Want to get hired at Ever.Ag?
Data Engineer Intern
Ever.Ag
Original Job Summary
Data Engineer Intern - Position Summary
Ever.Ag is seeking a Data Engineer Intern eager to gain hands-on experience in database management, data pipeline development, and ETL processes. This 12-week internship starting in May 2026 is designed for current college students with a graduation date after August 2026.
Key Responsibilities
- Assist in designing, developing, and maintaining data pipelines and ETL processes.
- Support database maintenance with a focus on performance and scalability.
- Write and edit scripts (Python preferred) to automate tasks.
- Participate in data quality checks and troubleshooting data-related issues.
- Collaborate with team members to ensure accurate and timely data delivery.
Qualifications
Currently pursuing a Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field. Basic knowledge of SQL and relational databases (MySQL is a plus), experience with Python or similar scripting languages, and an interest in data integration and ETL processes are required. Familiarity with cloud-based technologies (AWS, Azure, Google Cloud) is a plus.
Competencies for Success
- Strong communication and team collaboration skills.
- Analytical and detail-oriented approach with emphasis on accuracy.
- Problem-solving mindset with proactive action orientation.
- Integrity and quality-focus in executing tasks.
About Ever.Ag
Ever.Ag offers innovative AgTech solutions to empower agriculture, food, and beverage supply chains. With decades of experience and industry-leading innovations, Ever.Ag supports companies involved in dairy, livestock, crops, and agribusiness with advanced risk management and market intelligence.
Key skills/competency
- Data Pipelines
- ETL
- Python
- SQL
- Database Management
- Data Integration
- Cloud Technologies
- Data Quality
- Automation
- Problem Solving
How to Get Hired at Ever.Ag
🎯 Tips for Getting Hired
- Research Ever.Ag: Review their AgTech solutions and company culture.
- Customize your resume: Highlight Python, SQL, and ETL experience.
- Emphasize projects: Include coursework and engineering tasks.
- Prepare for interviews: Study data integration and pipeline concepts.