ZipRecruiter

Log In

1

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

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) · ...

Recorded Future

Principal Data Engineer

Boston, MA · On-site

$152K - $228K/yr

We are looking for a Principal Data Engineer to drive improvements in the Digital Risk Protection ... life insurance and 401K. Your recruiter can share more about the specific details of the ...

previous pagenext page

Showing results 21-40

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

Insurance Data Engineer information

See Wellesley, MA salary details

$48.8K

$142.3K

$194.7K

How much do insurance data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for insurance data engineer in Wellesley, MA is $142,286.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,600.00 and $150,800.00 per year, depending on experience, location, and employer.

What is an insurance data engineer?

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.

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 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 job categories do people searching Insurance Data Engineer jobs in Wellesley, MA look for?

The top searched job categories for Insurance Data Engineer jobs in Wellesley, MA are:

What cities near Wellesley, MA are hiring for Insurance Data Engineer jobs?

Cities near Wellesley, MA with the most Insurance Data Engineer job openings:

Insurance Data Engineer jobs near you
Infographic showing various Insurance Data Engineer job openings in Wellesley, MA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 23% Part Time, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $142,286 per year, or $68.4 per hour.

Principal Data Engineer

Motion Recruitment Partners, LLC

Boston, MA • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago

Job description

Job Description
A rapidly growing financial technology company is hiring a Principal Data Analytics Engineer to lead the evolution of its cloud-native data platform supporting one of the world's largest structured finance analytics ecosystems.
This is a highly strategic, hands-on role where you'll shape the technical direction of the organization's analytics platform while partnering closely with engineering, product, analytics, and business leaders. The team is looking for someone who can architect large-scale data systems, establish engineering best practices, mentor senior engineers, and solve complex data challenges that directly influence financial markets.
This is a hybrid full-time role in Back Bay, Boston.
Required Skills & Experience
8+ years of experience in data engineering, analytics engineering, or data platform development
Expert-level proficiency in Python and SQL
Extensive experience designing scalable ETL/ELT pipelines and cloud-native data architectures
Strong experience with dbt, Apache Airflow, Apache Spark, or equivalent modern data frameworks
Experience with Google Cloud Platform, BigQuery, Dataproc, Cloud Run, or similar cloud technologies
Deep understanding of data modeling, business logic implementation, and relational database design
Experience building highly reliable, production-scale data platforms
Strong software engineering fundamentals with a focus on performance, scalability, and maintainability
Excellent communication skills with experience influencing technical and business stakeholders
Experience mentoring engineers and driving engineering best practices across teams
Desired Skills & Experience
Experience architecting enterprise-scale analytics platforms
Background in financial services, lending, capital markets, or structured finance
Experience working with AI-assisted development tools and modern data automation frameworks
Experience partnering directly with customers and executive stakeholders
Familiarity with distributed computing, data governance, and large-scale data quality initiatives
Experience leading technical strategy across cross-functional engineering organizations
What You Will Be Doing Tech Breakdown
40% Data Platform Architecture & Engineering
30% Data Modeling, Analytics Engineering & Business Logic
20% Technical Leadership & Cross-Functional Strategy
10% Platform Innovation & Performance Optimization
Daily Responsibilities
60% Hands On Engineering
25% Technical Leadership & Architecture
15% Cross-Functional Collaboration & Stakeholder Engagement
The Offer
Competitive base salary + bonus and equity potential
You will receive the following benefits:
Medical Insurance
Dental Benefits
Vision Benefits
401(k)
Unlimited Paid Time Off (PTO)
Monthly Fitness Stipend & Annual Wellness Fund
Paid Parental Leave
Professional Development & Conference Opportunities
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Apply