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. 

• 5–9 years of professional experience as a Senior Data Engineer, or Senior Database Engineer, delivering large scale, production grade data systems.
• Expert level SQL skills with strong proficiency in Python, Java, C#, or Scala for building high performance backend and data solutions.
• Extensive experience with relational databases such as PostgreSQL, SQL Server, Oracle, and Snowflake, and NoSQL databases including MongoDB, Cassandra, or DynamoDB.
• Hands on experience designing and operating cloud based data platforms on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
• Deep understanding of database architecture, data modeling, indexing, partitioning, and query optimization at scale.
• Ability to lead technical design discussions, mentor engineers, and drive best practices across data and software engineering teams.
• Experience with Docker and Kubernetes for deploying and managing scalable data services.
• Strong data modeling expertise, including Star Schema, Data Vault, and dimensional modeling.
• Experience implementing CI/CD pipelines and infrastructure as code using Terraform or CloudFormation.
• Familiarity with data quality, observability, monitoring, and lineage tools in production environments.

• Bachelor’s / Master’s degree in Computer Science, Engineering, Information Technology or relevant degree.

• Lead the design and optimization of secure, scalable databases and data pipelines powering analytics and mission critical applications.
• Architect, design, and maintain high performance SQL and NoSQL database schemas supporting analytics, applications, and data science workloads.
• Drive database performance optimization through advanced query tuning, indexing strategies, partitioning, and configuration management.
• Build and scale robust ETL / ELT pipelines for ingesting, transforming, validating, and serving large volumes of structured and unstructured data.
• Integrate internal and external systems using APIs and cloud data services across platforms such as Snowflake, Redshift, BigQuery, PostgreSQL, and SQL Server.
• Lead the implementation of data security, governance, and compliance controls, including encryption, identity and access management, and adherence to GDPR and CCPA.
• Partner closely with software engineers, data scientists, product managers, and stakeholders to deliver reliable, business critical data solutions.
• Provide technical leadership through code reviews, design guidance, and mentoring of junior engineers.
• Proactively identify and resolve complex data and performance issues, improving system reliability and scalability.

Our engineering team is responsible for developing cutting-edge software, sophisticated models, and advanced analytics that power risk quantification for the global multi trillion-dollar P&C market. Our solutions enable organizations to better understand and manage the risks of natural and human-made catastrophes, including hurricanes, earthquakes, floods, wildfires, terrorism, cyber threats, climate change, and pandemics

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

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.