Data Engineering Intern

About the Role

We are looking for a motivated and curious Data Engineering Intern to join our growing engineering team. This opportunity is ideal for Bachelor’s or Master’s students and recent graduates with 0–3 years of experience who are excited to build real-world data solutions and grow their careers in data engineering.

As a Data Engineering Intern, you’ll gain hands-on experience building and improving data pipelines, ETL/ELT workflows, databases, and cloud-based data solutions. You’ll work with modern data technologies, collaborate directly with our engineering team, and contribute to projects that have a meaningful impact on our product and business.

We’re looking for someone with a strong foundation in Python and SQL, a genuine interest in data engineering, and a willingness to learn. Experience from academic projects, research, internships, or personal projects is welcome—we value strong fundamentals, curiosity, and problem-solving ability over years of professional experience.

If you’re looking for an opportunity where you can learn by building, take ownership of real projects, and develop practical data engineering skills, we’d love to hear from you.

Responsibilities

• Build, test, and maintain ETL/ELT data pipelines under the guidance of the engineering team.
• Write clean and efficient Python and SQL for data processing, transformation, and automation.
• Work with structured and semi-structured data from APIs, databases, files, and other data sources.
• Assist in designing and maintaining data models, databases, and data warehouse solutions.
• Implement data validation and quality checks and help troubleshoot data-related issues.
• Automate data ingestion, transformation, and recurring data workflows.
• Gain hands-on experience with cloud-based data platforms and infrastructure.
• Help monitor and improve the reliability, scalability, and performance of data pipelines.
• Participate in code reviews, testing, debugging, and Git-based development workflows.
• Collaborate with engineering, analytics, and other team members to understand data requirements and deliver solutions.
• Create and maintain clear documentation for pipelines, datasets, and technical processes.

Requirements

• Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Data Science, Data Engineering, Information Systems, Software Engineering, or a related technical field.
• 0–3 years of relevant experience, including internships, academic projects, research, or personal projects.
• Strong fundamentals in Python and SQL.
• Understanding of relational databases, data structures, and basic data modeling concepts.
• Familiarity with ETL/ELT, data pipelines, and data processing concepts.
• Familiarity with Git or other version-control tools.
• Strong analytical, debugging, and problem-solving skills.
• Ability to communicate clearly, collaborate with a team, and take feedback.
• Curiosity and willingness to learn new technologies and engineering practices.

What You’ll Gain

• Hands-on experience working on real-world data engineering projects.
• Practical experience designing, building, testing, and improving production-oriented data pipelines.
• Exposure to modern cloud, database, data warehouse, and data engineering technologies.
• Mentorship and technical guidance from experienced engineering team members.
• Experience with professional engineering practices, including Git workflows, code reviews, testing, debugging, and documentation.
• Opportunities to collaborate with engineers and other teams on real business and product requirements.
• Experience taking a data engineering project from initial requirements through implementation and testing.
• An opportunity to strengthen your technical portfolio and build meaningful industry experience early in your data engineering career.