Data Engineering Intern- Summer 2027

Ragle Inc
North Richland Hills, Texas, United StatesPosted Sep 1, 2026
Data Science / MLSummer 2027

About the role

Data Engineering Intern – Summer 2027 Location: North Richland Hills, TX Pay: $27.50/hour Schedule: 40 hours/week | 10-Week Summer Internship Housing: Provided for eligible interns About Ragle Since 1993, Ragle Inc. has built infrastructure across Texas and beyond, specializing in highway, bridge, excavation, grading, and other heavy civil construction. We're looking for a Data Engineering Intern to join our team for a 10-week summer internship. You'll develop software, analyze data, and help automate workflows that improve efficiency for the data team and support real construction operations while learning from experienced professionals.

What You'll Do

Develop software and analyze data to improve efficiency for the data team Use Python, Node.js, SQL, and Azure Container Apps Jobs to automate workflows and streamline data processes Help build, test, and support ETL/ELT pipelines for operational, fleet, toll, telematics, and compliance data Contribute to Power BI dashboards and datasets that track equipment activity, geofence events, and business performance Support workflow automation using tools such as Azure Functions, Power Automate, and Azure Event Grid Assist with data integrations involving systems such as Samsara, Gauge, and NTTA Participate in Git-based development, documentation, testing, code reviews, and CI/CD practices Troubleshoot data quality, refresh, and performance issues with guidance from the data engineering team What We're Looking For Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, Information Systems, Software Engineering, Analytics, Engineering, or a related field Basic experience with Python, JavaScript or Node.js, SQL, databases, APIs, Power BI, or cloud technologies through coursework, projects, or previous experience Basic understanding of programming, relational data, and software development concepts Strong analytical and problem-solving skills Detail-oriented, curious, and willing

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