Software Engineering Summer Intern

PassFort

New York (NY)

On-site

USD 41,000 - 55,000

Full time

2 days ago
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Job summary

Moody’s Data Estate Summer Internship is a 10-week, full-time program in New York. Interns will build AI-powered data applications using Java, Python, and SQL, collaborate in Agile ceremonies, and contribute to data pipelines and research initiatives.

Participants gain mentorship, hands-on project work, and exposure to responsible AI practices, with compensation details noted for US roles.

Qualifications

  • Pursuing a bachelor’s degree in CS/CE/DS or related field.

Responsibilities

  • Support the development of data and AI-powered applications using Java, Python, and SQL.

Skills

Python
Java
SQL
GitHub
AI tools
communication
data scraping
cloud platforms (AWS)

Education

Bachelor’s degree in Computer Science, Computer Engineering, Data Science or related field

Tools

GitHub
AWS

Job description

Software Engineering Summer Intern

New York, United States

  • Posted: 10/13/2026
  • Job reference: 15117
  • Experience level: Early Career
  • Job category: Early Career Opportunities & Programs
  • Job sub category: Early Career Opportunities & Programs
  • Line of business: Data Estate

At Moody’s, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

Skills and Competencies

  • Working knowledge of Python and Java gained through coursework, personal projects, or prior internships
  • Understanding of Structured Query Language and relational database concepts
  • Familiarity with GitHub and basic version-control workflows, including commits, branches, and pull requests
  • Hands‑on experience with, or a strong willingness to learn, AI‑assisted software development tools
  • Proactive and self‑motivated approach, with the ability to ask questions, seek out tasks, and follow through on commitments
  • Strong written and verbal communication skills, including the ability to share progress and flag blockers promptly
  • Familiarity with web scraping, data extraction, Unix or Linux environments, or cloud platforms such as Amazon Web Services is preferred
  • Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency. Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use

Education

  • Currently pursuing a bachelor’s degree in Computer Science, Computer Engineering, Data Science, or a related field
  • Graduation date of December 2027 – June 2029
  • Ability to work full-time for the duration of the program from June 7 through August 13, 2027

Responsibilities

Support the development of data and AI‑powered applications using Java, Python, and Structured Query Language.

  • Collaborate with team members to design, develop, and test software solutions using Java, Python, and Structured Query Language
  • Build and maintain web‑scraping and data‑extraction scripts
  • Assist with automating and optimizing data pipelines and backend services
  • Contribute to generative AI projects, including model integration and prompt engineering
  • Use version‑control tools and participate in code reviews
  • Apply AI‑assisted coding tools to support software development and testing
  • Participate in agile ceremonies and technical discussions
  • Document technical processes and share knowledge with the team

About the Team

The Data Estate division is the data arm of Moody’s Analytics, bringing together an extensive catalog of datasets to help business decision‑makers evaluate risks and identify opportunities. The team supports Orbis and provides ratings‑related data on companies and securities rated by Moody’s Ratings. Its mission is to make data easier to source, prepare, and access, helping customers focus on informed decision‑making. By joining the team, you will contribute to data infrastructure, software development, and the responsible use of AI‑enabled tools and applications.

Moody’s 10‑week summer internship program is a premier opportunity for students to immerse themselves in a hands‑on learning experience, guided by Moody’s commitment to integrity, excellence, and insight. The program takes place each summer from June – August and positions are available for undergraduate and select graduate students. Internships are full‑time, offering a comprehensive view of Moody’s business and culture, and a chance to build professional and technical skills. Programmatic elements include networking, mentorship, leadership speaker series and volunteering events. Interns complete project work determined by their team that have real impact, fostering a sense of accomplishment and professional growth. Throughout the internship, participants receive mentorship from Moody’s professionals, gaining insights into diverse career paths and cultivate a comprehensive understanding of the company. Networking events and workshops further enrich the experience, providing a platform for professional development and collaboration. As a Moody’s intern, you will gain real‑world experience, turn inputs into actions, and be integral part of the team.

For US‑based roles only: the anticipated hiring hourly rate for this position is $35, depending on factors such as experience, education, level, skills, and location.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.

Candidates for Moody’s Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary. For more information on the Securities Trading Program, please refer to the Securities Trading Policy on Moody’s Compliance Expo page. Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.

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