Senior Data Engineer

About the Company

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.

About the Role

A Senior Data Engineer is responsible for transforming data through performant, accurate, and reliable pipelines. This role owns data architecture and 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 an experienced data professional who can own this work end to end: someone with deep judgment about data modeling and engineering best practices, who knows 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 turn it into a reliable solution.

The Senior Data Engineer will also help shape engineering standards, mentor teammates, and influence the evolution of Smith System's data platform as our products and customer needs continue to grow.

Responsibilities

• Lead, scope, and deliver data projects from concept to production
• Design, build, maintain, and optimize data pipelines and models across multiple services
• Write clean, testable, maintainable code that meets our engineering standards, and help define those standards
• Troubleshoot and resolve issues across production pipelines and integrated services
• Build internal tooling to support our data platform
• Participate in and lead code reviews, and contribute to technical documentation
• Deploy and support changes through CI/CD pipelines
• Mentor teammates on subject matter and technical best practices
• Contribute to 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 scalable data solutions.
• Establish monitoring, testing, and data quality practices that improve platform reliability and increase trust in downstream reporting and analytics.

Qualifications

• 5+ years of professional data engineering experience
• Deep knowledge of data modeling, architecture, and engineering best practices
• Strong SQL and Python skills, with a real sense of how to write, optimize, and validate your work
• Strong dbt experience, including structuring projects and setting patterns for a team
• A track record of tuning pipeline performance and ensuring data is correct and trustworthy
• Comfort with 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 complex technical work while collaborating effectively across functions.

Nice to Have

• Fleet, logistics, or IoT domain experience
• Experience with time series or sensor data
• Experience mentoring other engineers
• Strong analytics and data visualization instincts, and comfort with the language of mathematics
• A master's 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.

What Success Looks Like

• Reliable, scalable data pipelines and models that consistently deliver accurate, trusted data.
• Improved pipeline performance, observability, testing, and documentation across the data platform.
• Clear engineering standards and reusable patterns that help the team deliver work more efficiently.
• Strong partnership across technical and business teams, with complex requirements translated into practical data solutions.
• Continued growth of team capability through mentoring, code review, and knowledge sharing.

Why Join Smith System

• Direct impact on driver safety through the data infrastructure that powers fleet insights and customer decision-making.
• Opportunity to influence the architecture, standards, and future direction of a growing data platform.
• Collaborative, mission-driven environment focused on solving complex real-world problems.
• Remote position with competitive compensation and benefits.

Pay Range and Compensation Package

Remote position with competitive compensation and benefits. Final compensation will be based on relevant experience, skills, location, and internal equity.

Equal Opportunity Statement

Smith System is an Equal Opportunity Employer committed to creating an inclusive workplace. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by applicable law.