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

• Expertise in designing, developing, and maintaining scalable data pipelines using Snowflake, Apache Airflow, dbt (Structured Query Language), and Python with Amazon Web Services.
• Strong experience in data integration and Extract, Transform, Load (ETL) processes across diverse data sources and formats.
• Proficiency in database engineering, especially with PostgreSQL, DynamoDB, Snowflake, and Databricks.
• Ability to lead code reviews, workshops, and documentation to educate and support team members.
• Effective communication and problem-solving skills, with the ability to collaborate across technical and non-technical teams.
• Basic understanding of artificial intelligence concepts and enthusiasm for learning how AI tools can improve processes and efficiency. Interest in responsible AI practices, including risk management and ethical use.
• Preferred: Experience with AWS database technologies, data governance principles, object-oriented programming, and big data technologies such as Apache Spark, Apache Kafka, and AWS Kinesis.
• Basic 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 degree or equivalent experience required; Master’s degree preferred.

Responsibilities

• Design, develop, and maintain scalable data solutions for Moody’s content delivery platform.
• Architect, develop, and maintain data pipelines and cloud-native solutions for content delivery.
• Support continuous improvement of applications, infrastructure, and process controls.
• Provide hands-on development and operational support for database deployments across environments.
• Collaborate with technical teams and business stakeholders to understand requirements and deliver effective solutions.
• Manage individual tasks and time efficiently, ensuring timely delivery of assigned work.
• Lead and educate others through code reviews, workshops, and documentation.

About the team

Our Digital Content & Innovations Data Engineering team is responsible for building and maintaining Moody’s next-generation content delivery platform.

By joining our team, you will contribute to technology transformation, support multiple engineering teams, and help drive scalable, highly available cloud-native solutions for Moody’s global audience.

For US-based roles only: the anticipated hiring base salary range for this position is $116,500.00 - $150,000, 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.