Moody's Investors Service
Let's begin! Senior Data Engineer- Cybersecurity (14168)
Golden, Colorado · Senior · Full-time
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$22,090 more — $138,590 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $138,590 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Computer Occupations, All Other" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Computer Occupations, All Other (15-1299) · Denver-Aurora-Centennial, CO. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Green-card follow-through: 33%
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- By joining our team, you will be part of exciting work at the intersection of data engineering, cloud technologies, and cybersecurity, leveraging AWS, Azure, and modern data platforms.
- As Moody's continues to advance its AI capabilities, our team plays a critical role in delivering the trusted, scalable, and high-quality data foundations that power analytics, automation, and AI-driven insights.
- For US-based roles only: the anticipated hiring base salary range for this position is $116,500.00 - $169,000.00, depending on factors such as experience, education, level, skills, and location.
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
Nice to have
- 5-7 years of experience in data engineering, data warehousing, database administration, or a related discipline.
- Proficiency in SQL and hands-on experience with relational databases and data warehouse technologies.
- 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.
- Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field
- AWS certifications (e.g., AWS Certified Solutions Architect, Data Analytics Specialty, or similar) are a plus
Compensation
- For US-based roles only: the anticipated hiring base salary range for this position is $116,500.00 - $169,000.00, depending on factors such as experience, education, level, skills, and location.
- In addition to base salary, this role is eligible for incentive compensation.
Company info
- Our Cybersecurity Data Management team is responsible for building, deploying, and operating the platforms and pipelines that collect, transform, route, and analyze security event data across Moody's environment.
- Our team enables cybersecurity detection and response, supports regulatory audit and compliance requirements, and delivers cybersecurity risk metrics that help protect the organization.
- For US-based roles only:
- the anticipated hiring base salary range for this position is $116,500.00 - $169,000.00, depending on factors such as experience, education, level, skills, and location.
- This range is based on a full-time position.
- In addition to base salary, this role is eligible for incentive compensation.
- Moody's also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.
This listing is sourced directly from Moody's Investors Service's careers page and normalized into a canonical job model.