Senior Data Engineer

Emploi pas sur LinkedIn

🕒 il y a 14 jours

🌽 Illinois – Distant

🌽 Illinois – Remote

💵 $90 700 - $153 925 / an

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

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Allstate

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1931

💼 Conseil

📦 Logistique

🛡️ Assurance

💰 Post-IPO Equity en 2014-01

Consulting • Logistics • Insurance

Allstate est un leader dans le secteur des solutions d'assurance, se concentrant sur la protection de la maison, de l'automobile, des appareils et de l'identité. Engagée envers le bien-être de ses clients, Allstate vise à assurer la tranquillité d'esprit et la sécurité financière de ses clients. L'entreprise met également l'accent sur l'impact communautaire et la durabilité à travers diverses initiatives, démontrant son engagement envers la responsabilité sociale et le changement positif.

Description

• Design, build, and maintain scalable batch and streaming data pipelines using Apache Spark and cloud‑native data technologies • Develop and optimize ETL/ELT workflows to ingest, transform, and curate data from diverse source systems into analytics‑ready datasets • Implement data modeling and transformation logic to support reporting, dashboards, and downstream analytical and machine learning workloads • Build and manage data processing workloads within modern lakehouse platforms, including Microsoft Fabric / OneLake (preferred) • Ensure data quality, reliability, and consistency by implementing validation checks, monitoring, and reconciliation processes • Optimize Spark jobs for performance, cost efficiency, and scalability across large and complex datasets • Manage and evolve data schemas while handling schema drift and upstream source changes • Develop reusable frameworks, libraries, and standardized patterns to improve data engineering productivity and consistency • Implement CI/CD pipelines for data workloads to enable automated testing, deployment, and rollback • Monitor data pipelines and jobs, troubleshoot failures, and resolve performance or data quality issues • Partner with analytics engineers, BI developers, and data scientists to understand data requirements and deliver curated datasets • Collaborate with platform, security, and governance teams to ensure data security, compliance, and proper access controls • Contribute to Agile delivery processes, including sprint planning, design reviews, and continuous improvement initiatives

🎯 Exigences

• 4+ years of experience in data engineering or equivalent role (preferred) • Strong experience as a Data Engineer building and operating production data pipelines • Hands‑on experience with Apache Spark for large‑scale data processing • Proficiency in Python, SQL, and data transformation best practices • Experience with cloud‑based data platforms and storage (e.g., Data Lakes, Lakehouse architectures) • Familiarity with Microsoft Fabric, OneLake, or similar analytics platforms (strong plus) • Experience designing and optimizing data models for analytical workloads • Understanding of distributed data processing concepts, performance tuning, and fault tolerance • Experience with CI/CD, version control, and infrastructure‑as‑code concepts • Strong problem‑solving skills and ability to troubleshoot complex data issues • Excellent communication skills and ability to collaborate across technical and non‑technical teams

🏖️ Avantages

• Comprehensive technology setup including laptop, monitors, headset, keyboard, and mouse • Monthly connectivity reimbursement to help offset internet costs • 401(k) matching • Health insurance plans • Employee assistance program • Paid time off and holiday pay