
10,000+ employees
Founded 1931
💸 Finance
💰 Post-IPO Equity on 2014-01
Insurance • Finance
Allstate is an industry leader in providing insurance solutions, focusing on home, auto, device, and identity protection. With a commitment to customer well-being, Allstate aims to instill peace of mind and financial security for its customers. The company also emphasizes community impact and sustainability through various initiatives, showcasing their dedication to social responsibility and positive change.
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10,000+ employees
Founded 1931
💸 Finance
💰 Post-IPO Equity on 2014-01
Insurance • Finance
Allstate is an industry leader in providing insurance solutions, focusing on home, auto, device, and identity protection. With a commitment to customer well-being, Allstate aims to instill peace of mind and financial security for its customers. The company also emphasizes community impact and sustainability through various initiatives, showcasing their dedication to social responsibility and positive change.
• Lead the design and implementation of scalable data pipelines and ETL workflows • Architect and optimize enterprise data infrastructure using Microsoft Fabric • Partner with stakeholders to translate ambiguous business needs into effective technical solutions • Translate complex technical solutions into clear, actionable insights for business partners • Develop prototypes and lead transition into production-grade systems • Establish and maintain data quality, monitoring, and validation frameworks • Leverage AI/ML tools to enhance automation and insights • Drive change management and adoption of new data solutions • Optimize performance for large-scale data environments • Serve as SME guiding data engineering best practices • Influence data strategy and support evolving business needs
• 5+ years of experience in Data Engineering or related field • Strong expertise in Python, SQL, and Microsoft Fabric • Experience building ETL/ELT pipelines at scale • Experience supporting Data Science and analytics use cases • Experience with AI/ML tools or platforms • Ability to work in a fast-paced environment • Ability to manage ambiguity and prioritize effectively • Strong attention to detail and data quality • Strong communication and stakeholder engagement skills
• Comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse • Monthly connectivity reimbursement to help offset internet costs • Remote work options
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