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

Goodwin Procter LLP

Sr. Data Engineer

Boston, MA · On-site

$115K - $156K/yr

The role of Senior Data Engineer is essential for the successful modernization of our data ... Health, dental, and vision insurance * Life and disability insurance * Retirement & Savings Plan

Goodwin

Sr. Data Engineer

Boston, MA

$115K - $156K/yr

The role of Senior Data Engineer is essential for the successful modernization of our data ... Health, dental, and vision insurance * Life and disability insurance * Retirement & Savings Plan

Recorded Future

Principal Data Engineer

Boston, MA

$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 ...

Wellington Management Company

Senior Data Engineer

Boston, MA · On-site

$115K - $156K/yr

Senior Data Engineer As a member of the Science Research Technology team, you will help design ... Life and disability insurance * Adoption assistance * Backup childcare * Tuition/CFA reimbursement

Apex Systems

Senior Cloud Data Engineer

Quincy, MA · On-site

$80 - $83/hr

Senior Cloud Data Engineer Client: Commonwealth of MA (EOHHS) Location: Quincy, MA (Hybrid ... other insurance plans that offer an optional layer of financial protection. * We offer an ESPP ...

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 ...

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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 Sep 13, 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 are popular job titles related to Insurance Data Engineer jobs in Wellesley, MA?

For Insurance Data Engineer jobs in Wellesley, MA, the most frequently searched job titles are:

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

Boston, MA • On-site

Motion Recruitment Partners, LLC
Recruiting and Staffing Services • 1 - 5K employees
Learn more about Motion Recruitment Partners, LLCexternal

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago

Job description

Job Description
A global financial technology leader is hiring a Principal Data Engineer to join its hybrid engineering team in Waltham, MA. This full-time role focuses on designing and building enterprise-scale, real-time data platforms that power mission-critical financial applications.
This is a highly visible technical leadership opportunity where you'll drive the architecture and modernization of next-generation streaming data platforms while mentoring engineers and influencing engineering standards across the organization. The team is looking for someone who thrives in complex distributed environments, enjoys solving large-scale performance challenges, and wants to build resilient, cloud-native systems using cutting-edge event streaming technologies.
Required Skills & Experience
8+ years of experience in data engineering, software engineering, or backend platform development
Expert-level Python development for data processing, automation, and scalable backend applications
Advanced SQL skills including complex query development, CTEs, window functions, performance tuning, and query optimization
Extensive experience designing and building scalable ETL/ELT pipelines and distributed data processing systems
Strong experience with cloud-native data platforms on AWS, including Redshift, S3, Lambda, Glue, and related services
Experience with Apache Kafka and event-driven data architectures
Experience building and orchestrating batch and streaming data pipelines using tools such as Airflow, Spark, or Flink
Strong knowledge of relational databases including PostgreSQL, Oracle, Amazon Redshift, and Aurora, with expertise in schema design and data modeling
Experience with containerization and Infrastructure as Code using Docker, Kubernetes, Terraform, or CloudFormation
Experience building CI/CD pipelines and implementing engineering best practices for production data platforms
Experience implementing monitoring, logging, data quality, and observability solutions across enterprise data environments
Proven ability to lead technical initiatives, mentor engineers, and collaborate across cross-functional engineering teams
What You Will Be Doing Tech Breakdown
40% Real-Time Data Platform & Streaming Engineering
30% Cloud Infrastructure, Microservices & Distributed Systems
20% Architecture, Technical Leadership & Platform Modernization
10% Observability, Performance Optimization & CI/CD
Daily Responsibilities
60% Hands On Engineering
20% Technical Leadership & Mentorship
20% Cross-Functional Collaboration
The Offer
You will receive the following benefits:
Medical Insurance
Dental Benefits
Vision Benefits
401(k) with company match
Paid Time Off (PTO)
Paid Holidays
Paid Parental Leave
Professional Development Reimbursement
Hybrid Work Environment
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

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