Data Engineer Intern

About the role

Join our data engineering team as an intern and work side‑by‑side with experienced engineers to build, optimize, and maintain data pipelines that drive key business decisions. This hands‑on, mentorship‑driven position will help you develop practical skills in data engineering, software development, and modern data platforms.

Key responsibilities

• Design, develop, and maintain ETL/ELT pipelines for efficient data collection and transformation.
• Write clean, reusable code in Python and SQL.
• Work with relational and non‑relational databases to store and retrieve data.
• Support data modeling initiatives to improve reporting and analytics.
• Monitor, troubleshoot, and optimize data workflows.
• Collaborate with data scientists and software engineers to prepare datasets for machine‑learning projects.
• Use Git for version control and participate in code reviews.
• Follow engineering best practices, testing, and documentation standards.

Required profile

• Strong foundation in computer‑science fundamentals such as data structures, algorithms, and problem‑solving.
• Working knowledge of Python and SQL.
• Understanding of relational database concepts and basic data modeling.
• Familiarity with ETL processes and data transformation.
• Basic grasp of software‑engineering principles and object‑oriented programming.

Required skills

• Python
• SQL
• Git
• ETL/ELT pipeline development
• Data modeling
• Relational databases (e.g., PostgreSQL)
• Non‑relational databases (e.g., MongoDB, Cassandra)
• Object‑oriented programming
• Data structures and algorithms

What we offer

• 1‑month fully onsite internship with a dedicated mentor.
• Hands‑on experience with large‑scale data systems.
• Exposure to modern data‑engineering tools and best practices.
• Collaboration with data‑science, engineering, and product teams.
• Certificate of completion and potential pathway to a full‑time role.