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Insurance Data Engineer Jobs in Dedham, MA (NOW HIRING)

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... Therefore, we offer a comprehensive benefits package: -Health, Dental, and Vision -Life Insurance ...

Full-time, hybrid opportunity for a Principal Data Engineer based in Boston, MA (3 days/week onsite ... benefits: • Medical Insurance • Vision Benefits • Paid Time Off (PTO) • Equity ...

We're hiring a Principal Data Engineer to join a fast-growing, mission-driven healthcare technology ... Medical Insurance * Dental Benefits * Vision Benefits * Paid Time Off (PTO) * 401(k) * Flexible ...

Sr Data Engineer

Boston, MA · On-site

$140K - $150K/yr

Data Engineering Manager Position Summary Grand Circle Corporation is the leader in international ... Commuter benefits, FSA options, pet insurance, home & auto discounts, and paid volunteer time off ...

Senior Insurance Data Science Consultant

Boston, MA · Remote

$89K - $109K/yr

We are seeking a highly experienced and strategically-minded Senior Insurance Data Science ... Advanced proficiency in programming languages such as Python and R, applied to building, validating ...

A rapidly growing financial technology company is hiring a Principal Data Analytics Engineer to ... Insurance · Dental Benefits · Vision Benefits · 401(k) · Unlimited Paid Time Off (PTO) · ...

This pivotal role will have you innovating and developing groundbreaking digital underwriting features in partnership with our insurance, data, engineering, and machine learning teams. What You'll Do:

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Showing results 1-20

Insurance Data Engineer information

See Dedham, MA salary details

$45.7K

$133.2K

$182.3K

How much do insurance data engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for insurance data engineer in Dedham, MA is $133,245.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,600.00 and $141,200.00 per year, depending on experience, location, and employer.

How much do insurance engineers make?

Insurance data engineers typically earn a median salary ranging from $80,000 to $120,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL can command higher salaries. Compensation may also include benefits such as bonuses and professional development opportunities.

What engineers make $500,000?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership roles. High compensation is often associated with seniority, complex data systems, and working in competitive markets or large organizations.

What are Insurance Data Engineers?

Insurance Data Engineers are professionals who design, build, and maintain data systems that support the needs of insurance companies. They are responsible for collecting, organizing, and processing large amounts of data from various sources to enable accurate risk assessment, pricing, claims analysis, and regulatory compliance. Their work helps insurers make data-driven decisions, improve efficiency, and enhance customer experiences by leveraging modern data technologies.

What are the key skills and qualifications needed to thrive as an Insurance Data Engineer, and why are they important?

To thrive as an Insurance Data Engineer, you need strong expertise in data modeling, ETL processes, and a solid understanding of insurance data structures, typically supported by a degree in computer science, data engineering, or a related field. Proficiency with SQL, Python, big data platforms (like Hadoop or Spark), and experience with cloud data solutions such as AWS or Azure are commonly required, along with certifications like AWS Certified Data Analytics or Google Cloud Data Engineer. Excellent problem-solving, communication, and collaboration skills help you bridge technical and business needs while ensuring data quality. These abilities are essential for building robust data pipelines and enabling accurate data-driven decision making within insurance organizations.

What is the difference between Insurance Data Engineer vs Data Analyst in the insurance industry?

AspectInsurance Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDevelops data pipelines, manages databases, works with big data toolsInterprets data, creates reports, visualizes insights
Employer & Industry UsageInsurance companies, tech firms in insuranceInsurance firms, consulting agencies, analytics companies

Insurance Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data to provide insights. Both roles are essential in the insurance industry but serve different functions in data management and analysis.

How does an Insurance Data Engineer typically collaborate with actuarial and underwriting teams?

Insurance Data Engineers work closely with actuarial and underwriting teams to ensure that the data infrastructure supports accurate risk assessment and pricing models. They often translate business requirements from these teams into technical specifications, build data pipelines to source and clean relevant data, and assist in implementing predictive analytics tools. Regular communication and collaboration are essential, as data engineers help bridge the gap between raw data and actionable insights for decision-making. This teamwork not only streamlines workflow but also enables continuous improvement of insurance products and customer experience.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, manage, and oversee data infrastructure. Data engineers are essential for building scalable data pipelines, ensuring data quality, and implementing AI solutions effectively. Their expertise remains critical in managing complex data environments and integrating AI tools into business processes.

What engineers make 300,000 a year?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $300,000 or more annually, especially with extensive experience, advanced skills in SQL, Python, cloud platforms, and certifications. High-level roles often involve leadership, complex data architecture, and strategic decision-making, typically in large organizations or with specialized expertise.
What are popular job titles related to Insurance Data Engineer jobs in Dedham, MA? For Insurance Data Engineer jobs in Dedham, MA, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Dedham, MA look for? The top searched job categories for Insurance Data Engineer jobs in Dedham, MA are:
What cities near Dedham, MA are hiring for Insurance Data Engineer jobs? Cities near Dedham, MA with the most Insurance Data Engineer job openings:
Infographic showing various Insurance Data Engineer job openings in Dedham, MA as of July 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 80% In-person, 14% Hybrid, and 6% Remote job distribution, with an average salary of $133,245 per year, or $64.1 per hour.
Associate Data Engineer / Data Engineer II / Senior Data Engineer (REMOTE)

Associate Data Engineer / Data Engineer II / Senior Data Engineer (REMOTE)

The Hanover Insurance Group, Inc.

Worcester, MA • On-site, Remote

$60K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Hanover Insurance rating

8.3

Company rating: 8.3 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

110th of 281 rated insurance


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:HRServices@hanover.com and include the link of the job posting in which you are interested.
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 (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.

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