Data Engineer Internship

Role Overview

We are looking for a detail-oriented Data Engineer Intern to support the design, development, and maintenance of data pipelines and data infrastructure. This internship provides hands-on experience working with large datasets, data workflows, and modern data engineering tools in a real-world environment.

This role is ideal for students or recent graduates interested in data engineering, backend systems, and data platform development.

Internship Details

Duration: 3 months, with potential extension based on performance

Work Mode: Remote

Stipend: Unpaid initially; performance-based evaluation in the first quarter may lead to a paid internship extension or full-time opportunity

Working Hours: 8 hours per day

Key Responsibilities

Assist in building and maintaining data pipelines and ETL/ELT workflows

Support data ingestion from multiple sources (APIs, databases, files)

Help design and optimize data models and schemas

Perform data cleaning, validation, and quality checks

Work with structured and semi-structured data

Support data warehousing and analytics use cases

Document data processes, pipelines, and workflows

Collaborate with data scientists, analysts, and engineers

Required Skills & Qualifications

Currently pursuing or recently completed a degree in Computer Science, Data Engineering, Information Systems, or related field

Proficiency in Python or SQL

Basic understanding of databases

Knowledge of data structures and algorithms

Strong analytical and problem-solving skills

Preferred / Technical Skills