Summer Data Engineer Internship

Department: Information Technology

Employment Type: Internship

Location: Houston, TX

Reporting To: Brian Newman

Compensation: $15.00 - $17.00 / hour

Description

Join Our Team! 
Are you passionate about data engineering and looking to gain hands-on experience in a dynamic IT environment? Cotton Holdings is offering a Summer 2025 Data Engineer Internship that will give you the chance to collaborate with experienced professionals, work with cutting-edge tools, and contribute to impactful data projects. If you’re ready to build your skills and make a real difference, we want you on our team!   Who We Are 
Cotton Holdings, Inc. is a global leader providing comprehensive solutions for property restoration, recovery, construction, and more. Our IT department plays a critical role in optimizing data-driven decision-making, ensuring efficiency across our operations. 

What You’ll Do

As a Data Engineer Intern, you will assist in the development and optimization of data pipelines, contribute to data modeling and transformation, and support the integration of various data sources. You’ll work with modern data engineering tools and collaborate with cross-functional teams to solve real-world data challenges. Here’s a snapshot of your responsibilities: 

• Data Pipeline Development: Assist in designing, developing, and maintaining data pipelines and workflows using Python and Prefect. 
• Data Transformation & Modeling: Work with DBT (Data Build Tool) to transform and model data for business intelligence and analytics. 
• Data Storage Solutions: Implement and optimize data storage solutions using Databricks and Delta Tables. 
• Data Integration: Support the integration of various data sources, ensuring data quality, consistency, and security.
• Performance Tuning: Conduct performance tuning and troubleshooting of data workflows to improve efficiency.
• Cross-Functional Collaboration: Work with cross-functional teams to understand data requirements and deliver actionable insights.
• Documentation: Contribute to documenting processes, workflows, and solutions for team knowledge sharing. 

What You Bring to the Table

•  Education: Currently pursuing a degree in Computer Science, Data Engineering, Data Science, or a related field. 
• Experience: Familiarity with Python for data processing and analysis, and exposure to or experience with tools such as DBT, Prefect, Databricks, or Delta Tables. Skills: Knowledge of SQL, data modeling, and database design principles. Strong problem-solving skills and attention to detail. 
• Attributes: Excellent communication skills, the ability to work collaboratively in a team environment, and a passion for tackling data challenges and learning new technologies. 

 
 

Why You'll Love It Here

• Impactful Work: Gain hands-on experience in data engineering, contributing to real projects that support business operations. 
• Collaborative Culture: Work alongside experienced data engineers and IT professionals in a supportive environment. 
• Career Growth: Expand your technical and analytical skills while learning from industry experts.
• Hands-on Experience: Gain experience with cutting-edge data engineering tools and methodologies. 
• Impactful Projects: Contribute to real-world projects that directly impact Cotton Holdings' business operations. 
• Mentorship & Guidance: Receive mentorship from experienced professionals in the field. 
• Networking Opportunities: Build connections within a global organization. 
• Future Opportunities: Gain insight into potential full-time opportunities within Cotton Holdings after the internship. 

Our Values 
At Cotton, we value Action Orientation, Collaboration, and Accountability. We’re looking for someone who embraces challenges, communicates effectively, and thrives in a dynamic environment. The ideal candidate is eager to learn, adaptable, and aligns with our commitment to excellence.   Ready to Apply?
Make an impact and grow with us! Apply today at www.work4cotton.com to join a team that’s advancing the property restoration industry with innovative data-driven solutions.   Disclaimer: 
This Job Description indicate