Data Engineer

🔥 0 minutes ago

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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The Hanover Insurance Group

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1852

🛡️ Insurance

🤝 B2B

👥 B2C

💰 $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 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 documentation, runbooks, and data lineage • Mentor junior engineers in senior-level roles • Build foundational skills and work alongside experienced engineers at associate level • Own pipelines, models, and datasets and drive quality, governance, and performance improvements at Data Engineer II level • Lead complex data initiatives and architectural decisions, design enterprise-scale Azure solutions, establish best practices, and drive reliability, scalability, and cost efficiency at senior level

🎯 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 • Azure certifications (DP-203, DP-700) are bonus points • Databricks / Data Lake experience is a bonus point • Power BI or analytics experience is a bonus point • Insurance or claims data knowledge is a bonus point • Associate Data Engineer: 0–2 years; Data Engineer II: up to 5+ years; Senior Data Engineer: 5+ years