Data Engineer-Data Platform & Analytics

Skip to main content Go to homepage Menu Saved Jobs (0) EN Filter Languages English English Canadian Français Canadian French View all jobs Search Jobs Find jobs for Location Radius miles 5 miles 15 miles 25 miles 35 miles 50 miles Search Data Engineer-Data Platform & Analytics Boca Raton, United States Apply now Save job Posted 07/09/2026 Job reference 13141 Experience level Experienced Hire Job category Engineering & Technology Line of business Data Estate 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 CompetenciesFive or more years of experience in data engineering, building and operating production-grade data pipelinesStrong programming experience with Python, PySpark, Scala, and SQLProven experience designing or working with configuration- or metadata-driven data pipelinesHands-on experience working within a Databricks-based data platformSolid understanding of data modeling, schema evolution, and large-scale dataset managementExperience deploying and operating data solutions in AWS and Azure cloud environmentsWorking knowledge of CI/CD concepts and integrating data pipelines into automated workflowsDemonstrated proficiency in AI tools to streamline workflows, with awareness of responsible and ethical AI useEducationBachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experienceResponsibilitiesThis role is responsible for designing, implementing, and operating scalable ETL and ELT pipelines to support enterprise and commercial data delivery within Moody’s Databricks ecosystem.Develop and operate scalable ETL and ELT pipelines to ingest, transform, and publish data across domainsBuild and optimize data transformations and validations using Python, PySpark, Scala, and SQLImplement configuration-driven pipeline frameworks to onboard and manage datasets efficientlyEnsure data products are structured, performant, and optimized for downstream consumptionPartner with stakeholders to define data contracts, schemas, SLAs, and quality standardsApply best practices for data reliability, observability, and cost optimizationContribute to CI/CD practices, including automated testing, deployment, and promotionSupport data governance initiatives, including data quality, lineage, and access controlsAbout the TeamThis team plays a mission-critical role within the Enterprise Data Platform (CORE), supporting a highly complex and impactful component of Moody’s data estate. The group is a modern, innovation-driven data engineering organization responsible for powering one of the world’s largest financial and company databases, enabling data-driven insights and...