Senior Data Engineer: Cloud Data Pipelines for Cybersecurity

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

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Parental leave

Paid time off

401(k) plan with employer contributed

Life insurance

Disability insurance

Accident insurance

Stock purchase plan

Tuition reimbursement

Job summary

Moody's Corporation is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines and ETL processes powering cybersecurity data platforms in a cloud-first environment.

You will develop infrastructure as code with Pulumi/CloudFormation/AWS CDK, implement Python/JavaScript tooling, and collaborate with cybersecurity, compliance, and engineering teams to ensure data quality, reliability, and audit readiness.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field; equivalent combination of education and relevant experience will also be considered
• AWS certifications (e.g., AWS Certified Solutions Architect, Data Analytics Specialty, or similar) are a plus
• Relevant cloud, data engineering, or cybersecurity certifications are 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

Data engineering

ETL pipelines

SQL

Python

JavaScript

AWS

IaC tools

Data modeling

Observability platforms

Education

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

AWS certifications

Cloud/cybersecurity certifications

Tools

Pulumi

CloudFormation

Terraform

AWS CDK

Splunk

Cribl

Job description

Moody's Corporation is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines and ETL processes powering cybersecurity data platforms in a cloud-first environment.

You will develop infrastructure as code with Pulumi/CloudFormation/AWS CDK, implement Python/JavaScript tooling, and collaborate with cybersecurity, compliance, and engineering teams to ensure data quality, reliability, and audit readiness.