Let's begin! Software Engineer - Data Engineering (14209)

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

Responsibilities

• In this role, you will design, build, and support highly scalable data engineering solutions that power Moody’s next‑generation 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 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

About the Team