Software Engineer

About the role

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

Working knowledge of Python, SQL, and Java for data pipeline development, ETL/ELT processes, and software service development

Foundational knowledge of AWS cloud services, including Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, and Amazon RDS; experience with Microsoft Azure and SSIS is preferred

Familiarity with relational database concepts, including tables, keys, joins, indexes, views, and normalization; knowledge of non-relational databases such as DynamoDB or MongoDB is preferred

Foundational understanding of REST APIs and GraphQL APIs, including schemas, queries, mutations, and web service integration; experience with API testing tools such as Postman, Swagger, or OpenAPI is preferred

Experience developing reports and dashboards using Tableau or Power BI is preferred

Familiarity with Git and GitHub for source-code management, version control, and collaboration

Strong analytical, problem-solving, communication, and collaboration skills with attention to detail and a commitment to data quality, accuracy, and technical integrity

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 in Computer Science, Software Engineering, Data Engineering, Information Systems, or a related field; equivalent practical experience may be considered

Approximately 0–2 years of experience in data engineering, software engineering, application development, database development, or a related discipline

Responsibilities

Supports the development, integration, and maintenance of data pipelines, software services, cloud-based solutions, APIs, and reporting platforms, collaborating with engineers, architects, analysts, and business stakeholders to deliver reliable and scalable outcomes.

Develop, maintain, and support data pipelines and ETL/ELT processes using Python, SQL, AWS, Azure, and SSIS

Extract, transform, validate, and load data across multiple source and target systems, ensuring accuracy, consistency, and data quality

Support cloud-based data engineering solutions using AWS services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, Amazon RDS, and CloudWatch

Develop and consume REST APIs and GraphQL APIs, including queries, mutations, schemas, resolvers, error handling, and integrations with downstream systems and external services

Develop, integrate, test, and support software services using Java and Python, and participate in testing, code reviews, deployment, and production support activities

Write and optimize SQL queries, stored procedures, views, and data transformation logic across relational and non-relational databases

Develop and maintain reports and dashboards using Tableau and Power BI to support data-driven decision-making across the organization

Document data flows, API specifications, transformation rules, technical processes, and operational procedures to support maintainability and knowledge sharing

Use Git and GitHub for source-code management, version control, collaboration, and pull requests

Use approved AI-assisted development tools, including GitHub Copilot and AI agents, in accordance with Moody's security, confidentiality, and responsible-use requirements

About The Team

Our Data Engineering team is responsible for building and maintaining the data infrastructure, pipelines, APIs, and software services that power Moody's data platforms and analytics capabilities. We design and deliver scalable, cloud-based solutions that enable data-driven decision-making across the organization, supporting a wide range of internal and external stakeholders. Collaboration is at the core of how we work — engineers contribute across the full data and software engineering lifecycle, from development and integration through to deployment and production support, while helping shape reusable frameworks, integration standards, and responsible engineering practices. By joining our team, you will work alongside experienced data engineers, software engineers, and architects on meaningful and impactful initiatives, and be part of a culture that values continuous learning, technical excellence, and the thoughtful adoption of AI-assisted development tools.

For US-based roles only: the anticipated hiring base salary range for this position is $95,500.00 - $138,550.00, 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.

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.