Data Engineer for AI-Driven Data Platform

Moody; Manchester (NH); On-site; USD 110,000 - 165,000; Full time

Job summary

Moody’s is seeking a data engineer to design, build, and support scalable data pipelines powering Moody’s digital content platform. You will work on data integration, AI-ready architectures, and collaborate with cross-functional teams across Moody’s engineering and product communities.

You will design pipelines using DataBricks, Snowflake, Airflow, dbt, and Python within AWS, while mentoring teammates and contributing to data governance and scalability initiatives.

Qualifications

• Bachelor’s degree or equivalent experience; Master’s degree is a plus.
• Hands-on experience building data integration/ETL pipelines.
• Experience with Apache Airflow, dbt, and Python.
• Strong database skills with PostgreSQL, DynamoDB, Snowflake, and Databricks.
• Ability to collaborate with Agile teams and communicate across technical and non-technical audiences.
• Awareness of AI-assisted development tools to improve engineering productivity.
• Understanding data engineering for AI/ML workloads, including data quality, governance, lineage, and scalability.

Responsibilities

• 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 Moody’s 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

Skills

Data engineering

ETL pipelines

Apache Airflow

dbt

Python

PostgreSQL

DynamoDB

Snowflake

Databricks

Agile collaboration

AI-assisted tools

Data governance

Education

Bachelor’s degree or equivalent experience

Master’s degree is a plus

Tools

AWS

Databricks

Snowflake

dbt

PostgreSQL

DynamoDB

Job description

Moody’s is seeking a data engineer to design, build, and support scalable data pipelines powering Moody’s digital content platform. You will work on data integration, AI-ready architectures, and collaborate with cross-functional teams across Moody’s engineering and product communities.

You will design pipelines using DataBricks, Snowflake, Airflow, dbt, and Python within AWS, while mentoring teammates and contributing to data governance and scalability initiatives.