Senior Data Engineer

The Hanover Insurance Group is looking for a Senior Data Engineer to design, implement, and maintain data integrations and pipelines that support business decisions. This remote-enabled, hybrid role will lead cross-functional data initiatives, mentor engineers, and collaborate with business partners to deliver scalable data and reporting solutions across the organization.

Responsibilities

• Become proficient with all internal and external data produced and consumed by THG.
• Drive larger, more complicated projects independently.
• Mentor less experienced engineers.
• Collaborate with business partners and assume a data/tech lead role on cross-functional teams delivering data/reporting solutions.
• Lead design, development, implementation, optimization, and maintenance of data integrations, pipelines, and solutions.
• Design and implement data solutions utilizing Azure Resources (Azure Data Factory, Azure Synapse, ADLS, etc).
• Have strong experience with data integration, ETL processes, and data warehousing.
• Demonstrate advanced proficiency in SQL, Python, and PowerShell.
• Demonstrate knowledge of data modeling, governance, and data engineering best practices and patterns.
• Apply hands-on experience optimizing data ingestion pipelines and notebooks for scale, performance, reliability, and cost efficiency.
• Demonstrate familiarity with integration connectors (APIs, File, SFTP/FTPS, Streaming Data, DB Connectors, SOAP, REST).
• Demonstrate strong problem-solving, communication, and collaboration skills.
• Create documentation for data processes and solutions.
• Ensure data security and compliance with industry standards.
• Apply experience in agile development methodologies and DevOps best practices.
• Utilize Git/Github for CI/CD.
• Coach, mentor, and provide technical guidance for junior team members.
• Profile and analyze large data sets.
• Apply critical thinking and attention to detail.
• Debug 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.

Requirements

• 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).

Technologies

• Azure Data Factory
• Azure Synapse
• Azure Data Lake Storage (ADLS)
• SQL
• Python
• PowerShell
• APIs
• File-based connectors (SFTP/FTPS, other file connectors)
• Streaming Data
• DB Connectors
• SOAP
• REST
• Git/GitHub
• Power BI
• Microsoft Fabric

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)
• Click here for the full list of Benefits

What you need to apply

• 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.

Career Development

It’s not just a job, it’s a career, and we are here to support you every step of the way. Through on-the-job experiences, personalized coaching and our robust learning and development programs, we encourage you – at every level – to grow and develop.

EEO Statement

The Hanover values diversity in the workplace and among our customers. The company provides equal opportunity for employment and promotion to all qualified employees and applicants on the basis of experience, training, education, and ability to do the available work without regard to race, religion, color, age, sex/gender, sexual orientation, national origin, gender identity, disability, marital status, veteran status, genetic information, ancestry or any other status protected by law.

Privacy Policy

To view our privacy policy and online privacy statement, click here.

Applicants who are California residents

To see the types of information we may collect from applicants and employees and how we use it, please click here.

Compensation

The target hiring range for this role may vary based on geographic location and other factors, including merit or performance, demonstrated proficiency, skills for the role, education, travel requirements, and experience. Additional compensation may include an annual bonus, long-term incentive, or spot recognition awards. The posted range reflects our ability to hire at different position titles and levels depending on background and experience.