Data Engineer II

Smith System exists to reduce collisions, protect drivers, and save lives through behavior-based training and modern driver risk management solutions. The Data Engineer II will build, maintain, and optimize reliable data pipelines and models, troubleshoot production issues, and improve data quality and platform performance. The role partners with engineering and cross-functional teams to deliver trusted data solutions for analytics and data science applications.

Responsibilities

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

Preferred

• Exposure to cloud infrastructure (AWS preferred)
• Experience working in Agile development environments preferred
• 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

Cloud Infrastructure

AWS

Agile Development

Fleet Domain Experience

Logistics Domain Experience

IoT Domain Experience

Time Series Data

Sensor Data

Mathematics

Statistics

Data Science

STEM Education

Data Product Support

Analytics Capabilities

B2B SaaS Experience

Analytical Thinking

Data Visualization

Mathematical Comfort

Standard Setting

Benefits

Bonus eligibility

Hybrid, MN-based position

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

Company

Crash-avoidance driver training and driver risk management

Arlington, Texas, USA

https://www.drivedifferent.com/

Founded in 1952

201-500 employees

Qualifications

• 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
• 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 well-scoped technical work while collaborating effectively across functions
• Exposure to cloud infrastructure (AWS preferred)
• Experience working in Agile development environments preferred
• 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

Required skills

Data Engineering, Data Modeling, SQL, Python, dbt, Data Pipeline Optimization, AWS, Git, Data Quality, Fleet, Logistics, or IoT Domain Experience, Time Series or Sensor Data

Preferred skills

• Exposure to cloud infrastructure (AWS preferred), • Fleet, logistics, or IoT domain experience, • Experience with time series or sensor data, • Experience setting patterns or standards on a dbt project

Experience

2+ years