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

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

We are seeking a Senior Data Engineer to join a core engineering squad within our enterprise ... We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and ...

Data Engineer III

Dedham, MA · On-site

$135K - $165K/yr

Data Engineer III Role Details: Work Location: Boston (Hybrid/In Office) Job Type: Full-time ... insurance, paid time off, and a range of additional employee benefits. About Us: Priority Tax ...

New

Data Engineer

Boston, MA

$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 ...

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 ...

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) · ...

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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Insurance Data Engineer information

See Somerville, MA salary details

$48.6K

$141.6K

$193.7K

How much do insurance data engineer jobs pay per year?

As of Jul 19, 2026, the average yearly pay for insurance data engineer in Somerville, MA is $141,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $150,100.00 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 Somerville, MA? For Insurance Data Engineer jobs in Somerville, MA, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Somerville, MA look for? The top searched job categories for Insurance Data Engineer jobs in Somerville, MA are:
What cities near Somerville, MA are hiring for Insurance Data Engineer jobs? Cities near Somerville, MA with the most Insurance Data Engineer job openings:
Data Engineer

$124K - $149K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago


Job description

RESPONSIBILITIES:
Kforce has a client in Boston, MA that is seeking a Data Engineer.
Position Overview:
We are seeking a Senior Data Engineer to join a core engineering squad within our enterprise technology division. This hands-on role requires deep technical knowledge in enterprise data architecture and a proven history of processing highly sophisticated, large-scale transaction datasets. You will spearhead the creation of robust data pipelines, incorporate advanced automated analytics and document processing tools, and link multi-cloud data environments. This position operates on-site at our regional office on a hybrid schedule.
Core Responsibilities:
* Unified Framework Architecture: Oversee the design, construction, and modernization of our centralized data network, establishing repeatable methodologies for information access, governance, and delivery across internal departments
* Modern Lakehouse Formats: Direct the evolution of our lakehouse storage framework, overseeing ingestion, data delivery, replication, stream management, speed tuning, and standard lifecycle procedures for both reporting and production environments
* Distributed Computing: Formulate the system processing strategy across stateful, stateless, and clustered computing environments
* Real-Time Streaming: Architect and promote message-based, real-time messaging patterns for immediate information ingestion and cross-system connection
* Strategic Planning: Convert business needs into clear technical milestones
* Cross-Functional Leadership: Direct technical strategy across critical platform domains.
Engineering Rigor: Standardize operational frameworks for data verification, tracing, compliance, and monitoring
* Technical Mentorship: Guide developing engineers, elevating development standards regarding design validation, code quality, and technical accountability
REQUIREMENTS:
* Education: Technical degree in a relevant field like Software Engineering, Computer Science, or equivalent practical experience
* Experience: 4+ years navigating enterprise database design, clustered computing, or infrastructure orchestration, with clear tenure operating in an influential technical capacity
* Mindset: An infrastructure-first mindset with a history of delivering high-capacity storage ecosystems focused on developer productivity and data tracking
* Table Formats: Comprehensive hands-on deployment of modern open-source table formats (such as Iceberg or Delta), including storage partition strategies, metadata oversight, and performance optimization
* Compute Engines: Deep knowledge of clustered compute engines, workflow orchestration tools, system recovery, and computational tuning
* Messaging: Proven implementation of asynchronous communication models using modern broker networks and messaging flows
* Analytics: Experience optimizing data ecosystems for production analytics, including specialized pipeline building and model deployment workflows
* Languages: Professional fluency in scripting languages (such as Python and SQL); Familiarity with object-oriented languages (like Java or Scala) and enterprise processing tools is a strong plus
* DevOps Tools: Competency working with cloud-managed containerization tools, infrastructure-as-code automation, and centralized system monitoring software
* Leadership: Ability to direct high-stakes architectural choices, influence engineering directions, and bridge communication gaps between technical teams and business directors
* Communication: Excellent presentation skills, with a capability to explain complicated cloud infrastructure concepts to non-technical partners
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.