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.
Employer: Moody’s Analytics, Inc.
Title: Asst Dir-Data Engineer
Location: 7 World Trade Center, 250 Greenwich Street, New York, NY 10007 (Principal place of business – telecommuting permitted)
Duties: Design, implement, and maintain robust, scalable, and optimal data pipeline architectures. Integrate and transform large, complex datasets from diverse sources to meet functional and non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery pipelines, and re-designing infrastructure for greater scalability and efficiency. Ensure reliability, quality, and performance of data pipelines through comprehensive monitoring, logging, alerting, and implementing automated retry and failure detection mechanisms. Build and manage core infrastructure required for optimal data extraction, transformation, loading (ETL/ELT), and storage, leveraging a variety of data tools and cloud services. Design and build abstractions and frameworks over underlying big data processing and execution stack. Develop and manage processes and infrastructure for complete lifecycle of datasets, including data modeling standards, schema evolution, metadata management, data lineage, dependency tracking, and workload management. Build internal services, tools, and platforms to empower in-house partners to implement, deploy, manage, and analyze datasets with a high degree of autonomy and minimal friction (self-service analytics). Implement and uphold data governance policies, data quality standards, and security best practices across the data platform, ensuring compliance with relevant regulations. Collaborate closely with data scientists, analysts, software engineers, and product managers to understand data needs, gather requirements, and deliver effective platform solutions. Create and maintain clear documentation for data pipelines, platform architecture, processes, and user guides. Evaluate, prototype, and recommend new technologies, tools, and approaches to continuously improve the data platform's capabilities, performance, and cost-effectiveness. Telecommuting Permitted (100% telecommuting position. Will consider applicants resident in the continental U.S.).
Requirements: Requires a Master’s degree or foreign equivalent in Computer Science, Information Systems, or a related technical field plus two (2) years of experience as a Data Engineer, Data Analyst, or in a related position implementing data quality best practices and data governance principles. Must have experience with the following: performing programming, design, and architectural patterns within data engineering or software development; designing, developing, and maintaining data integration/ETL pipelines from various sources and formats; working with development tools and programming languages such as Postman, R, Python, and PySpark; using advanced libraries such as Pandas, NumPy, Scikit, NLP, MatPlotLib, NetworkX, and Boto3; working with RDBMS (such as MS SQLServer, MySQL, and Postgresql), Data Warehouses (such as Snowflake or Redshift), Databricks, IDEs, Jupyter Notebook, GitHub, Jenkins, and Jira; designing and developing Microservices with RESTful Service API; creating dashboards using Power BI, Tableau, or related tools; applying knowledge of Cloud services infrastructure, including IAM policy, S3 buckets, and Lambda functions; and performing Table Partitioning and conducting SQL tuning. Telecommuting Permitted (100% telecommuting position. Will consider applicants resident in the continental U.S.).
For US-based roles only: the anticipated hiring base salary range for this position is $118,102 to $202,750, 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.
To apply, please submit resume through careers.moodys.com or via e-mail at hrbox28@moodys.com. Please refer to Job Ref. 10973.
For US-based roles only: the anticipated hiring base salary range for this position is $139,900.00 - $202,750.00, 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.
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.