$95,500 – $138,550
Listed on Moody's Corporation’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
A data engineer role focused on designing and operating scalable ETL/ELT pipelines within Moody's Databricks ecosystem to support enterprise data delivery. This suits engineers with 5+ years building production data systems who want to work on mission-critical financial data infrastructure at a major risk assessment company.
Our summary, not Moody's Corporation’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 5+ years data engineering experience building production-grade data pipelines
- Programming experience with Python, PySpark, Scala, and SQL
- Experience designing or working with configuration- or metadata-driven data pipelines
- Hands-on experience with Databricks-based data platforms
- Understanding of data modeling, schema evolution, and large-scale dataset management
- Experience deploying data solutions in AWS and Azure
- Working knowledge of CI/CD concepts and automated workflows
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience
- Employment eligibility to work in the U.S.
Nice to have
- Proficiency in AI tools to streamline workflows