Data Engineer

The Hanover Insurance Group

. Design, build, and optimize data pipelines and ETL workflows .

Posted 9/23/2026full-timeRemote • Massachusetts • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing data pipelines, ETL workflows, and scalable data models using Azure technologies. Proven ability to ensure data quality, governance, and compliance while mentoring junior engineers and leading complex data initiatives.

Highest-signal resume keywords

Data EngineeringETL/ELTSQLPythonAzure Synapse

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData IntegrationData QualityData GovernanceData SecurityData Pipeline OptimizationCloud Data PlatformsAutomationMonitoringDocumentation

Soft Skills

Problem-SolvingCommunicationCollaboration

Tools & Technologies

Azure Data FactoryAzure Data LakeDatabricksPower BI

Certifications & Qualifications

DP-203DP-700

Industry Keywords

Insurance DataClaims Data

Tech Stack

Tools & technologies

AzureCloudETLPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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