Property Claims - Infrastructure, Data, and Automation Engineer Senior Consultant - Remote

Allstate Insurance Company

$75K — $130K *
US-AnywhereRemote in Virginia, US
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in cloud and data engineering roles
  • Proficiency in Python for data processing and automation tasks
  • Familiarity with Microsoft SQL Server and Oracle database technologies
  • Experience using Terraform or similar Infrastructure-as-Code tools
  • Working knowledge of Microsoft Azure services and Fabric
  • Strong skills in implementing ETL/ELT processes
  • Experience with secure vendor integrations via API and SFTP

Responsibilities

  • Design and maintain Azure resources like ADLS Gen2 and Azure SQL
  • Develop Infrastructure-as-Code solutions with Terraform
  • Implement CI/CD practices for infrastructure delivery
  • Build solutions using Microsoft Fabric Lakehouse and Real-Time Analytics
  • Support on-premises Linux environments and related workloads
  • Create Python-based ETL automation solutions
  • Deliver real-time insights and advanced analytics capabilities

Benefits

  • Comprehensive technology setup including laptop and monitors
  • Monthly reimbursement for home internet connectivity
  • Remote work flexibility with requirements for a private workspace
  • Support for a dedicated workspace setup at home
  • Background investigation required prior to hiring
Full Job Description
We are seeking an Infrastructure, Data, and Automation Engineer to play a key technical role in advancing Property Claims' cloud-first data initiatives and automation strategy across Microsoft Fabric, Azure, AWS and on-premises Linux environments. This role will design, build, and maintain scalable, secure infrastructure and automation solutions that enable real-time decisioning, operational reporting, advanced analytics, and vendor integrations across the Property line of business.

Key Responsibilities

Cloud Engineering
  • Design, provision, and maintain Azure resources including ADLS Gen2, Event Hub, Function Apps, networking components, and Azure SQL Managed Instance.
  • Develop and manage Infrastructure-as-Code using Terraform and Env0.
  • Support GitHub-based CI/CD integration for infrastructure and application delivery.
  • Build and maintain solutions across Microsoft Fabric Lakehouse, OneLake, Pipelines, and Real-Time Analytics.
  • Enable secure vendor integrations through SFTP and API-based patterns

On-Premises Engineering
  • Support Linux-based engineering environments and operational workloads.
  • Develop Python-based ETL processes and automation solutions.
  • Manage and support Airflow orchestration for data pipeline execution.
  • Integrate with Oracle, SQL Server, Snowflake, AWS S3, ADLS, and OneLake platforms.
  • Support secure SFTP and PGP-encrypted data exchanges.

Data Engineering and Analytics
  • Deliver real-time operational insights and automated reporting capabilities.
  • Support predictive modeling and advanced analytics initiatives.
  • Contribute to data platform modernization across cloud and on-premises environments.
  • Partner with internal teams and external vendors to deliver end-to-end engineering solutions.
Preferred Qualifications
  • Strong Python skills, particularly within data engineering, ETL, and automation use cases.
  • Experience with Microsoft SQL Server, including query development and data modeling.
  • Experience working with Oracle databases.
  • Familiarity with Microsoft Azure services such as Event Hub and ADLS storage.
  • Experience with Terraform or other Infrastructure-as-Code tooling.
  • Working knowledge of Microsoft Fabric.
  • Experience designing, building, or supporting ETL/ELT pipelines.
  • Experience supporting external vendor integrations.
Preferred Experience
  • SFTP integration and secure file-transfer patterns.
  • API-based vendor or system integrations.
  • Hybrid cloud and on-premises engineering.
  • Cross-platform data movement across cloud storage, databases, and analytics platforms.
Supervisory Responsibilities
• This job does not have supervisory duties.

#LI-MS3

Skills
Ad Hoc Analysis, Advanced Analytics, Business Influence, Cloud Engineering, Critical Thinking, Data Analysis, Data Build Tool, Data Engineering, Python (Programming Language), Structured Query Language (SQL)

Compensation
Compensation offered for this role is $75,100 - $130,200 and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.

When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.

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