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

Data Engineer

Peabody, MA · On-site

$127.10K - $152.60K/yr

The Data Engineer will embed with Barton's Data Engineering team to work on a variety of data ... Excellent health insurance (low deductible PPO, dental, vision) with discounted gym membership

Data Engineer

Boston, MA · On-site

$124.40K - $149.40K/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 ...

Data Engineer

Boston, MA · On-site

$124.40K - $149.40K/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 ...

Data Engineer

Boston, MA · On-site +1

$124.40K - $149.40K/yr

Specifically for this role we're looking for talented software engineers who know how to get data ... insurance, subsidized T-passes, a great office smack-dab in Boston's Downtown Crossing, a ...

Senior Data Engineer

Boston, MA · Remote

$120K - $160K/yr

Data Engineering Strategy and Architecture:   * Design and implement scalable, reliable, and ... insurance plan options * Health Savings Account and Flexible Spending Accounts * Bi-weekly HSA ...

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 ...

Job#: 3033213 Population Health Data Engineer Location: Remote, with occasional travel to Boston ... other insurance plans that offer an optional layer of financial protection. We offer an ESPP ...

Senior Data Engineer

Boston, MA · On-site +1

$162.55K - $242.35K/yr

Senior Data Engineer POSITION DESCRIPTION : Takeda Development Center Americas, Inc. is seeking a ... S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) ...

Senior Insurance Data Science Consultant

Boston, MA · Remote

$89.10K - $109.50K/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 ...

Senior Data Engineer

Boston, MA

$115.20K - $156.40K/yr

... specialized insurers. Our success is a direct reflection of the talented and diverse people who ... Provide technical leadership to data engineers, setting standards for solution design, coding ...

Senior Data Engineer, Scala New York City, NY Boston, MA Los Angeles, CA Broomfield, CO Seattle, WA ... Disability and Life Insurance * Cell Phone Subsidy * Fitness Reimbursement Company Culture:

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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 May 30, 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.

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.

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.

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 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.

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:
Senior Data Engineer (HYBRID in MA or REMOTE)

Senior Data Engineer (HYBRID in MA or REMOTE)

The Hanover Insurance Group, Inc.

Worcester, MA • On-site, Remote

$101K - $126K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Hanover Insurance rating

8.4

Company rating: 8.4 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

102nd of 259 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 Claims Analytics team is currently seeking a Senior Data Engineer to join our growing team in our Worcester, MA office, hybrid or remote work arrangement.
This is a full-time, exempt position.
POSITION OVERVIEW:
Data engineering is the aspect of data science that focuses on practical applications of data collection and analysis. This role primarily will become proficient with all internal & external data produced and consumed by THG.
The engineer will understand where the data is, basic data models and architecture, how to access and obtain data and how to manipulate and work with data to produce output - which may be reports, datasets or self-service reports.
The ideal candidate is a self-motivated, adaptable, and composed collaborator who learns quickly, thinks with a big-picture mindset, and leads by example to help set the tone and standards for the team.
IN THIS ROLE, YOU WILL:
  • Drive larger, more complicated projects independently and ability to handle multiple projects simultaneously.
  • Develop scalable and efficient data models, data structures, and ETL pipelines that support analytics, reporting, and downstream consumption.
  • Consistently prioritize data quality by implementing validation checks, monitoring accuracy and completeness, and clearly documenting data pipelines and processes.
  • Collaborate with business partners and cross-functional teams on data/reporting requests.
  • Be accountable for successful outcomes related to designing, developing, implementing, optimizing, and maintaining data pipelines and solutions.
  • Lead with an ownership mindset to design, implement, and continuously improve data governance, controls, and standards, ensuring the platform is secure, compliant, and scalable.
  • Prioritize work effectively by balancing business impact, technical risk, and domain knowledge to deliver the highest-value outcomes.
  • Coach and mentor less senior team members, as well as conducting reviews for their work

WHAT YOU NEED TO APPLY:
  • Bachelor's degree or higher in Data Science, Mathematics, Statistics, Computer Science, Information Systems, Business Information Technology, or equivalent
  • 8+ years professional experience in data engineering, data architecture, or data analytics
  • Proficiency in the following languages: Advanced SQL, Python, Java, Scala (nice to have).
  • Proficient in building SQL stored procedures, ETL pipelines using Azure Synapse (Synapse Pipelines / Data Factory).
  • Holds active Azure DP-203 (Microsoft Certified: Azure Data Engineer Associate) or equivalent. Other Azure DP certifications or equivalents are also applicable
  • Familiarity in insurance data (Claims data is highly preferred).
  • Data Modeling: Creation of conceptual, logical, and physical data models for data objects, object attributes, and their relationships
  • Analytical Skills: Data Engineers work with large amounts of data that will include facts, figures, and number crunching. You will need to profile the data and analyze it to find conclusions.
  • Communication Skills: Data engineers are often called to present their findings or translate the data into an understandable document. You will need to write and speak clearly, easily communicating complex ideas.
  • Critical Thinking: Data engineers must look at the numbers, trends, and data and come to new conclusions based on the findings.
  • Attention to Detail: Data is precise. Data engineers must make sure they are vigilant in their analysis to come to correct conclusions.
  • Math Skills: Data engineers need advanced math skills to estimate numerical data. Insurance experience required as well as insurance products.
  • Debugging Skills: Data engineers need the ability to analyze issues with components in our data solutions and come up with remediation plans.
  • Proven experience in data engineering, implementation of best practices for data storage, access, integration, transformation, etc., within Azure
  • Proven experience using Databricks and delta live tables in a data engineering context
  • Experience in optimizing data pipelines to account for scale, performance, reliability, and cost efficiency
  • Demonstrated proficiency in relational, NoSQL, hierarchical, and entity relationship data modeling
  • Experience in creating easy to consume documentation of data processes and solutions to aid in knowledge transfer and continuity.
  • Experienced in agile development methodologies, developing high quality code, and DevOps best practices
  • Must be eligible to work in the United States without requiring sponsorship now or in the future (ie. lawful permanent residence or US citizen)

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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