Sr Database Engineer Jobs in Colorado (NOW HIRING)

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.

• 5-7 years of experience in data engineering, data warehousing, database administration, or a 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.

• 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

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

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.

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. 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.

Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status,sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody's also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.