AI Cloud Platform Engineer: Fabric & AI Data Platform

Allstate; Clifton (TX); On-site; USD 85,000 - 145,000; Full time

Job summary

Allstate is seeking an AI Cloud Platform Engineer to design, build, and operate scalable data platforms using Microsoft Fabric. You will implement intelligent AI-driven solutions, contribute to CI/CD pipelines, and collaborate with analytics, data science, and product teams to enable enterprise-scale data consumption.

Join a team driving enterprise AI platforms and governance, with strong emphasis on security, reliability, and performance in a cloud-native environment.

Qualifications

• 3+ years of experience as a Data Engineer building and supporting enterprise-scale data platforms and pipelines.
• Advanced proficiency in Python, SQL, and modern data engineering practices.
• Strong hands-on experience with GitHub, Key vault, and REST API integrations.
• Experience with Microsoft Fabric and Azure platform, or comparable cloud analytics platforms.

Responsibilities

• Participates in iteration planning to ensure the team shares a common understanding of backlog stories, features, and technical chores.
• Helps execute the product strategy with customer needs and outcomes as priorities.
• Works with team members to design scalable systems, applications, and data solutions.
• Establishes and maintains CI/CD pipelines and practices.
• Applies paired programming, TDD, and modern software engineering practices to deliver high-quality solutions.

Skills

Python

SQL

GitHub Copilot

CI/CD

Tools

GitHub

Key vault

REST API

Terraform

Jenkins

Microsoft Fabric

Azure

Job description

Allstate is seeking an AI Cloud Platform Engineer to design, build, and operate scalable data platforms using Microsoft Fabric. You will implement intelligent AI-driven solutions, contribute to CI/CD pipelines, and collaborate with analytics, data science, and product teams to enable enterprise-scale data consumption.

Join a team driving enterprise AI platforms and governance, with strong emphasis on security, reliability, and performance in a cloud-native environment.