Cloud Engineer

Moody's Corporation

Contract$145,000 – $185,000

Apply directly on Moody's Corporation’s careers site — no account needed.

About the role

Moody's Corporation - Databricks Cloud Engineer

Location: 7 World Trade Center, 250 Greenwich Street, New York, NY 10007

Onsite: Hybrid 2 days a week onsite

Compensation: 145k-185k

Benefits: Medical, Dental, Vision, 401K, Equipment, ect.


*Moody’s is looking for an Azure Cloud Engineer with experience integrating Databricks with Azure infrastructure services. This is NOT a Data Engineer – this is someone who has worked on the infrastructure of the Azure platform and has integrated Databricks into the various services within Azure infrastructure.*



Required Skills

  • Strong proficiency with core Azure infrastructure services.
  • Background in Platform Engineering.
  • Hands-on experience with Databricks infrastructure
  • E xperience integrating Databricks with Azure infrastructure services (Event hub, CosmosDB, etc.)
  • Hands-on experience with Cosmos DB and related Azure data services.
  • Proficiency in scripting and automation using PowerShell , Python , or Azure CLI .
  • Understanding of Azure security, role-based access control (RBAC), and networking


About the Role

We are seeking a Cloud Azure Engineer with a strong background in cloud infrastructure and a specialization in data services . This role is ideal for someone with deep experience in managing Azure-based data systems, including Cosmos DB , and a passion for building scalable and secure data platforms.


Key Responsibilities

  • Deploy, configure, and manage Azure infrastructure including VMs , storage accounts , virtual networks , and network security groups .
  • Design and manage scalable data solutions using Azure services such as Cosmos DB , Azure SQL , and Data Lake Storage .
  • Implement best practices in data availability, redundancy, backup, and disaster recovery.
  • Support data ingestion, transformation, and storage pipelines in collaboration with data engineers.
  • Monitor performance and optimize database and storage configurations.
  • Automate infrastructure deployment using ARM templates , Terraform , or Bicep .
  • Collaborate with cross-functional teams in Agile environments using Jira and GitHub .



Description sourced from the public LinkedIn listing — this role isn't indexed from the company's career page yet.

Skills

  • Azure
  • Databricks
  • Python
  • Terraform
  • Jira

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