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

• 8+ years of experience in data engineering with a focus on cloud technologies (AWS preferred)
• Current hands‑on coding and expertise in PySpark, Python and SQL
• Experience with AWS services such as S3, Redshift, Lambda and Glue
• Strong understanding of data warehousing concepts and ETL processes
• Excellent problem‑solving skills and attention to detail
• Strong communication and collaboration skills
• Experience with other cloud platforms (preferred)
• Knowledge of big data technologies such as Hadoop, Spark and Kafka (preferred)
• Familiarity with data visualization tools and techniques (preferred)
• Intermediate level 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

• Bachelor’s or Master’s degree in Computer Science, Engineering or a related field

Responsibilities

• Design, develop and maintain scalable data pipelines and systems on AWS
• Implement data integration and ETL processes using PySpark, Python, SQL and Kafka
• Optimize and tune SQL queries for performance and efficiency
• Ensure data quality and integrity through testing and validation
• Collaborate with cross‑functional teams to gather requirements and deliver data solutions
• Monitor and troubleshoot data pipelines to ensure reliability and performance
• Stay current on industry trends and technologies in data engineering and cloud computing

About the Team
Our Moody’s Ratings Technology team is responsible for delivering reliable, scalable and innovative technology solutions that support ratings methodologies, analytics workflows and data‑driven decision‑making across the organization. By joining our team, you will be part of exciting work in cloud transformation, data engineering modernization and AI‑enhanced capabilities that improve efficiency and empower analytical excellence. We continue to expand our adoption of responsible AI practices to support high‑quality, trusted outcomes.

For US-based roles only: the anticipated hiring base salary range for this position is $116,500.00-$169,00.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.

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.

Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement. Click here to view our Notice to New York City Applicants.
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 STP Quick Reference guide on ComplianceNet

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.