Let's begin! Software Engineer Data Engineering

At Moodys we unite the brightest minds to turn todays risks into tomorrows opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they arewith the freedom to exchange ideas think innovatively and listen to each other and customers in meaningful ways. Moodys is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment were advancing AI to move from insight to actionenabling 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.

If you are excited about this opportunity but do not meet every single requirement please apply! You still may be a great fit for this role or other open roles. 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

• 1 years of experience within a data engineering or software development team
• Hands-on experience designing and developing data integration/ETL pipelines from diverse data sources and formats
• Hands-on experience with Apache Airflow dbt and Python
• Strong database skills with Postgres SQL DynamoDB Snowflake and Databricks
• Experience collaborating with Agile teams product owners and cross-functional stakeholders with strong communication skills for both technical and non-technical audiences
• Awareness of AI-assisted development tools (e.g. GitHub Copilot generative AI coding assistants) to improve engineering productivity code quality and delivery efficiency
• Understanding of data engineering considerations for AI and machine learning workloads including data quality governance lineage and scalability requirements

Education

• Bachelors degree or equivalet experience; Masters degree is a plus

Responsibilities

In this role you will design build and support highly scalable data engineering solutions that power Moodys nextgeneration digital content platform.

• Design develop and maintain scalable data pipelines using DataBricks Snowflake Apache Airflow dbt (SQL) and Python within AWS
• Support platform optimization infrastructure improvements process control enhancements and system upgrades
• Collaborate with Moodys technical teams and business partners throughout design and implementation phases
• Engage cross-functional teams to understand data requirements and deliver scalable solutions
• Educate and mentor others through code reviews documentation and workshops

About the Team

The Digital Content & Innovations Data Engineering team is a collaborative forwardthinking group focused on building highly available cloudnative data solutions that power Moodys digital content ecosystem. The team partners closely with multiple engineering and product teams to drive modernization implement scalable architectures and deliver innovative solutions that enable reliable highquality content experiences for users across Moodys

Moodys is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion sex national origin disability protected veteran status sexual orientation gender expression gender identity or any other characteristic protected by law.

Candidates for Moodys Corporation may be asked to disclose securities holdings pursuant to Moodys Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy including remediation of positions in those holdings as necessary.