Summer 2025 Intern - Data Engineer

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

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START DATE: Summer 2025

Internship dates:
Group 1 May 19th - August 8th
Group 2 June 2nd - August 22nd
Group 3 June 16th - September 5th
*Our headcount demand is always changing as we grow; start dates listed here may or may not have an immediate opening at the time of your application.

LOCATIONS WE HIRE FOR: Seattle WA, San Francisco CA
*Our headcount demand is always changing as we grow; some of the locations listed here may or may not have an immediate opening at the time of your application.

Salesforce's Employee Success (ES) Product Management team is focused on advancing AI-driven data initiatives to transform and expand our data capabilities across all ES functions. A key priority in this effort is developing a strong data and AI foundation to support innovation, automation, and data-driven decision-making across the ES landscape.

Job Summary:
We are seeking a motivated and enthusiastic Data Engineering Intern to join our team. This internship offers a unique opportunity to gain hands-on experience in building and maintaining data driven products in a fast-paced environment. The ideal candidate will have a strong foundation in Python and SQL, a solid understanding of data engineering concepts, and a passion for learning.

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.

Required Skills and Qualifications:

• 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 Skills and Qualifications:

• 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).

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