Data Engineer-Data Platform & Analytics

About the role

This role is responsible for designing, implementing, and operating scalable ETL and ELT pipelines to support enterprise and commercial data delivery within Moody’s Databricks ecosystem. 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.

Responsibilities

• Design, implement, and operate scalable ETL and ELT pipelines to support enterprise and commercial data delivery within Moody’s Databricks ecosystem.
• 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.

Requirements

• 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.
• Solid understanding of data modeling, schema evolution, and large-scale dataset management.
• Hands-on experience working within a Databricks-based data platform.
• Experience deploying and operating data solutions in AWS and Azure cloud environments.
• Demonstrated proficiency in AI tools to streamline workflows, with awareness of responsible and ethical AI use.

Qualifications

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

Skills

• Strong programming experience with Python, PySpark, Scala, and SQL.
• Hands-on experience working within a Databricks-based data platform.
• Experience deploying and operating data solutions in AWS and Azure cloud environments.
• Proven experience designing or working with configuration- or metadata-driven data pipelines.
• Experience with 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.

Benefits

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.