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

• Proven senior-level data engineering experience designing and operating data products on the Databricks Lakehouse (Delta Lake) in regulated environments.
• Hands-on experience building and running Databricks Delta Live Tables (DLT) in production, including incremental/near-real-time patterns, expectations, and operationalization.
• Strong orchestration experience using AWS MWAA (Managed Workflows for Apache Airflow) and Databricks Workflows to schedule, monitor, and recover pipelines.
• Expert SQL plus strong Python/Spark skills; deep experience implementing transformations and tests using dbt.
• Strong DataOps mindset: CI/CD for data, data observability/monitoring, incident triage, performance tuning, and designing for reliability and auditability.
• Literacy in Machine Learning concepts and workflows (e.g., feature generation, training/serving considerations), with the ability to partner effectively with ML engineers/data scientists and ensure responsible use.
• Experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use.

Education

Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).

Responsibilities

• Build and operate governed Databricks Lakehouse pipelines (DLT/dbt) orchestrated via MWAA to deliver trusted, compliant data products.
• Provide access to usable data for Corps and Gov business applications, embedded analytics, and ad-hoc stakeholder requests.
• Own the ‘pipes’ that enable downstream use cases—reliable ingestion, transformation, and delivery patterns that support customer-facing risk solutions.
• Design, build, and operate production Delta Live Tables (DLT) pipelines to improve data freshness, quality, and operational resilience.
• Implement transformations, testing, and validation using dbt, SQL, and Spark/Python to ensure accuracy, consistency, and trust.
• Orchestrate and monitor workflows using AWS MWAA (Airflow) and Databricks Workflows, implementing alerting, retries, backfills, and runbook-driven operations.
• Build robust infrastructure and reusable frameworks that allow stakeholders to create predictive and prescriptive analytics (and ML) on top of platform data.
• Enable open configurations and patterns so product and engineering teams can embed analytics and pipelines within their own code repositories safely and consistently.
• Drive technical design and execution for key initiatives; clarify scope, identify risks, and deliver iteratively in ambiguous problem spaces.
• Improve existing systems through iterative, non-disruptive refactoring (backwards-compatible changes, staged migrations, measurable improvements).
• Mentor other engineers and contribute to engineering standards and the technical vision of the CnG Data and AI Platform.

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 the Data Factory 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 $140,200.00 - $203,350.00, 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.