pipelines and cloud data platforms at scale.
  • 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.
  • Practical experience integrating AI coding assistants and LLM-based tooling into daily engineering workflows to accelerate delivery, improve test coverage, and automate documentation.
  • Strong experience operating high-availability systems in production with clear uptime, reliability, and observability expectations.
  • Experience driving engineering standards, architectural reviews, documentation, and mentorship within an Agile team.
  • Experience in Data Science or Machine Learning, particularly in MLOps, model deployment, Feature Store management, or feature engineering on Databricks.
  • Experience with Infrastructure as Code (e.g., Terraform / Bicep) for managing Databricks workspaces and cloud resources.
  • Familiarity of event driven architecture – queues, batches, and pub/sub models.
  • Production experience with the Databricks platform (Delta Lake, PySpark/Spark SQL, Databricks Workflows, and Unity Catalog).
  • Background in high-volume IoT, telematics, or transportation industry data.

Skills

  • Advanced SQL
  • Apache Spark
  • Databricks
  • Delta Lake
  • Test-Driven Development (TDD)
  • Extreme Programming (XP)
  • Pair Programming
  • Continuous Refactoring
  • Automated CI/CD pipelines
  • AI-assisted development tools
  • LLM-based tooling
  • Production Operations
  • Observability
  • Agile
  • Data Science
  • Machine Learning
  • MLOps
  • Model Deployment
  • Feature Store Management
  • Feature Engineering
  • Infrastructure as Code (IaC)
  • Terraform
  • Bicep
  • Event Driven Architecture
  • Queues
  • Batches
  • Pub/Sub Models
  • PySpark
  • Spark SQL
  • Databricks Workflows
  • Unity Catalog
  • IoT
  • Telematics
  • Transportation Industry Data

Location

  • North America

Work Type

  • Full-time

Experience Level

  • Senior-Level

Benefits

  • 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.

About the Company

  • 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.
  • We make bold decisions and build systems that support not only fleets but the broader economy.
  • 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.
  • At PrePass, our mission drives us.
  • We invest in relationships.
  • We challenge ourselves to innovate and improve.
  • We win together.
  • We live our Core Values.