Infrastructure and Automation Engineer Intern

The Infrastructure and Automation Engineer Intern will support the Property Claims Optimization & Operational Design team as we modernize data platforms and automation across Microsoft Azure, Microsoft Fabric, and high-performance on-prem Linux environments.

This internship is designed for students or recent graduates pursuing education in computer science, engineering, data, cloud, or related technical fields who are eager to gain hands-on experience working on real, production-level systems. The intern will learn how modern cloud infrastructure, automation, and data pipelines are designed, deployed, and supported in an enterprise environment.

No prior professional experience is required — curiosity, willingness to learn, and foundational technical knowledge are key.

What You’ll Learn & Work On

Cloud & Platform Fundamentals (Azure + Microsoft Fabric)

• Learn how Azure cloud resources are designed and managed, including:
  • Azure Data Lake Storage (ADLS Gen2)
  • Event Hub
  • Azure Function Apps
  • Azure SQL Managed Instances
• Gain exposure to Infrastructure as Code concepts using Terraform and GitHub-based workflows.
• Assist with Microsoft Fabric workloads, including:
  • Lakehouse ingestion
  • Fabric pipelines
  • OneLake shortcuts
  • Introductory real-time data streaming patterns
• Observe and support secure cloud-to-cloud vendor integrations using modern authentication and automation techniques.

On-Prem & Automation Foundations (Linux + Python)

• Learn how a high-performance Linux environment is used to support automation and data processing.
• Assist in developing and supporting Python-based automation and ETL scripts, including:
  • File ingestion and transformation
  • API data retrieval
  • Scheduled job execution
• Gain exposure to workflow orchestration tools (such as Airflow) and automation best practices.
• Learn basic monitoring, logging, and troubleshooting techniques for data services.

Data Engineering & Analytics Exposure

• Support data engineering efforts that power:
  • Operational dashboards
  • Automated reporting
  • Real-time insights for Property Claims operations
• Learn how data flows across systems such as:
  • Oracle
  • SQL Server
  • Snowflake
  • Cloud storage platforms
• Collaborate with experienced engineers, analysts, and architects while contributing to real project deliverables.

Who This Internship Is For

This role is ideal for someone who:

• Is pursuing or has recently completed a degree in:
  • Computer Science
  • Data Engineering
  • Information Systems
  • Software Engineering
  • Cloud / IT-related disciplines
• Enjoys problem-solving and learning how systems work end-to-end
• Is curious about cloud platforms, automation, and modern data architecture
• Thrives in a collaborative, fast-moving technical environment

Foundational Qualifications

• Coursework or academic experience in one or more of the following:
  • Python or another programming language
  • SQL or database concepts
  • Cloud computing fundamentals
  • Linux or operating systems concepts
• Familiarity (academic or personal projects) with:
  • APIs
  • Data processing
  • Automation or scripting
• Strong desire to learn, ask questions, and grow technical skills

Nice to Have (Not Required)

• Exposure to any of the following through coursework or projects:
  • Microsoft Azure
  • Terraform or Infrastructure as Code concepts
  • Microsoft Fabric or data platforms
  • GitHub or version control
  • Event streaming concepts (Event Hub, Kafka)
  • ETL or data pipelines