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

Contact Government Services, LLC

Data Engineer

Boston, MA · On-site

$112K - $152K/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 ...

Contact Government Services, LLC

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 ...

Motion Recruitment

Principal Data Engineer

Boston, MA · On-site

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 ...

Motion Recruitment

Principal Data Engineer

Boston, MA · On-site

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 ...

Grand Circle LLC

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 ...

Earnix

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 ...

Motion Recruitment

Principal Data Engineer

Boston, MA · On-site

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) · ...

Next Insurance

AI Underwriting Data Manager

Boston, MA · On-site

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:

Motional

Senior Data Engineer

Boston, MA · On-site +1

$159K - $207K/yr

We are seeking a highly skilled and motivated Senior Data Analysis Engineer for our large-scale AI ... life insurance, pet insurance, and more. Salary Range $159,000-$207,000 USD Motional is a ...

Motional

Senior Data Engineer

Boston, MA

$159K - $207K/yr

We are seeking a highly skilled and motivated Senior Data Analysis Engineer for our large-scale AI ... life insurance, pet insurance, and more. Salary Range $159,000--$207,000 USD Motional is a ...

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Showing results 1-20

All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Boston, MA

Insurance Data Engineer information

See Boston, MA salary details

$48.3K

$140.9K

$192.8K

How much do insurance data engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for insurance data engineer in Boston, MA is $140,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $149,400.00 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 Boston, MA? For Insurance Data Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Boston, MA look for? The top searched job categories for Insurance Data Engineer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Insurance Data Engineer jobs? Cities near Boston, MA with the most Insurance Data Engineer job openings:
Insurance Data Engineer jobs near you
Infographic showing various Insurance Data Engineer job openings in Boston, 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 $140,924 per year, or $67.8 per hour.
Data Engineer (remote)

Data Engineer (remote)

Human Services Research Institute

Cambridge, MA • On-site

$82K - $122K/yr

Full-time

Medical, Dental, Life, Retirement

Re-posted 17 days ago

Job description

Human Services Research Institute (HSRI) is seeking a full-time Data Engineer. The Data Engineer will support the growth of leading-edge health and human service data projects that use data to transform care across the nation. This role is responsible for working simultaneously on more than one project within a team that includes technical experts, data engineers, data scientists, research associates, project managers, and subject matter experts – to achieve project goals and deliverables.


The Data Engineer is responsible for designing, building, and optimizing scalable data solutions that support organizational analytics, reporting, and data quality initiatives. This role works independently on complex data engineering tasks and owns end-to-end data pipelines, integrations, and performance optimization using SQL, Python, and Microsoft Azure technologies.


Who We Are

HSRI is a nonprofit organization that conducts research and evaluation to improve health and human service systems. We work at the local, state, and federal levels. Our goal is to help public agencies understand and demonstrate the real-world impact of the services they provide, helping them transform their policies and practices to address root causes of disparities and improve health outcomes.


Our teams have an unwavering commitment to envisioning equitable policies and solutions that create a stronger society for us all. HSRI is an equal opportunity employer and is committed to building a diverse team, bringing as many possible perspectives as possible to bear on services that can profoundly affect people’s health and well-being by addressing social determinants of health. We are committed to building an inclusive environment where people of all backgrounds can come to do their best work.


What We’re Looking For

HSRI is looking for an individual who thrives in a fast-paced environment, works collaboratively, and respectfully engages with diverse perspectives. The ideal candidate can build trusted relationships with internal teams, clients, community organizations, and other partners; understand their goals and challenges; recommend practical solutions; and partner with internal teams to deliver high-quality results on time and within budget.

Responsibilities

  • Design, develop, and maintain scalable data pipelines and automation workflows
  • Own and optimize ETL/ELT processes using SQL, Python, and Azure data technologies
  • Develop and maintain REST APIs and other data integration mechanisms
  • Integrate new and external data sources into production data environments
  • Monitor, test, and optimize data systems for performance and reliability
  • Define and implement data quality checks and reporting frameworks
  • Design and maintain dashboards, scorecards, and reports
  • Collaborate with cross-functional teams to improve data systems
  • Mentor Associate Data Engineers
  • Attend staff, team, and other required meetings and trainings

Minimum Qualifications

  • Bachelor’s degree in computer science, information systems, or related field (or equivalent experience)
  • 3–5 years of experience in data engineering or related roles
  • Strong proficiency in SQL and Python
  • Experience with Azure data services and data pipeline design
  • Experience building and optimizing data pipelines, architectures, and datasets
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
  • Experience supporting and working with cross-functional teams in a dynamic environment
  • Excellent attention to detail
  • Awareness of DevOps and Agile principles
  • Intermediate to advanced expertise with RESTful APIs, XML, JSON, C#, JavaScript, jQuery, and Azure Data Factory
  • Promote teamwork and team-building

Location

This is a remote position with an option to work from our Cambridge, MA, office, which is accessible by public transportation. HSRI does not permit remote work arrangements based in the U.S. Virgin Islands, Puerto Rico, and outside the United States. Must have unrestricted authorization to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa.

Hours

  • Full-time, Monday-Friday, 40 hours per week
  • This position allows flexibility in core hours


Additional Information

HSRI offers a comprehensive benefits package which includes:

  • Health
  • Dental
  • Short- and long-term disability
  • Life Insurance
  • 403(b) retirement plan
  • Flexible spending accounts
  • Education assistance program
  • 10 paid holidays
  • Remote work stipends (e.g., home office improvements, internet/mobile services)


Salary Range

$82,100-$122,150

Pay is commensurate with skills and experience.

HSRI is committed to pay equity in providing employees with equal pay for equal work and carefully considers a wide range of compensation factors, including, but not limited to, prior experience, education, certification(s), license(s), skills, expertise, location, internal equity, and other factors that are job-related and consistent with the organization’s needs. Our offer of employment takes into consideration total compensation, including benefits.

For more information on HSRI, please visit www.hsri.org.

How to Apply

Interested candidates are encouraged to submit a cover letter and resume/CV through HSRI’s Career Center.

You can copy/paste the URL into your browser: https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=9199cf31-c52e-4b8f-b6c1-bfd2a6cce9e0&ccId=9201183405653_2&type=JS&lang=en_US&selectedMenuKey=CareerCenter

You can also mail materials to:

Attention: Human Resources

Human Services Research Institute

2336 Massachusetts Ave.

Cambridge, MA 02140

No phone calls or email inquiries, please.