Software Engineering/Data Science Summer Internship

Job Description

Collaborate with Q2 as a Software Engineering/Data Science Summer Intern to gain hands-on experience in digital banking technology with a hybrid work model.

Your Role

Here’s what you will be doing:
• Design, code, and test software applications.
• Analyze and visualize data using Python, SQL, or R.
• Participate in Agile sprints and code reviews.
• Research new technologies to improve platform performance.
• Collaborate with engineering teams on impactful projects aligned with your skills and interests.
• Engage in front-end coding, platform extension deployment, and building data pipelines and dashboards.
• Participate in networking events, professional development workshops, and present to Executive Leadership at program conclusion.

About You

The company is looking for:
• Currently pursuing a degree in Computer Science, Data Science, or related field.
• Experience with Python, JavaScript, or C#.
• Familiarity with data visualization tools such as Power BI or Tableau and databases.
• Fluent written and oral communication in English.
• Authorization to work for any employer in the U.S. without visa sponsorship.

Benefits
• Paid hourly internship averaging 40 hours per week for 12 weeks (May 26 – August 14).
• Hybrid work model requiring in-office presence three days per week.
• Generous paid time off and company holidays.
• Health & wellness benefits including competitive health insurance and paid parental leave.
• Flexible time off.
• Employee peer recognition programs (“You Earned it”).
• Community volunteering and company philanthropy programs.

Training & Development
• Ongoing learning opportunities and mentorship programs.
• Internal mobility and meaningful leadership relationships.
• Professional development workshops during the internship.

Career Progression
• Successful completion of the internship may lead to a full-time position upon graduation.

This job may close before the stated closing date, you are encouraged to apply as soon as possible

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