Data Engineer-Data Platform & Analytics

Moody's; Charlotte (NC); On-site; USD 96,000 - 139,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Parental leave

Paid time off

401(k) plan with employer and employee

Life insurance

Disability insurance

Accident insurance

Discounted Employee Stock PurchasePlan

Tuition reimbursement

Job summary

Moody's is seeking a Data Engineer to design, implement, and operate scalable ETL/ELT pipelines within Moody's Databricks ecosystem, onsite in Charlotte, NC, with a yearly salary range of USD 95,500 to 138,550.

The role focuses on building robust data pipelines, collaborating with stakeholders to enforce data contracts and quality, and optimizing performance and costs across AWS/Azure environments.

Qualifications

• Minimum of five years of data engineering experience building and operating production-grade pipelines.
• Strong programming skills in Python, PySpark, Scala, and SQL.
• Experience with configuration- or metadata-driven data pipelines.

Responsibilities

• Lead the design, development, and operation of scalable ETL/ELT pipelines in Moody's Databricks environment.
• Create and manage pipelines to ingest, transform, and publish data across domains.
• Build and optimize data transformations using Python, PySpark, Scala, and SQL.
• Develop configuration-driven and metadata-driven pipeline frameworks for datasets governance.
• Ensure data products are well structured, high-performing, and ready for downstream consumption.
• Collaborate with stakeholders to define data contracts, schemas, SLAs, and quality standards.
• Apply best practices for data reliability, observability, and cost optimization of pipelines.
• Contribute to CI/CD efforts, including automated testing, deployment, and promotion processes.
• Support data governance initiatives, including data quality, lineage, and access controls.

Skills

AI tools awareness

Python

CI/CD concepts

Tools

PySpark

Scala

SQL

Databricks

AWS

Azure

Job description

Moody's is seeking a Data Engineer to design, implement, and operate scalable ETL/ELT pipelines within Moody's Databricks ecosystem, onsite in Charlotte, NC, with a yearly salary range of USD 95,500 to 138,550.

Responsibilities

• Lead the design, development, and operation of scalable ETL and ELT pipelines to enable enterprise and commercial data delivery within Moody's Databricks environment.
• Create and manage scalable pipelines to ingest, transform, and publish data across multiple domains.
• Build and optimize data transformations and validations using Python, PySpark, Scala, and SQL.
• Develop configuration-driven and metadata-driven pipeline frameworks to onboard and govern datasets efficiently.
• Ensure data products are well structured, high-performing, and ready for downstream consumption.
• Collaborate with stakeholders to define data contracts, schemas, SLAs, and quality standards.
• Apply best practices for data reliability, observability, and cost optimization of pipelines.
• Contribute to CI/CD efforts, including automated testing, deployment, and promotion processes.
• Support data governance initiatives, including data quality, lineage, and access controls.

Requirements

• Minimum of five years of data engineering experience building and operating production-grade pipelines.
• Strong programming skills in Python, PySpark, Scala, and SQL.
• Experience designing or working with configuration- or metadata-driven data pipelines.
• Hands-on experience with 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 with AI tools to streamline workflows, with awareness of responsible and ethical AI use.

Technologies

• Python
• PySpark
• Scala
• SQL
• Databricks
• AWS
• Azure

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Parental leave
• Paid time off
• 401(k) plan with employer and employee contributions
• Life insurance
• Disability insurance
• Accident insurance
• Discounted Employee Stock Purchase Plan
• Tuition reimbursement

About the Team

• The team operates within the Enterprise Data Platform CORE, supporting a mission-critical portion of Moody's data estate.
• It is a modern, innovation-driven data engineering group that powers Moody's large financial and corporate databases, enabling data-driven insights and contributing to Moody's leadership in an increasingly AI-enabled landscape.