Data Analytics Engineer Jobs in Charlotte, NC

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.

Employment eligibility to work in the U.S. is required, as Moody’s will not pursue visa sponsorship for this position

Skills and Competencies

• Five or more years of experience in data engineering, building and operating production-grade data pipelines
• Strong programming experience with Python, PySpark, Scala, and SQL
• Proven experience designing or working with configuration- or metadata-driven data pipelines
• Hands-on experience working within a Databricks-based data platform
• Solid understanding of data modeling, schema evolution, and large-scale dataset management
• Experience deploying and operating data solutions in AWS and Azure cloud environments
• Working knowledge of CI/CD concepts and integrating data pipelines into automated workflows
• Demonstrated proficiency in AI tools to streamline workflows, with awareness of responsible and ethical AI use

Education

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience

Responsibilities

• Develop and operate scalable ETL and ELT pipelines to ingest, transform, and publish data across domains
• Build and optimize data transformations and validations using Python, PySpark, Scala, and SQL
• Implement configuration-driven pipeline frameworks to onboard and manage datasets efficiently
• Ensure data products are structured, performant, and optimized for downstream consumption
• Partner with stakeholders to define data contracts, schemas, SLAs, and quality standards
• Apply best practices for data reliability, observability, and cost optimization
• Contribute to CI/CD practices, including automated testing, deployment, and promotion
• Support data governance initiatives, including data quality, lineage, and access controls

About the Team

For US-based roles only: the anticipated hiring base salary range for this position is $95,500.00 - $138,550.00, 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.

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.