Let's begin! Staff Software Data Engineer

At Moodys 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.

Skills and Competencies

• Strong proficiency in C and/or C# (mandatory) for developing robust and high-performance data processing pipelines
• Solid experience handling multi-format data (TXT CSV XML JSON HTML XBRL) to integrate heterogeneous data sources
• Good knowledge of SQL and database systems (data modeling indexing performance optimization)
• Familiarity with cloud environments (AWS preferred) for data storage processing and automation
• Ability to design and implement automated systems (scripts batch processing PowerShell schedulers) to minimize manual intervention
• Experience with error handling logging and monitoring to ensure reliability and traceability of processes
• Basic understanding of artificial intelligence concepts with curiosity and enthusiasm to explore how AI tools can improve processes and efficiency
• Interest in responsible AI practices including risk management and ethical use of data and AI systems
• Strong analytical mindset and attention to detail for data validation normalization and quality control
• Experience with Python for data processing or automation
• Familiarity with version control tools such as GitHub
• Experience with data quality ETL processes or large-scale data processing

Education

• Degree in Computer Science Engineering or a related technical field (Bachelors or Masters preferred)

Responsibilities

• Design automate and maintain multi-source data processing pipelines to ensure data quality integration and efficient utilization.
• Collect and integrate data from multiple sources (FTP servers APIs internal repositories)
• Automate the retrieval storage and organization of incoming files
• Analyze and validate data (format structure consistency completeness)
• Detect and handle errors (missing invalid or inconsistent files) using logging and alerting systems
• Transform and standardize data according to predefined business rules
• Design and populate optimized databases while avoiding duplicates and ensuring data integrity
• Implement indexing and search mechanisms (basic filtered full-text analytical queries)
• Integrate external modules and databases to enrich existing datasets
• Generate statistics and reports on processed data
• Produce exports in various formats (TXT JSON binary) for internal and external systems
• Ensure performance scalability and robustness of data processing workflows (large-scale data handling)
• Diagnose and resolve issues related to data pipelines quickly and efficiently
• Contribute to continuous improvement by exploring innovative solutions including AI-based approaches

About the team

Our Data Engineering / Data Processing / Indexation team is responsible for collecting transforming and integrating data from multiple external and internal sources.

We contribute to the organization by:
ensuring the quality and reliability of the data used across the company
developing robust and high-performance automated systems
delivering structured data that powers the companys products and services

By joining our team you will work on challenging technical projects involving large-scale data processing automation performance optimization and the gradual integration of AI-driven solutions.

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 Moodys 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.