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

State Street

Senior Data Engineer-Onsite

Quincy, MA · Hybrid

$90K - $157K/yr

Who we are looking for We are seeking a Senior Data Engineer with 7+ years of experience in ... company match; insurance coverage including basic life, medical, dental, vision, long-term ...

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:

Careers at KKR

Data Platform Engineer

Boston, MA · On-site

$124K - $149K/yr

KKR's insurance subsidiaries offer retirement, life and reinsurance products under the management ... TEAM OVERVIEW The ADAPT (AI, Data, and Platform Technologies) Engineering team is integral to KKR ...

HarbourVest

Director, Data Engineering

Boston, MA · Hybrid

$220K - $230K/yr

Our Quantitative Investment Science group is seeking a Lead Data Engineer to fully manage and ... insurance, paid time off, and wellness programs. Our total rewards offerings are influenced by ...

Intentsify LLC

Senior Software Engineer- Data

Westwood, MA · On-site

$137K - $180K/yr

... Life Insurance Requirements: Qualifications: · Senior-level Experience: Extensive data engineering experience, comfortable owning products e2e and building them autonomously. · Technical ...

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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.
Sr. Databricks Data Engineer, Onsite, AVP

Sr. Databricks Data Engineer, Onsite, AVP

State Street Corporation

Quincy, MA • On-site

$90K - $157K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago

Job description

Who we are looking for
We are looking for a Sr. Databricks Data Engineer with hands-on development experience on DataBricks to process high volume of data in near real time for State Street Global Technology Services
What you will be responsible for
As Sr. Databricks Data Engineer you will
  • Design & develop custom high throughput and configurable data pipelines using DataBricks.
  • Ability to drive change through collaboration, influence and demonstration of POCs
  • Design, build and test end to end data ingestion pipelines (streaming, events, and batch), data integration, data curation.
  • Design, develop, and deploy scalable ETL pipelines on cloud-based infrastructure using Databricks SQL & Scala/PySpark.
  • Optimize and tune Databricks job performance, including query optimization, resource management, and scaling strategies
  • Address data issues, environment issues, performing impact analysis, root cause analysis, corrective, adaptive and perfective maintenance
  • Responsible for all aspects of the software development lifecycle, including design, coding, integration testing, deployment, and documentation

What we value
These skills will help you succeed in this role
  • Strong hands-on on Databricks SQL & Scala/PySpark - Data engineering pipeline.
  • Strong hand-on experience in troubleshooting DevOps pipelines and Azure services
  • Expertise on end-to-end data solutioning for building Data Lakehouse using Databricks.
  • Experience with Micro Services - API/Event Driven Architecture/Development
  • Strong hands-on experience in troubleshooting DevOps pipelines and Azure services
  • Strong critical thinking, communication, and problem-solving skills.

Education & Preferred Qualifications
  • Bachelor's Degree level qualification in a computer or IT related subject.
  • 7+ years of overall IT experience.
  • 5+ years of Data Engineering experience handling large datasets.
  • 3+ years of Databricks hands-on experience using SQL & Scala/PySpark.
  • 3+ years of experience on cloud-based development using Azure/AWS.

Additional requirements
  • Communicate effectively in a professional manner both written and orally
  • Team player with a positive attitude, enthusiasm, initiative and self-motivation
  • Experience of working in the financial industry
  • Experience in collaborating with team members, users and stakeholders across geographical locations.
  • Ability to multi-task, meet aggressive timelines and have strong work ethics
  • Experience with agile development methodology

Work Requirement
  • Onsite 4 days a week in office and one day remote
  • Standard business hours aligned to project and stakeholder needs(8am to 5pm)

Salary Range:
$90,000 - $157,500 Annual
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
For a full overview, visit https://hrportal.ehr.com/statestreet/Home.
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
Discover more information on jobs at StateStreet.com/careers
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Job Application Disclosure:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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About State Street

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State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

Year founded

1792

Social media

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