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KIS Solutions

Data Engineer Intern

Posted One Month Ago
Remote
Hiring Remotely in USA
Internship
Remote
Hiring Remotely in USA
Internship
Participate in an internship focused on database modeling and optimization, data analysis and consolidation, data quality, and data support. Work alongside experienced professionals on real-world projects while developing technical and professional skills. The program requires prior knowledge of data concepts, spreadsheets, databases, programming logic, and analytical problem-solving.
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This is a remote position.

If you want to build a career in technology, tackle meaningful challenges, and be part of a company committed to developing talent, we invite you to apply for the KIS Internship Program. This track is designed for individuals who want to understand how data supports business decisions and enables organizations to operate more effectively. It is ideal for those who enjoy working with data, solving analytical problems, building reliable data solutions, and transforming information into valuable business insights.

What you'll do
As a Data Engineering Intern, you will have the opportunity to develop practical skills in:
  • Database modeling and optimization
  • Data analysis and consolidation
  • Data quality and data support
  • Throughout the program, you will work alongside experienced professionals, gain exposure to real-world projects, and strengthen both your technical and professional skills.


Requirements
  • Reside in Latin America.
  • Advanced English proficiency.
  • Be at least 16 years old.
  • Be available to start the internship program in September 2026.
  • Be available to dedicate 30–40 hours per week to the program.
  • Be interested in gaining professional experience through a practical internship opportunity (the program does not provide academic credits or university internship agreements).
  • Have prior knowledge of data concepts, spreadsheets, databases, programming logic, and analytical problem-solving.
  • Be currently pursuing or have completed studies in Information Technology, Computer Science, Software Engineering, Information Systems, Data Science, Engineering or related fields.


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