Job details
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.
- Proven experience in data engineering, including the design, development, and optimization of scalable data pipelines and architectures
- Hands-on expertise with AWS data engineering services such as Amazon S3, Glue, Redshift, EMR, Lambda, and related cloud-native tools
- Strong proficiency in Python for data pipeline development, automation, and transformation logic
- Solid experience with Apache Spark for large-scale, distributed data processing and Spark-based ETL frameworks
- Advanced SQL skills with the ability to write complex queries, optimize performance, and work across relational and analytical data stores
- Strong analytical thinking and problem-solving ability, with experience translating complex data requirements into actionable engineering solutions
- Excellent communication skills with the ability to collaborate effectively across technical and non-technical stakeholders
- 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
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field required; advanced degree preferred
- Design, develop, and maintain robust, scalable data pipelines using Python, Apache Spark, and AWS cloud-native technologies
- Architect and implement ETL and ELT solutions that support data ingestion, transformation, and delivery across multiple data domains
- Collaborate with data scientists, analysts, and product teams to understand data requirements and translate them into reliable engineering solutions
- Optimize SQL queries and data models to improve performance, reliability, and cost efficiency across analytical platforms
- Build and maintain AWS data infrastructure including services such as Glue, RDS, S3, Iceberg, Step Functions, EventBridge, Lambda, MSK (Kafka), EKS, and Redshift
- Ensure data quality, integrity, and consistency through the development of monitoring, validation, and alerting frameworks
- Apply analytical thinking to identify data bottlenecks, propose solutions, and drive continuous improvement across data systems
- Leverage AI tools to automate workflows, enhance data engineering processes, and contribute to the team’s innovation initiatives
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.
Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement. Click here to view our Notice to New York City Applicants.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
