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Salary Not Available Data Engineer (REMOTE - various levels)

The Hanover Insurance Group Inc.

Occupation:

Data Scientists

Location:

Worcester, MA - 01612

Job Type:

Full Time (30 Hours or More)

Posted:

09/22/2026

Positions available: 1

Source:

The Hanover Insurance Group Inc.

Web Site:

www.hanover.com

Onsite /

Remote:

Work at home all of the time

Job #: 19850

Job Requirements and Properties

Help for Job Requirements and Properties. Opens a new window. Telework & Remote

Full Time Schedule

Full Time

Job Description

Help for Job Description. Opens a new window. Our Enterprise Data & Analytics, Claims Analytics, and Technology teams are growing—and we're looking for Data Engineers at multiple levels to help power the future of data at The Hanover.

POSITIONS OVERVIEW

In these roles, you will play a key part in designing and delivering scalable, secure, and high-performing data solutions that enable analytics, reporting, and strategic decision-making across the organization. You'll work hands-on with modern data platforms and collaborate with cross-functional partners to transform complex data into actionable insights. Whether you're early in your career building foundational skills or an experienced engineer leading enterprise-scale initiatives, you'll contribute to a data-driven culture by developing reliable pipelines, advancing data quality and governance, and continuously improving our cloud-based data ecosystem. These are full-time, exempt roles.

POSITIONS SUMMARY

Depending on your level, you'll: 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) Technology Stack includes: Azure Data Services (Synapse, Data Factory, ADLS) Databricks, Delta Tables, Spark / PySpark SQL / T-SQL, Python (plus Java/Scala in some teams) Power BI and analytics tools CI/CD via GitHub / Azure DevOps Associate Data Engineer (0-2 years) Build foundational skills in ETL, cloud data platforms, and data architecture Work alongside experienced engineers to deliver scalable solutions Ideal for candidates with strong SQL/Python fundamentals and a passion for learning Data Engineer II (up to 5+ years) Own development of pipelines, models, and datasets Drive improvements in data quality, governance, and performance Work independently across multiple projects with business impact Senior Data Engineer (5+ years) Lead complex data initiatives and architectural decisions Design enterprise-scale data solutions in Azure Mentor engineers and help establish best practices Drive innovation in reliability, scalability, and cost efficiency Additional Information

Help for Additional Information. Opens a new window.

WHAT YOU NEED TO APPLY

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

BONUS POINTS FOR

Azure certifications (DP-203, DP-700) Databricks / Data Lake experience Power BI or analytics experience Insurance or claims data knowledge