Data Engineer II: Build Trusted Data Pipelines

Smith System Driver Risk Management; Saint Louis Park (MN); Hybrid; USD 110,000 - 120,000; Full time

Benefits offered by this job

Hybrid work in MN

Competitive compensation

Job summary

Smith System Driver Risk Management in Minnesota is seeking a Data Engineer II to transform data through scalable pipelines, contribute to data modeling, and ensure that data used for client analytics is accurate, explainable, and trustworthy.

The role works closely with senior engineers and cross-functional partners to own well-scoped work from start to finish, grow technical depth, and help strengthen Smith System's data platform in a hybrid, MN-based environment.

Qualifications

• 2+ years of professional data engineering experience.
• Strong SQL and Python skills; ability to write, optimize, and validate code.
• Hands-on dbt experience building and maintaining models.
• Experience with cloud infrastructure (AWS preferred).
• Experience with Git and collaborative development workflows.
• Clear written and verbal communication; able to work across functions.
• Experience working in Agile development environments.

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.

Skills

SQL

Python

Data modeling

Agile

Communication

AWS

Git

Tools

dbt

Job description

Smith System Driver Risk Management in Minnesota is seeking a Data Engineer II to transform data through scalable pipelines, contribute to data modeling, and ensure that data used for client analytics is accurate, explainable, and trustworthy.

The role works closely with senior engineers and cross-functional partners to own well-scoped work from start to finish, grow technical depth, and help strengthen Smith System's data platform in a hybrid, MN-based environment.