Easy JobData Engineer Internship
Metasys · Worldwide · Internship · Remote
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
• Familiarity with ETL tools or frameworks
• Exposure to cloud platforms (AWS, GCP, or Azure)
• Understanding of data warehouses
• Knowledge of version control (Git)
• Basic understanding of data security and governance
What You Will Gain
• Hands-on experience building real-world data pipelines
• Exposure to modern data engineering tools and cloud platforms
• Experience working with cross-func