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. 

Employment eligibility to work in the U.S. is required, as Moody’s will not pursue visa sponsorship for this position

Skills and Competencies

• 1–3 years of experience in data engineering, backend engineering, or a related technical role.
• Foundational experience working with the Databricks Lakehouse (Delta Lake) or a comparable platform (Snowflake, BigQuery); exposure to Delta Live Tables (DLT) is a plus.
• Familiarity with orchestration tools such as AWS MWAA (Managed Workflows for Apache Airflow) or Databricks Workflows.
• Solid SQL skills and working knowledge of Python; exposure to Spark and dbt is preferred.
• Understanding of DataOps principles: CI/CD for data pipelines, automated testing, and environment promotion practices.
• Awareness of data security fundamentals—encryption at rest and in transit, role-based access control, secrets management—and a willingness to deepen that knowledge.
• Understanding of data observability and monitoring concepts (pipeline health, data quality checks, alerting, and incident triage).
• Exposure to Machine Learning concepts (e.g., feature generation, training vs. serving) is preferred; comfort collaborating with data scientists and ML engineers.
• 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, Engineering, or a related field required.

Master’s degree in a related discipline is preferred.

Responsibilities

• Develop and maintain data pipelines on the Databricks Lakehouse, contributing to governed data products that support compliant, downstream analytics.
• Develop and maintain data pipelines that provide access to usable data for Corps and Gov business applications, embedded analytics, and ad-hoc stakeholder requests.
• Contribute to the “pipes” that enable downstream use cases—ingestion, transformation, and delivery patterns supporting customer-facing risk solutions.
• Build and support Delta Live Tables (DLT) pipelines under guidance from senior engineers to improve data freshness, quality, and resilience.
• Write and test transformations using dbt, SQL, and Spark/Python; participate in code reviews and follow established quality standards.
• Help orchestrate and monitor workflows in AWS MWAA (Airflow) and Databricks Workflows, including alerting setup, retry logic, and backfill procedures.
• Support infrastructure and reusable frameworks that allow stakeholders to create analytics and ML workloads on top of platform data.
• Collaborate with cross-functional stakeholders—including KYC/AML experts, product managers, and application developers—to understand data needs and deliver solutions.
• Apply data security best practices (access controls, encryption, secrets management) and observability patterns (monitoring, data quality checks, alerting) in day-to-day work
• Participate in incident triage and pipeline troubleshooting, learning to diagnose root causes and implement durable fixes.
• Proactively learn and adopt team standards for code quality, testing, documentation, and operational readiness.

About the team

Our CnG Data and AI Platform Data Engineering team focuses on providing access to usable data across the Corps and Gov Operating Unit by interacting with core business applications and via the Data Platform. The Data Platform is an umbrella term describing the infrastructure and content of data access. We strive to implement a Data Mesh architecture to enable broader access to Moody’s Analytics-wide data. 

Data Mesh is an organizational philosophy where original data sources are owned by a data producer, and those sources are copied into a centralized data lake that can be used by Operating Unit-wide resources.

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. 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.