Data Engineer II

Smith System exists to reduce collisions, protect drivers, and save lives. Crashes aren't accidents - they're predictable and preventable. For more than 70 years, Smith System has helped organizations build safer drivers through proven behavior-based training and modern driver risk management solutions.

Our technology and analytics teams turn complex fleet, telematics, and operational data into trusted insights that help customers make better decisions and improve real-world safety outcomes.

A Data Engineer II is responsible for transforming data through performant, accurate, and reliable pipelines. This role contributes to data modeling, performance tuning and optimization, and ensures that data is explainable, meaningful, and trustworthy for client analytics and data science applications.

We are looking for a growing data professional who can own well-scoped work from start to finish: someone building deep judgment about data modeling and engineering best practices, who is learning how to optimize pipelines and SQL and verify that the results are correct. This person is curious, collaborative, and a clear communicator, able to take ownership of a problem and see it through with support from the team.

The Data Engineer II will work closely with senior engineers and cross-functional partners while continuing to grow technical depth, contribute to shared engineering standards, and help strengthen Smith System's data platform.

• Deliver well-scoped data projects from development through production
• Build, maintain, and optimize data pipelines and models across multiple services
• Write clean, testable, maintainable code that meets our engineering standards
• Troubleshoot and resolve issues across production pipelines and integrated services
• Contribute to internal tooling that supports our data platform
• Participate in code reviews, and contribute to technical documentation
• Deploy and support changes through CI/CD pipelines
• Share what you learn with teammates, and grow through mentorship from senior engineers
• Take part in architectural discussions and technical decisions, and help the team stay current with industry tools and practices
• Partner with Product, Data Science, Analytics, and Customer Experience teams to translate business and customer needs into practical data solutions.
• Contribute to monitoring, testing, and data quality practices that improve platform reliability and increase trust in downstream reporting and analytics.

• 2+ years of professional data engineering experience
• Working knowledge of data modeling, architecture, and engineering best practices
• Solid SQL and Python skills, with a growing sense of how to write, optimize, and validate your work
• Hands-on dbt experience building and maintaining models
• Experience improving pipeline performance and checking that data is correct and trustworthy
• Exposure to cloud infrastructure (AWS preferred)
• Experience with Git and collaborative development workflows
  
  Curiosity and rigor in exploring data and explaining outliers
• Clear written and verbal communication, with both internal teammates and clients
• Experience working in Agile development environments preferred
• Demonstrated ability to independently own well-scoped technical work while collaborating effectively across functions.

• Fleet, logistics, or IoT domain experience
• Experience with time series or sensor data
• Experience setting patterns or standards on a dbt project
• Strong analytics and data visualization instincts, and comfort with the language of mathematics
• A degree in a related field (Software Engineering, Mathematics, Statistics, Data Science, or another STEM field)
• Experience supporting data products or analytics capabilities within a B2B SaaS environment.

• Reliable, well-maintained data pipelines and models that consistently deliver accurate, trusted data.
• Measurable improvements in pipeline performance, testing, observability, and documentation as technical capability grows.
• Consistent use of engineering standards and reusable patterns that help the team deliver work efficiently.
• Strong partnership with senior engineers and business teams, with requirements translated into practical data solutions.
• Continued growth in technical judgment, ownership, code quality, and contribution to team knowledge sharing.

• Direct impact on driver safety through the data infrastructure that powers fleet insights and customer decision-making.
• Opportunity to grow alongside experienced data professionals while contributing to the evolution of a growing data platform.
• Collaborative, mission-driven environment focused on solving complex real-world problems.
• Hybrid, MN-based position with competitive compensation and benefits.

Hybrid position based in St. Louis Park, Minnesota. The anticipated base salary range is $110,000-$120,000 annually, plus bonus eligibility. Final compensation will be based on relevant experience, skills, and…