Senior Software Engineer - Data Engineering

• We design, build, and support highly scalable data engineering solutions that power our next generation digital content platform.
• We design, develop, and maintain scalable data pipelines using Databricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS.
• We support platform optimization, infrastructure improvements, process control enhancements, and system upgrades.
• We collaborate with our technical teams and business partners throughout design and implementation phases.
• We engage cross-functional teams to understand data requirements and deliver scalable solutions.
• We educate and mentor others through code reviews, documentation, and workshops.

Technologies:

• AI
• Airflow
• AWS
• Cloud
• Copilot
• Databricks
• ETL
• GitHub
• Support
• Machine Learning
• Python
• SQL
• Snowflake
• dbt

More:

We are Moodys Corporation, and we unite bright minds to turn todays risks into tomorrows opportunities. We are building an inclusive environment where everyone feels welcome to be who they are, with the freedom to exchange ideas, think innovatively, and listen to each other and our customers in meaningful ways. As a global leader in ratings and integrated risk assessment, we are advancing AI to move from insight to action, helping clients navigate uncertainty with clarity, speed, and confidence. The Digital Content & Innovations Data Engineering team is a collaborative, forward-thinking group focused on building highly available, cloud-native data solutions that power our digital content ecosystem. We partner closely with multiple engineering and product teams to drive modernization, implement scalable architectures, and deliver innovative solutions that enable reliable, high-quality content experiences for users.

• We seek candidates with 3 years of experience within a data engineering or software development team.
• We look for hands-on experience designing and developing data integration/ETL pipelines from diverse data sources and formats.
• We look for hands-on experience with Apache Airflow, dbt, and Python.
• We require strong database skills with Postgres SQL, DynamoDB, Snowflake, and Databricks.
• We value experience collaborating with Agile teams, product owners, and cross-functional stakeholders, with strong communication skills for both technical and non-technical audiences.
• We value experience applying AI-assisted development tools, such as GitHub Copilot and generative AI coding assistants, to improve engineering productivity, code quality, and delivery efficiency.
• We look for understanding of data engineering considerations for AI and machine learning workloads, including data quality, governance, lineage, and scalability requirements.
• A bachelors degree or equivalent experience is required; a masters degree is a plus.