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Summer 2025 Intern - Data Engineer

salesforce.com, inc.
United States, Washington, Seattle
Mar 14, 2025

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.

About Futureforce University Recruiting

Our Futureforce University Recruiting program is dedicated to attracting, retaining and cultivating talent. Our interns and new graduates work on real projects that affect how our business runs, giving them the opportunity to make a tangible impact on the future of our company. With offices all over the world, our recruits have the chance to collaborate and connect with fellow employees on a global scale. We offer job shadowing, mentorship programs, talent development courses, and much more.

Job Category

Fixed Term & Temporary

Job Details

About Salesforce

We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place.

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).

Accommodations

If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.

Posting Statement

At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com.

Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.

Salesforce welcomes all.

Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. For Washington-based roles, the base salary hiring range for this position is $50 to $50. For California-based roles, the base salary hiring range for this position is $54 to $54. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.
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