at Moody's
OtherPosted 12 days ago
No clicks
**Associate Software Engineer** in Heredia, Costa Rica. Develop, enhance, and operate data acquisition pipelines processing unstructured data. Key responsibilities include contributing to Python and Java workflows, integrating with teams, and participating in bi-weekly deliveries. Must-have skills: Python, additional programming language, data processing experience, cloud platform familiarity (AWS preferred), and CI/CD fundamentals. Equivalent practical experience may substitute for a Computer Science degree. Moody's offers an inclusive environment with continuous learning and collaboration.
- Compensation
- Not specified
- City
- Heredia
- Country
- Not specified
Currency: Not specified
Full Job Description
Associate Software Engineer
Heredia, Provincia de Heredia
At Moody's, we unite the brightest minds to turn todays risks into tomorrows opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they arewith the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moodys is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, were advancing AI to move from insight to actionenabling 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.
- Strong foundations in software engineering with Python and at least one additional programming language such as Java, C#, Go, C++, or Rust, including the ability to write clean, testable, and maintainable code
- Introductory experience working with data processing and unstructured data formats such as HTML, PDF, and XML, gained through coursework, internships, personal projects, or early career roles
- Familiarity with web technologies or data acquisition techniques, including APIs, basic scraping approaches, or ETL concepts
- Exposure to cloud platforms, with AWS preferred, and an understanding of containerization concepts; hands-on experience is a plus but not required
- Understanding of CI/CD fundamentals, version control using Git, and automated testing practices
- Basic awareness of AI, machine learning, or large language model concepts, with an interest in applying AI-enabled tools to improve data quality and engineering workflows
- Ability to collaborate effectively within a team environment, actively participate in code reviews, and communicate technical ideas clearly
- Strong learning mindset with the ability to ramp up quickly in new domains, tools, and technologies
- Bachelors degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Contribute to the development and operation of data acquisition and extraction pipelines that ingest and process unstructured data from public and regulatory sources
- Implement enhancements to Python- or Java-based workflows under the guidance of senior engineers, following established design patterns and best practices
- Assist in building and maintaining pipelines that transform unstructured documents into validated, structured datasets
- Collaborate with data engineering, enrichment, and machine learning teams to integrate tagging, classification, and metadata enrichment outputs
- Participate in a bi-weekly delivery cadence, shipping incremental improvements such as new data sources, extraction enhancements, or reliability fixes
- Learn and apply production engineering practices, including testing, monitoring, logging, and basic incident response
- Contribute to AI- or LLM-assisted parsing and extraction workflows by implementing prompts, evaluations, or supporting components
- Actively seek feedback through code reviews and retrospectives, demonstrating continuous improvement in code quality and system understanding
Moodys 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 Moodys 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.
