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Salesforce Summer Intern - Data Engineer 
United States, Washington, Seattle 
187886637

20.03.2025

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Fixed Term & Temporary


START DATE:Summer 2025
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.

*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.

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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