Senior Data Engineer - Cloud Pipelines & Security Data

Moody's Investors Service; Golden (CO); On-site; USD 117,000 - 169,000; Full time

Job summary

Moody's Investors Service is hiring for a data engineering role focused on building scalable data pipelines and cloud infrastructure in a high-volume, security-conscious environment. The team advances AI and analytics to strengthen risk assessment across Moody's platforms, leveraging AWS and IaC practices to enable reliable data operations.

You will design and maintain ETL processes, collaborate with cybersecurity and compliance teams, and drive data quality and observability across global data

Qualifications

• 5-7 years of experience in data engineering, data warehousing, database administration, or related discipline.
• Strong experience designing, building, and supporting ETL processes and scalable data pipelines.
• Proficiency in SQL and hands-on experience with relational databases and data warehouse technologies.
• Experience developing automation and data solutions using Python and/or JavaScript.
• Hands-on experience deploying and managing cloud-based solutions in AWS.
• Experience using Infrastructure as Code (IaC) tools such as Pulumi, CloudFormation, Terraform, or similar technologies.
• Strong understanding of data modeling, schema design, data quality, and data normalization best practices.
• Experience with Splunk, Cribl, observability platforms, security event data, or other large-scale operational data environments is a plus.

Responsibilities

• Build scalable data pipelines, ETL processes, and cloud infrastructure that power critical data platforms in a high-volume environment.
• Design, build, and maintain data pipelines that ingest, transform, and route security event data at scale.
• Develop and support ETL processes that normalize and enrich data from a variety of source systems.
• Build and maintain data warehouse and SQL datastore solutions that support cybersecurity, audit, and compliance programs.
• Develop Infrastructure as Code (IaC) using tools such as Pulumi, CloudFormation, or AWS CDK to provision and manage cloud resources.
• Create automation and tooling in Python and/or JavaScript to improve data quality, operational efficiency, and platform reliability.
• Partner with cybersecurity, compliance, and engineering teams to understand data requirements and deliver reliable data solutions.
• Monitor, troubleshoot, and optimize data pipeline performance, scalability, cost, and reliability.
• Document data flows, schemas, operational processes, and technical implementations to support ongoing maintenance and audit readiness.

Skills

SQL

Python

AWS

Data pipelines

ETL design

IaC (Pulumi/CloudFormation/Terraform)

Data modeling

Observability tools

Education

Bachelor's degree in CS/IT/Engineering/Data Science

AWS certifications

Cloud/cybersecurity certifications

Tools

SQL Databases

Data warehouse technologies

Pulumi

CloudFormation

Terraform

AWS CDK

Job description

Moody's Investors Service is hiring for a data engineering role focused on building scalable data pipelines and cloud infrastructure in a high-volume, security-conscious environment. The team advances AI and analytics to strengthen risk assessment across Moody's platforms, leveraging AWS and IaC practices to enable reliable data operations.

You will design and maintain ETL processes, collaborate with cybersecurity and compliance teams, and drive data quality and observability across global data