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Salary: USD 95,500 - 138,550 / annual
Moody's is seeking an experienced Data Engineer to design, implement, and operate scalable ETL and ELT pipelines within its enterprise Databricks ecosystem. This role is part of the mission-critical Enterprise Data Platform (CORE) team, which powers one of the world's largest financial and company databases.
Key Responsibilities:
- Design and operate scalable ETL/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 efficiently onboard and manage datasets
- 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 around data quality, lineage, and access controls
Required Qualifications:
- 5+ years of data engineering experience building and operating production-grade data pipelines
- Strong programming skills in Python, PySpark, Scala, and SQL
- Proven experience designing or working with configuration- or metadata-driven data pipelines
- Hands-on experience with Databricks-based data platforms
- Solid understanding of data modeling, schema evolution, and large-scale dataset management
- Experience deploying and operating data solutions in AWS and Azure
- Working knowledge of CI/CD concepts and automated workflows
- Demonstrated proficiency with AI tools to streamline workflows
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience)
The role offers competitive compensation ($95,500–$138,550 base salary depending on experience and location), incentive compensation, and comprehensive benefits including medical, dental, vision, 401(k), parental leave, and tuition reimbursement.
