Software Engineer – Data Engineering & AI

About the role

Moody's is looking for a Software Engineer to help build and maintain highly scalable data engineering solutions for its next‑generation digital content platform. You will work in a collaborative, cloud‑native environment, applying AI concepts to streamline workflows and deliver actionable risk insights.

Key responsibilities

• Design, develop, and support data pipelines using Databricks, Snowflake, Apache Airflow, dbt, and Python on AWS.
• Optimize platform performance, improve infrastructure, and implement system upgrades.
• Collaborate with technical teams and business partners throughout design and implementation phases.
• Engage cross‑functional teams to gather data requirements and deliver scalable solutions.
• Mentor peers through code reviews, documentation, and workshops.

Required profile

• 1+ years of experience providing technical leadership in data engineering or software development.
• Bachelor’s degree or equivalent experience; Master’s degree is a plus.
• Strong communication skills for both technical and non‑technical audiences.
• Demonstrated awareness of AI risk management and ethical AI use.

Required skills

• Python
• Apache Airflow
• dbt
• PostgreSQL
• DynamoDB
• Snowflake
• Databricks
• AWS
• Artificial intelligence concepts and AI tools