AI Cloud Platform Engineer

🕒 Outubro 14

🤠 Texas – Remoto

infoinfo

💵 $85.000 - $145.075 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

☁️ Engenheiro de Cloud

🗣️🇺🇸🇬🇧 Inglês obrigatório

De onde vem esta vaga

Publicada na página de carreiras da Allstate, não em um site de vagas

Vista pela primeira vez pelo Remote Rocketship Outubro 14

Ainda aberta no site da Allstate. Verificada 29 minutos atrás.

Logo of Allstate

Allstate

10.000+ funcionários

Fundada em 1931

💼 Consultoria

📦 Logística

🛡️ Seguros

💰 Post-IPO Equity em 2014-01

Consulting • Logistics • Insurance

A Allstate é uma líder do setor na oferta de soluções de seguros, com foco em proteção de residências, automóveis, dispositivos e identidade. Com um compromisso com o bem-estar dos clientes, a Allstate visa proporcionar tranquilidade e segurança financeira para seus clientes. A empresa também enfatiza o impacto comunitário e a sustentabilidade por meio de várias iniciativas, demonstrando sua dedicação à responsabilidade social e à mudança positiva.

Descrição

• Design, build, and operate scalable, resilient, and high-performance data platforms • Develop and optimize a Unified Data Analytics Platform using cloud-native Microsoft Fabric technologies • Design and implement intelligent, automated, and agentic AI-driven solutions • Enhance security, governance, reliability, and operational excellence of the enterprise data platform • Collaborate with analytics engineers, data architects, data scientists, and product teams • Participate in iteration planning, daily standups, and retrospectives • Help execute product strategy with customer needs and outcomes as priorities • Design scalable systems, applications, and data solutions • Use GitHub Copilot and similar coding assistants for code generation, testing, documentation, and troubleshooting while following enterprise governance standards • Support software products and platforms in production and user environments • Apply paired programming, test-driven development, and modern software engineering practices • Establish and maintain CI/CD pipelines and practices • Design and implement AI-enabled applications, automation workflows, and intelligent developer experiences • Share knowledge and contribute to the team’s collective expertise • Influence platform strategy and deliver solutions enabling trusted, self-service, enterprise-scale data consumption

🎯 Requisitos

• 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 integration and automation • Experience with Microsoft Fabric and Azure platform, or comparable cloud analytics platforms • Experience with Terraform/Jenkins, or comparable CI/CD • Experience implementing CI/CD pipelines, source control, Infrastructure as Code (IaC), and automated testing practices • Familiarity with AI-powered engineering tools and Agentic AI-assisted software development practices • Strong understanding of distributed computing, performance tuning, scalability, fault tolerance, and data reliability • Excellent problem-solving, collaboration, communication, and stakeholder management skills • Background investigation required • Allstate generally does not sponsor individuals for employment-based visas for this position • Dedicated, private workspace free from distractions when working from home • Reliable internet with minimum speeds of 50 MB download and 5 MB upload • Preferred: Experience designing and implementing enterprise data products within Microsoft Fabric • Preferred: Knowledge of data governance and data quality frameworks • Preferred: Cloud or data engineering certifications in Azure, Microsoft Fabric, Databricks, or related technologies • Preferred: 3 or more years of experience

🏖️ Benefícios

• Comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse • Monthly connectivity reimbursement to help offset internet costs for employees eligible to work from home

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