Ever.Ag

Data Engineer Intern

Ever.Ag

internship

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Job Level

Entry Level

Tech Stack

AWSAzureCloudETLGoogle Cloud PlatformMySQLPythonSQL

About the role

  • Assist in the design, development, and maintenance of data pipelines and ETL processes under supervision.
  • Work with team members to identify data requirements and help ensure the accuracy and timeliness of data for projects.
  • Support the maintenance of databases, focusing on performance and scalability.
  • Write and edit scripts to automate tasks and processes (Python preferred).
  • Participate in data quality checks and contribute to monitoring processes to ensure data integrity.
  • Help troubleshoot database and data-related issues, supporting the team in finding solutions.
  • Learn and stay current with database management trends and tools in ETL and data integration.
  • Collaborate with team members to deliver the best customer experience possible.
  • Perform other duties and projects as assigned.

Requirements

  • Currently pursuing a Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field.
  • Basic knowledge of SQL and relational databases (MySQL is a plus).
  • Experience with Python or similar scripting language through coursework or projects.
  • Interest in data integration, ETL processes, and data modeling.
  • Familiarity with cloud-based technologies (AWS, Azure, or Google Cloud Platform) is a plus.
  • Strong attention to detail, problem-solving skills, and a collaborative approach.
  • Excellent communication skills and the ability to work well in a team environment.
Benefits
  • This is a twelve (12) week internship program starting in May 2026. You must be enrolled in college during the internship with a graduation date after August 2026.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonSQLETL processesdata modelingdata pipelinesdatabase maintenancedata quality checksscripting languagesdata integrationperformance optimization
Soft skills
attention to detailproblem-solvingcollaborationcommunication