Data Engineer-Data Platform & Analytics

This 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 domains
• Build and optimize data transformations and validations using Python, PySpark, Scala, and SQL
• Implement configuration-driven pipeline frameworks to onboard and manage datasets efficiently
• Ensure data products are structured, performant, and optimized for downstream consumption
• Partner with stakeholders to define data contracts, schemas, SLAs, and quality standards
• Apply best practices for data reliability, observability, and cost optimization
• Contribute to CI/CD practices, including automated testing, deployment, and promotion
• Support data governance initiatives, including data quality, lineage, and access controls

About the Team This 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 supporting Moody’s success in an increasingly AI-driven industry.

• Five or more years of experience in data engineering, building and operating production-grade data pipelines
• Strong programming experience with Python, PySpark, Scala, and SQL
• Proven experience designing or working with configuration- or metadata-driven data pipelines
• Hands-on experience working within a Databricks-based data platform
• Solid understanding of data modeling, schema evolution, and large-scale dataset management
• Experience deploying and operating data solutions in AWS and Azure cloud environments
• Working knowledge of CI/CD concepts and integrating data pipelines into automated workflows
• Demonstrated proficiency in AI tools to streamline workflows, with awareness of responsible and ethical AI use, * Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience

3.63.6 out of 5 stars Charlotte, NC $95,500 - $138,550 a year - Full-time, Pulled from the full job description

• Tuition reimbursement
• Employee stock purchase plan
• Parental leave
• 401(k)
• Health insurance
• Paid time off
• Employee discount, 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.

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.