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