Senior Data Engineer (HYBRID in MA or REMOTE)
Company: The Hanover Insurance Group
Location: Worcester County, MA (Remote)
Type: Contract
Remote: Yes
Posted: 2026-05-22
About this role
For more than 170 years, The Hanover has been committed to delivering on our promises and being there when it matters the most. We live our values every day, demonstrating we CARE through our values, Sustainability initiatives and inclusive corporate culture.
Our Claims Analytics team is currently seeking a Senior Data Engineer to join our growing team in our Worcester, MA office, hybrid or remote work arrangement.
This is a full-time, exempt position.
POSITION OVERVIEW:
Data engineering is the aspect of data science that focuses on practical applications of data collection and analysis. This role primarily will become proficient with all internal & external data produced and consumed by THG.
The engineer will understand where the data is, basic data models and architecture, how to access and obtain data and how to manipulate and work with data to produce output – which may be reports, datasets or self-service reports.
The ideal candidate is a self‑motivated, adaptable, and composed collaborator who learns quickly, thinks with a big‑picture mindset, and leads by example to help set the tone and standards for the team.
IN THIS ROLE, YOU WILL:
- Drive larger, more complicated projects independently and ability to handle multiple projects simultaneously.
- Develop scalable and efficient data models, data structures, and ETL pipelines that support analytics, reporting, and downstream consumption.
- Consistently prioritize data quality by implementing validation checks, monitoring accuracy and completeness, and clearly documenting data pipelines and processes.
- Collaborate with business partners and cross-functional teams on data/reporting requests.
- Be accountable for successful outcomes related to designing, developing, implementing, optimizing, and maintaining data pipelines and solutions.
- Lead with an ownership mindset to design, implement, and continuously improve data governance, controls, and standards, ensuring the...