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Summer 2025 Intern - Data Engineer

Min Experience

0 years

Location

California - San Francisco

JobType

Internship

About the role

Salesforce is a cloud-based software company that provides customer relationship management software and applications. They are seeking a motivated and enthusiastic Data Engineering Intern to join their team, offering hands-on experience in building and maintaining data-driven products. Responsibilities Assist in the design, development, and maintenance of data pipelines and ETL processes. Work with large datasets to build and optimize data models and data warehouses. Collaborate with data engineers and analysts to integrate data from various sources. Develop and maintain SQL queries and scripts for data extraction, transformation, and loading. Collaborate with team members to troubleshoot and resolve data-related issues. Document data engineering processes and procedures. Potentially assist in the exploration and implementation of AI related data projects. Qualification Currently pursuing a Bachelor's degree in Computer Science, Data Science, Engineering, or a related field (Spring 2026 Grad) Strong proficiency in Python and SQL. Proficiency using GIT for code standardization and versioning. Strong understanding of data warehouse concepts(e.g., star schema, snowflake schema), data models, and data pipelines. Familiarity with ETL (Extract, Transform, Load) principles. Basic knowledge of data integration and data modeling. Ability to write clean, efficient, and well-documented code. Strong problem-solving and analytical skills. Excellent communication and teamwork skills. Ability to learn quickly and adapt to new technologies. Preferred Experience with data science or machine learning concepts. Experience with AWS technologies like ECS, Aurora, Lambda, S3 preferred. Experience with data pipeline tools (e.g., Apache Airflow). Knowledge of building AI agents. Experience with data visualization tools (e.g., Tableau, Power BI).

About the company

Salesforce is a cloud-based software company that provides customer relationship management software and applications. Founded in 1999 San Francisco, California, USA 10001+ employees

Skills

Python
SQL
GIT
Data Warehouse Concepts
ETL Principles
Data Integration
Data Modeling
Data Science Concepts
Machine Learning Concepts
AWS Technologies
Data Pipeline Tools
AI Agents
Data Visualization Tools
Teamwork Skills