About The Position

At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together. Throughout the 9-week paid Data Engineering internship, there will be inspiring opportunities that welcome you into the Schwab culture, immerse you into your technology role, and teach you how to help Schwab make better decisions using the power of data. The interactive internship program focuses on a variety of opportunities which feature a business track project, an intern cohort project, learning activities, a dedicated intern leader, networking, and exploring your unique personal strengths! You will have the opportunity to work side by side with some of the financial services industry's best data minds. Data professionals at Schwab spend their days defining the strategy and implementation of our enterprise data warehouse and our emerging data platforms. Our team, and our interns, play a key role in helping Sales, Marketing, Finance, and executive leadership make fact-based decisions by integrating and analyzing data. Daily tasks may include creating and updating data pipeline specifications and/or designing data pipeline logic, building and maintaining code for big data ingestion, identifying opportunities to leverage company data to drive business outcomes, and designing and developing scalable data ingestion frameworks. As you begin to invest in your early talent career, personal and professional support will be provided. Come “challenge the status quo” for the Summer of 2026 and learn what is means to be the next generation of Schwab change makers!

Requirements

  • Currently enrolled in a bachelor's degree program
  • Enough credit hours to be at junior level status at a 4-year college or university
  • Have not already completed your bachelor's degree
  • Able and willing to relocate at your own expense if relocation is needed
  • Able to commit to working 40 hours a week for the 9 weeks of the internship from June 8, 2026 - August 7, 2026
  • Able to start full time employment during business hours between August 2026 - September 2027
  • Currently authorized to work in the United States on a full-time basis without employer sponsorship

Nice To Haves

  • Majoring in Computer Science, Management Information Systems, or a related subject area
  • Understanding of Java or C# development
  • Familiarity with Data Engineering, ETL, Hadoop, and MongoDB
  • Database modeling knowledge
  • Basic understanding of object-oriented analysis and design
  • Good analytical problem-solving, influencing, prioritization, decision-making skills
  • Interest in data analysis or designing and building data pipelines to move data
  • Passion for solving problems while embracing innovation and experimentation
  • Optimism and curiosity, with a keen sense of purpose, awareness, and knowledge
  • Resourcefulness and flexibility, enjoying cross-functional partnerships and collaboration
  • An innovative and questioning demeanor, constantly looking for better ways to do things

Responsibilities

  • Create and update data pipeline specifications
  • Design data pipeline logic
  • Build and maintain code for big data ingestion
  • Identify opportunities to leverage company data to drive business outcomes
  • Design and develop scalable data ingestion frameworks

Benefits

  • Base salary + annual bonus
  • 401(k) with company match
  • Employee stock purchase plan
  • Paid time for vacation, volunteering, and a 4-week sabbatical after 5 years of service
  • Paid parental leave and family building benefits
  • Tuition reimbursement
  • Health, dental, and vision insurance

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What This Job Offers

Career Level

Intern

Industry

Securities, Commodity Contracts, and Other Financial Investments and Related Activities

Education Level

Bachelor's degree

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