Staff Software Engineer - Data Engineering
First seen by Alion on Sep 25, 2026.
Job Description :
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities.
We do this by striving to create 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 customers in meaningful ways.
Moody's is transforming how the world sees risk.
As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action - enabling 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 :
- 7+ years of software engineering experience with 5+ years in Data Engineering, including advanced Python expertise for building scalable, production-grade solutions
- Proven experience designing and optimizing Retrieval-Augmented Generation (RAG) pipelines, hybrid search strategies, vector databases, embedding models, and evaluation frameworks
- Strong knowledge of large-scale data engineering, including ETL/ELT development, batch and streaming pipelines, distributed computing frameworks, and workflow orchestration tools such as Airflow, Prefect, or Dagster
- Hands-on experience integrating REST/GraphQL APIs, implementing caching solutions, and applying data privacy, security, and access-control best practices
- Proficiency with modern AI frameworks and libraries including LangChain, LangGraph, Pandas, NumPy, Polars, and Pydantic
- Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency
- Proven ability to implement AI-powered solutions to solve business challenges.
- Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use
Education :
- Bachelor's, Master's, or PhD degree in Computer Science, Information Technology, Artificial Intelligence, or a related discipline
- AI-related certifications are preferred
Responsibilities :
- Design, develop, and maintain scalable data engineering solutions that support AI-driven products and services
- Architect and optimize advanced retrieval systems, including RAG pipelines, vector search platforms, and embedding strategies
- Develop and manage large-scale batch and streaming data pipelines while ensuring data quality, reliability, and performance
- Establish retrieval evaluation frameworks and continuously improve search relevance, latency, and operational efficiency
- Integrate external data sources and APIs, leveraging caching and performance optimization techniques where appropriate
- Champion best practices in data engineering, AI solution development, security, documentation, and stakeholder communication
About the Team :
The Asset Management Technology team within Moody's Analytics develops innovative software, advanced analytics, and AI-driven solutions that support investment decision-making in the Structured Finance domain.
Working within a global, cross-functional environment, the team leverages modern technologies to build scalable, future-ready products that help clients manage risk and identify opportunities in evolving financial markets.
Moody's is an equal opportunity employer.
Skills
Data Engineering, Python, RAG, ETL, Apache Airflow, LangChain, LangGraph, Pandas, Data Pipeline