Data Engineer – Associate to Senior Level

🔥 3 minutes ago

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Logo of The Hanover Insurance Group

The Hanover Insurance Group

5001 - 10000 employees

Founded 1852

🛡️ Insurance

🤝 B2B

👥 B2C

🔥 Funding within the last year

💰 $500M Post-IPO Debt - The Hanover Insurance Group on 2025-08

Insurance • B2B • B2C

The Hanover Insurance Group is a U. S. -based insurance company that provides personal and commercial insurance products and services. Hanover offers individual lines such as home, auto, motorcycle, umbrella, condominium, renters, and specialty coverages (collector cars, watercraft, valuable items), as well as comprehensive business products including business owner’s policies, commercial auto, workers' compensation, management liability, cyber, professional liability, property, surety, and industry-specific coverages for construction, healthcare, life sciences, retail, and more. The company supports customers and agents with claims services, policy management tools, educational resources, risk solutions, and an agent/broker distribution network. Hanover emphasizes customer service, preparedness resources, corporate responsibility, and agent support.

📋 Description

• Design, build, and optimize data pipelines and ETL workflows • Develop scalable data models, data structures, and data integrations • Work with modern cloud platforms including Azure Synapse, Data Factory, Data Lake, and Databricks • Ensure data quality, governance, security, and compliance • Partner with business stakeholders, analysts, and data scientists • Contribute to or lead complex, cross-functional data initiatives • Improve platform reliability through monitoring, validation, and automation • Create clear documentation, runbooks, and data lineage • Mentor junior engineers (Senior-level roles)

🎯 Requirements

• Degree in Data Science, Computer Science, or a related field • Must be eligible to work in the US without requiring any sponsorship, now or in the future (Law Permanent Residence or US Citizen) • Experience with data engineering, ETL/ELT, and data modeling • Proficiency in SQL and Python (advanced at senior levels) • Strong problem-solving, communication, and collaboration skills • Experience with cloud data platforms (Azure preferred) • Passion for building high-quality, reliable data solutions.

🏖️ Benefits

• Professional development • flexibility • remote work options

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