Data Engineer (Associate to Senior Level) – Remote

The Hanover Insurance Group; Massachusetts; On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Medical, dental, vision, life, and disability insurance

401K with a company match

Tuition reimbursement

PTO

Flexible work arrangements

Cultural Awareness Day

Job summary

The Hanover Insurance Group is looking for Data Engineers at multiple levels to help enhance data solutions. Responsibilities include designing, building, and optimizing data pipelines while ensuring data quality and governance. Ideal candidates will have a degree in Data Science, proficiency in SQL and Python, and experience with Azure platforms.

This full-time role offers opportunities for career development and comprehensive benefits, including medical, dental, vision insurance, and tuition reimbursement.

Qualifications

• Experience with data engineering, ETL/ELT, and data modeling.
• Proficiency in SQL and Python (advanced at senior levels).
• Passion for building high-quality, reliable data solutions.

Responsibilities

• 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, and Databricks.

Skills

SQL

Python

Data modeling

ETL

Cloud data platforms (Azure)

Problem-solving

Communication

Collaboration

Education

Degree in Data Science, Computer Science, or related field

Tools

Azure Data Services

Databricks

Power BI

Job description

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 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

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

Career Development

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

Benefits

We offer comprehensive benefits to help you be healthy, build financial security, and balance work and home life. At The Hanover, you’ll enjoy what you do and have the support you need to succeed.

Benefits include:

• 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

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.
Furthermore, The Hanover Insurance Group is committed to providing an equal opportunity workplace that is free of discrimination and harassment based on national origin, race, color, religion, gender, ancestry, age, sexual orientation, gender identity, disability, marital status, veteran status, genetic information or any other status protected by law.

As an equal opportunity employer, Hanover does not discriminate against qualified individuals with disabilities. Individuals with disabilities who wish to request a reasonable accommodation to participate in the job application or interview process, or to perform essential job functions, should contact us at: [e-mail] and include the link of the job posting in which you are interested.

Privacy Policy

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Applicants who are California residents

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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 (which could take the form of a general bonus, sales incentive, or short‑term incentive), 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.