Senior Data Engineer

Smith System Driver Risk Management is dedicated to reducing collisions and protecting drivers through effective training and risk management solutions. The Senior Data Engineer will be responsible for transforming data into reliable insights, owning data architecture and modeling, and mentoring teammates while optimizing data pipelines for analytics and data science applications.

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

Requirements:

• 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
• Demonstrated ability to independently own complex technical work while collaborating effectively across functions
• Experience working in Agile development environments preferred
• 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