Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 6 and day 56.
At Moody's, jobs usually come down by about day 15.
From 13,630 similar postings that came down, and 78 of Moody's’s. Coming down is not always a hire.
Data Engineering Intern
Heredia, Costa Rica
Actively hiring, first seen by us 2 hours ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- New graduates
- For current students
Currently pursuing a bachelor's or master's degree in Machine Learning, Data Analytics, Data Science, Statistics, Computer Science, Computer Engineering, Mathematics, Business Intelligence, or a related quantitative field
What you’ll work on
Full postingCollaborate with team members to understand how data is collected, stored, and used across the organization
Write code in Python or Java to automate data collection and processing workflows
Build dashboards with measurable outcomes to support data-driven decision-making
From the employer’s posting
Support the Data Estate team by contributing to data engineering, automation, and platform improvement initiatives that drive decision-ready data solutions across Moody's Analytics. Collaborate with team members to understand how data is collected, stored, and used across the organization Learn existing team procedures, then identify opportunities to improve and automate them
Learn existing team procedures, then identify opportunities to improve and automate them Write code in Python or Java to automate data collection and processing workflows Store and manage data and properties using PostgreSQL and AWS S3
Store and manage data and properties using PostgreSQL and AWS S3 Build dashboards with measurable outcomes to support data-driven decision-making Contribute to platform improvements that support the tools and solutions implemented during the internship
Education & alternatives
Education - Currently pursuing a bachelor's or master's degree in Machine Learning, Data Analytics, Data Science, Statistics, Computer Science, Computer Engineering, Mathematics, Business Intelligence, or a related quantitative field Responsibilities
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 13, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Moody's is hiring
54 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
- 11% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Java
- Python
- SQL
- AWS
- PostgreSQL
- S3
Where the posting names them
Skills and Competencies - Working knowledge of Python or Java through coursework or project experience - Basic understanding of cloud technologies and Unix/Linux environments and file systems
- Learn existing team procedures, then identify opportunities to improve and automate them - Write code in Python or Java to automate data collection and processing workflows - Store and manage data and properties using PostgreSQL and AWS S3
- Clear and effective verbal and written communication skills - Working knowledge of SQL preferred - Basic understanding of AWS services, including experience with AWS S3 or similar platforms, preferred
- Working knowledge of SQL preferred - Basic understanding of AWS services, including experience with AWS S3 or similar platforms, preferred - Experience with Git or another version control system preferred
- Experience with Git or another version control system preferred - Hands-on experience with AI tools such as Claude CLI or AWS Bedrock, and an understanding of agentic principles, preferred - Background in software development preferred
- Write code in Python or Java to automate data collection and processing workflows - Store and manage data and properties using PostgreSQL and AWS S3 - Build dashboards with measurable outcomes to support data-driven decision-making
Your next step
Complete your application on careers.moodys.com. The employer’s form will show what is required.
Applying through Radancy (TalentBrew)
- Radancy (TalentBrew) runs the employer’s careers site, but the application itself usually runs on another system, often Workday or Taleo. The advice for that system applies once you click Apply.
Already applied? Track this application
About Moody's
- People
- About 5,300 in 2025, up 10% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as MCO.
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
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.
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
Skills and Competencies
- Working knowledge of Python or Java through coursework or project experience
- Basic understanding of cloud technologies and Unix/Linux environments and file systems
- Familiarity with software development practices including version control, Agile methodologies, code review, and CI/CD pipelines
- Strong problem-solving skills with a self-motivated and proactive approach
- Clear and effective verbal and written communication skills
- Working knowledge of SQL preferred
- Basic understanding of AWS services, including experience with AWS S3 or similar platforms, preferred
- Experience with Git or another version control system preferred
- Hands-on experience with AI tools such as Claude CLI or AWS Bedrock, and an understanding of agentic principles, preferred
- Background in software development preferred
- Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency; proven ability to implement AI-powered solutions to solve business challenges; demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use
Education
- Currently pursuing a bachelor's or master's degree in Machine Learning, Data Analytics, Data Science, Statistics, Computer Science, Computer Engineering, Mathematics, Business Intelligence, or a related quantitative field
Responsibilities
Support the Data Estate team by contributing to data engineering, automation, and platform improvement initiatives that drive decision-ready data solutions across Moody's Analytics.
- Collaborate with team members to understand how data is collected, stored, and used across the organization
- Learn existing team procedures, then identify opportunities to improve and automate them
- Write code in Python or Java to automate data collection and processing workflows
- Store and manage data and properties using PostgreSQL and AWS S3
- Build dashboards with measurable outcomes to support data-driven decision-making
- Contribute to platform improvements that support the tools and solutions implemented during the internship
- Document and share progress using Confluence and JIRA
- Prepare presentations and a final report summarizing project outcomes and learnings
About the Team
The Data Estate division is Moody's Analytics' commercial data business, bringing together an extensive catalog of data to help decision-makers assess risks and opportunities. It includes Orbis, a comprehensive database of public and private companies, as well as ratings-related data for companies and securities rated by Moody's Investors Service. The team is focused on simplifying how data is sourced, prepared, and accessed — helping customers work with reliable, decision-ready information. By joining this team, the intern will work at the intersection of data engineering, cloud infrastructure, and AI-powered automation, contributing directly to initiatives that shape how data is delivered at scale across Moody's Analytics.
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
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.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Heredia, Costa Rica
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.