Senior Software Engineer - Databricks
First seen by Alion on Sep 25, 2026.
About the Role :
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. 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 Competencies :
- 5 - 8 years of experience designing, building, and optimizing scalable data engineering solutions using Databricks, AWS Glue, and Unity Catalog
- Proven expertise in developing and maintaining batch and streaming ETL/ELT pipelines, including workflow orchestration with Apache Airflow
- Strong understanding of Data Lake and Medallion Architectures, distributed processing frameworks such as Apache Spark, and cloud-native data platforms
- Experience with SQL and NoSQL databases, data warehousing, data governance, metadata management, lineage tracking, and security controls
- Hands-on experience with AWS/Azure services, Git-based version control, Terraform, and CI/CD pipelines
- Demonstrated proficiency in AI-enabled productivity tools and emerging technologies that improve engineering efficiency and delivery outcomes.
Responsibilities :
- Design, build, and maintain scalable data pipelines that process structured and unstructured data from multiple sources
- Implement high-performance data solutions using Databricks, Spark, AWS Glue, and other cloud-native services
- Manage and optimize ETL workflows, ensuring reliability, scalability, and operational efficiency
- Develop and maintain secure Data Lake and Data Warehouse environments that support analytics and reporting needs
- Establish data governance, lineage, quality monitoring, and access-control frameworks
- Collaborate with business stakeholders, analysts, and data scientists to deliver data solutions aligned with business objectives.
Education :
- Bachelor's, Master's, or PhD degree in Computer Science, Information Technology, or a related discipline
About the Team :
The Asset Management Technology team delivers innovative data, analytics, and AI capabilities supporting Structured Finance solutions. The team collaborates globally to build scalable platforms and high-quality data products that enable informed investment decisions across financial markets.
Moody's is an equal opportunity employer.
Skills
Data Engineering, Data Infrastructure, AWS Glue, Databricks, ETL, Data Pipeline, Medallion Architecture, SQL, Data Warehousing, Data Governance