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 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-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