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Data Engineer-Data Platform & Analytics

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Moody's
Full Time position
Listed on 2026-08-22
Job specializations:
  • Software Development
    Data Engineering, Python, SQL Developer
Salary/Wage Range or Industry Benchmark: 95500 - 138550 USD Yearly USD 95500.00 138550.00 YEAR
Job Description & How to Apply Below

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
  • Py Spark
  • 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.
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