{"id":4283725,"url":"https://alion.io/job/moodys-data-engineering-intern","title":"Data Engineering Intern","company":{"id":58685,"name":"Moody's","domain":"moodys.com","url":"https://alion.io/company/moody-s","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"B","score":81,"open_postings":13,"ghost_share":0,"stale_share":0.923,"repost_share":0.077,"time_to_fill_p50_days":16,"computed_at":"2026-11-14T05:58:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Confluence","optional":false},{"name":"Git","optional":false},{"name":"Java","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Unix","optional":false}],"status":"live","first_seen_at":"2026-11-13T21:09:33Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-14T12:48:22Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"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.\nIf 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.\nSkills and Competencies\nWorking knowledge of Python or Java through coursework or project experience\nBasic understanding of cloud technologies and Unix/Linux environments and file systems\nFamiliarity with software development practices including version control, Agile methodologies, code review, and CI/CD pipelines\nStrong problem-solving skills with a self-motivated and proactive approach\nClear and effective verbal and written communication skills\nWorking knowledge of SQL preferred\nBasic understanding of AWS services, including experience with AWS S3 or similar platforms, preferred\nExperience with Git or another version control system preferred\nHands-on experience with AI tools such as Claude CLI or AWS Bedrock, and an understanding of agentic principles, preferred\nBackground in software development preferred\nDemonstrated 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\nEducation\nCurrently 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\nResponsibilities\nSupport the Data Estate team by contributing to data engineering, automation, and platform improvement initiatives that drive decision-ready data solutions across Moody's Analytics.\nCollaborate with team members to understand how data is collected, stored, and used across the organization\nLearn existing team procedures, then identify opportunities to improve and automate them\nWrite code in Python or Java to automate data collection and processing workflows\nStore and manage data and properties using PostgreSQL and AWS S3\nBuild dashboards with measurable outcomes to support data-driven decision-making\nContribute to platform improvements that support the tools and solutions implemented during the internship\nDocument and share progress using Confluence and JIRA\nPrepare presentations and a final report summarizing project outcomes and learnings\nAbout the Team\nThe 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.\nMoody’s is an equal opportunity employer. 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