Let's begin! Data Engineer-Data Platform & Analytics

At Moodys we unite the brightest minds to turn todays risks into tomorrows opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they arewith the freedom to exchange ideas think innovatively and listen to each other and customers in meaningful ways. Moodys is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment were advancing AI to move from insight to actionenabling 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.

Employment eligibility to work in the U.S. is required as Moodys will not pursue visa sponsorship for this position now or in the future.

Skills and Competencies

• Onsite/hybrid in Boca Raton FL
• 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
• Experience working in a Databricks-based data platform
• Solid understanding of data modeling schema evolution and large-scale dataset management
• Experience deploying data solutions in AWS and Azure cloud environments
• 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

Education

Bachelors degree in Computer Science Engineering or a related field or equivalent practicalexperience

Responsibilities

In this role you will be responsible for implementing robust ETL pipelines that make a large anddiverse set of data domain datasets available within our Databricks ecosystem. These datasetssupport internal analytical applications as well as commercial data feed products consumed byexternal clients making reliability scalability and data quality essential.

This position emphasizes configuration-driven data pipeline development using PythonPySpark Scala and SQL allowing efficient onboarding and management of a growing number ofdatasets across multiple domains.

• Develop and maintain scalable ETL/ELT pipelines that ingest transform and publish datasets across multiple data domains
• Implement and extend configuration-based pipeline frameworks to efficiently support numerous datasets with consistent patterns and controls
• 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
• Apply best practices for data reliability observability performance tuning and cost optimization
• 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

About the team

This team is mission critical working on one of the key and challenging components of Data Estates Enterprise Data Platform (CORE). We are a modern forward thinking innovation driven data engineering supporting the largest company and financials database in the world that is the backbone of our companies success in the current and future state Ai dominated financial industry.

For US-based roles only: the anticipated hiring base salary range for this position is$95500.00-$138550.00 depending on factors such as experience education level skills and location. This range is based on a full-time addition to base salary this role is eligible for incentive compensation. Moodys 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.

Moodys 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 statussexual orientation gender identity gender expression genetic information physical or mental disability military or veteran status or any other characteristic protected by law. Moodys 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 . 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 here to view our Notice to New York City Applicants.
Candidates for Moodys Corporation may be asked to disclose securities holdings pursuant to Moodys 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.