About this role
Data Engineer
In this role, you will design, build, and support highly scalable data engineering solutions that power Moody’s next-generation digital content platform. Design, develop, and maintain scalable data pipelines using DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS
Support platform optimization, infrastructure improvements, process control enhancements, and system upgrades Collaborate with Moody’s technical teams and business partners throughout design and implementation phases Engage cross-functional teams to understand data requirements and deliver scalable solutions Educate and mentor others through code reviews, documentation, and workshops
The Digital Content & Innovations Data Engineering team is a collaborative, forward-thinking group focused on building highly available, cloud-native data solutions that power Moody’s digital content ecosystem. The team partners closely with multiple engineering and product teams to drive modernization, implement scalable architectures, and deliver innovative solutions that enable reliable, high-quality content experiences for users across Moody's
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.