Data Engineer-Data Platform & Analytics

About the role

Moody's Corporation is collaborating with hackajob to find exceptional professionals for this role. 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.

Responsibilities

• Implement robust ETL pipelines that make a large and diverse set of data domain datasets available within our Databricks ecosystem.
• Develop and maintain scalable ETL/ELT pipelines that ingest, transform, and publish datasets across multiple data domains.
• Build data transformations and validations using Python, PySpark, and SQL within Databricks.
• Ensure data products are well-structured, performant, and optimized for downstream consumption by internal teams and external commercial clients.
• Partner with data producers, platform teams, and consumers to define data contracts, schemas, SLAs, and quality standards.
• Contribute to and follow CI/CD practices for data pipelines, including automated testing, deployment, and promotion across environments.
• Develop and operate data pipelines in cloud environments, with hands-on experience across AWS and Azure.
• Produce and maintain clear technical documentation for pipelines, configurations, and operational processes.
• Support data governance initiatives, including data quality, lineage, and access management.

Requirements

• 5+ years of experience in data engineering, building and operating production data pipelines.
• Strong hands-on experience with: Python, PySpark, Scala, SQL.
• Proven experience designing or working with configuration-driven or metadata-driven data pipelines.
• Solid understanding of data modeling, schema evolution, and large-scale dataset management.
• Experience working in a Databricks-based data platform.
• Working knowledge of CI/CD concepts and experience integrating data pipelines into automated delivery workflows.
• Strong collaboration and communication skills, with the ability to work across global, cross-functional teams.
• 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.

Preferred Experience

• Using dbt for data transformations, testing, and documentation.
• Familiarity with data governance, cataloging, and lineage tools.
• Experience supporting externally facing or commercial data products.
• Exposure to infrastructure-as-code or platform automation tooling.
• Knowledge of data quality frameworks and monitoring solutions.

Skills and Competencies

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Strong hands-on experience with Python, PySpark, Scala, and SQL.
• Proven experience designing or working with configuration-driven or metadata-driven data pipelines.
• Experience working in a Databricks-based data platform.
• Working knowledge of CI/CD concepts and experience integrating data pipelines into automated delivery workflows.
• Strong collaboration and communication skills, with the ability to work across global, cross-functional teams.
• 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.

Benefits

This role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including 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.