Join a leading technology company in the transportation and logistics industry that develops innovative solutions helping commercial fleets operate more efficiently, safely, and compliantly across North America. This fully remote opportunity is ideal for a data engineering professional who thrives on building scalable data platforms and end-to-end data pipelines that directly impact business operations and customer-facing products.
We are seeking a Senior Data Engineer with a strong software engineering foundation and proven experience designing, building, and deploying modern data solutions. The ideal candidate will have expertise in Databricks, Python, SQL, cloud technologies, and CI/CD best practices, along with exposure to APIs and emerging AI-driven solutions.
Required Skills & Experience 6-10 years of experience in Data Engineering, Software Engineering, or a related field
Strong experience building end-to-end data pipelines
Expertise with Databricks
Advanced SQL skills
Strong Python development experience
Desired Skills & Experience Experience with AI/ML technologies and data-driven applications
Experience supporting enterprise-scale analytics and data platforms
Knowledge of data governance, data quality, and data management best practices
Experience working in Agile development environments
Prior experience within transportation, logistics, fleet management, or related industries is a plus
What You Will Be Doing
Tech Breakdown Databricks
Python
SQL
Cloud Platforms (AWS, Azure, or Google Cloud Platform)
CI/CD Tools
Daily Responsibilities Design, develop, and maintain scalable data pipelines and workflows
Build and optimize data solutions using Databricks, Python, and SQL
Develop cloud-native data infrastructure and integrations
Implement CI/CD processes to support automated deployment and testing
Integrate internal and external data sources through APIs
The Offer Comprehensive Medical, Dental, and Vision Coverage
Retirement Savings Plan
Paid Time Off and Company Holidays
Professional Development Opportunities
Remote Work Environment