Senior Data Engineer (REMOTE OR HYBRID MA) jobs in United States
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The Hanover Insurance Group · 1 hour ago

Senior Data Engineer (REMOTE OR HYBRID MA)

positionWorcester, MA
timeFull-time
remoteHybrid
senioritySenior Level
money$100K/yr - $130K/yr
date5+ years exp

The Hanover Insurance Group has been dedicated to delivering on their promises for over 170 years. They are seeking a Senior Data Engineer who will be responsible for designing, developing, and maintaining data integrations and solutions while mentoring less experienced engineers.

Insurance
badNo H1BnoteU.S. Citizen Onlynote

Responsibilities

Proven experience in data engineering and best practices for data storage, integration, transformation, and access within Azure and on-premises platforms
Proven expertise in designing and implementing data solutions utilizing Azure Resources (Azure Data Factory, Azure Synapse, ADLS, etc)
Strong experience with data integration, ETL processes, and data warehousing
Advanced proficiency in SQL, Python, and PowerShell
Proven knowledge of data modeling, governance, and data engineering best practices and patterns
Hands-on experience with optimizing data ingestion pipelines and notebooks for scale, performance, reliability, and cost efficiency
Familiarity with integration connectors (APIs, File, SFTP/FTPS, Streaming Data, DB Connectors, SOAP, REST)
Strong problem-solving, communication, and collaboration skills
Ability to create documentation for data processes and solutions
Ensure data security and compliance with industry standards
Experienced in agile development methodologies and DevOps best practices
Git/Github experience for CI/CD
Coaching, mentoring, and technical guidance for junior team members
Analytical skills for profiling and analyzing large data sets
Critical thinking and attention to detail
Debugging skills for data solution issues
Collaborate with data scientists, analysts, and stakeholders
Monitor and maintain data pipelines
Design, develop, and test data mapping with transformation rules
Ensure data quality and reliability
Develop and maintain documentation for data integration and ETL solutions

Qualification

Data engineeringAzure Data FactorySQLETL processesPythonData warehousingData modelingDevOps best practicesPowerShellAPIsGit/GithubAnalytical skillsCommunication skillsCollaboration skillsCritical thinkingAttention to detail

Required

Proven experience in data engineering and best practices for data storage, integration, transformation, and access within Azure and on-premises platforms
Proven expertise in designing and implementing data solutions utilizing Azure Resources (Azure Data Factory, Azure Synapse, ADLS, etc)
Strong experience with data integration, ETL processes, and data warehousing
Advanced proficiency in SQL, Python, and PowerShell
Proven knowledge of data modeling, governance, and data engineering best practices and patterns
Hands-on experience with optimizing data ingestion pipelines and notebooks for scale, performance, reliability, and cost efficiency
Familiarity with integration connectors (APIs, File, SFTP/FTPS, Streaming Data, DB Connectors, SOAP, REST)
Strong problem-solving, communication, and collaboration skills
Ability to create documentation for data processes and solutions
Ensure data security and compliance with industry standards
Experienced in agile development methodologies and DevOps best practices
Git/Github experience for CI/CD
Coaching, mentoring, and technical guidance for junior team members
Analytical skills for profiling and analyzing large data sets
Critical thinking and attention to detail
Debugging skills for data solution issues
Collaborate with data scientists, analysts, and stakeholders
Monitor and maintain data pipelines
Design, develop, and test data mapping with transformation rules
Ensure data quality and reliability
Develop and maintain documentation for data integration and ETL solutions
Bachelor's degree or higher in Data Science, Mathematics, Statistics, Computer Science, Information Systems, Business Information Technology, or equivalent
5 plus years professional experience in data engineering, data architecture, data integration
Must be eligible to work in the United States without requiring sponsorship now or in the future (i.e., US Citizen or green card holder)

Preferred

Microsoft DP-203 or DP-700 certification
Microsoft Fabric experience
Power BI experience
Master's degree in data science, Mathematics, Statistics, Computer Science, Information Systems, Business Information Technology, or equivalent

Benefits

Medical, dental, vision, life, and disability insurance
401K with a company match
Tuition reimbursement
PTO
Company paid holidays
Flexible work arrangements
Cultural Awareness Day in support of IDE
On-site medical/wellness center (Worcester only)

Company

The Hanover Insurance Group

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The Hanover Insurance Group, Inc., based in Worcester, Mass., is the holding company for several property and casualty insurance companies.
dateFounded in 1852
location
Worcester, Massachusetts, USA
people-size5001-10000 employees
web-link
http://www.hanover.com/

Funding

Current Stage
Public Company
Total Funding
$500M
2025-08-19Post Ipo Debt· $500M
1995-10-20IPO

Leadership Team

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Mark Coderre
Vice President, Deputy CISO
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Kate B. Williams
President, E&S
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Recent News

PR Newswire
The Hanover Enhances Its Offering for Complex Industrial Property Risks
2025-11-03
PR Newswire
The Hanover Reports Record Third Quarter Net Income and Operating Income of $4.90 and $5.09 per Diluted Share, Respectively; Net and Operating Return on Equity of 21.5% and 21.1%, Respectively
2025-10-30
Reuters
US insurance stocks underperformed amid a volatile week for Wall Street
2025-10-20
Company data provided by crunchbase