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Data Engineer-Data Platform & Analytics
Job in
Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listed on 2026-08-22
Listing for:
Moody's
Full Time
position Listed on 2026-08-22
Job specializations:
-
Software Development
Data Engineering, Python, SQL Developer
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.
- 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.
- Python
- Py Spark
- Scala
- SQL
- Databricks
- AWS
- Azure
- 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
- 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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