Data Engineer Internship

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.

• 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

• 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

• 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

• 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

• Hands-on experience building real-world data pipelines

• Exposure to modern data engineering tools and cloud platforms

• Experience working with cross-functional data teams

• Mentorship from experienced data engineers

• Certificate of Internship Completion upon successful completion

• Opportunity for paid or full-time conversion based on performance

Originally posted on Himalayas