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

Principal Data Engineer

Boston, MA ยท 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 ...

Data Platform Engineer

Boston, MA ยท 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 ...

Director, Data Engineering

Boston, MA ยท 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 ...

Showing results 21-40

Insurance Data Engineer information

See Cambridge, MA salary details

$48.6K

$141.8K

$194K

How much do insurance data engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for insurance data engineer in Cambridge, MA is $141,777.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,100.00 and $150,300.00 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 Cambridge, MA?

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

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

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

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

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

Data Engineer Senior Developer, AVP

State Street Global Advisors

Boston, MA โ€ข On-site

$90K - $157K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Job description

Seeking a highly skilled data engineer, to design, build, and optimize our data infrastructure and analytics initiatives. As a hands-on technology lead, you will contribute to the design, development, enhancement & maintenance of data frameworks, ensuring data integrity, scalability and security.

We are looking for a skilled Data Engineer for Cloud Data Lake activities. The candidate should have industry experience (preferably in Financial Services) in supporting enterprise applications and exposure to Cloud based Data engineering platforms with deep understanding of data processing frameworks and solid experience with ETL development using distributed computing frameworks as Apache Spark, Scala, Hadoop, Hive. This hands-on role will partner with senior-level development managers, architects and business leadership to develop and execute the technology product roadmap.

What you will be responsible for

  • Collaborate with data scientists, analysts, and product teams to enable analytics and ML use cases
  • Ensure data quality, reliability, security, and governance across data platforms
  • Optimize performance and cost of data workloads in AWS and Databricks
  • Implement CI/CD pipelines and infrastructure as code (e.g., Terraform, CloudFormation)
  • Monitor, troubleshoot, and resolve data pipeline and platform issues
  • Document data architecture, pipelines, and operational processes
  • End to end Cloud Data Lake design & development including data ingestion, data modeling and data distribution.
  • Build data integrations, hand-offs between on-prem/cloud-based systems.
  • Design, build, and maintain scalable, reliable data pipelines using AWS services and Databricks
  • Develop and optimize ETL/ELT workflows for batch and nearrealtime data processing
  • Implement data solutions using Apache Spark (PySpark/Scala) on Databricks
  • Leverage AWS services such as S3, Glue, Lambda, EMR, Redshift, Athena, and Kinesis
  • Highly motivated, with the ability to take initiative, set priorities and perform tasks with minimal guidance
  • Management oversight of a global team of software development and QA engineers.
  • Building strong partnership with technology & business leaders and peers
  • Work closely with the Product Owner and others on requirements analysis, planning,project management, and execution.

What we value

These skills will help you succeed in this role

Development experience in designing, developing and deploying enterprise applications.

Strong skill-set, experience in PL/SQL, Python, Scala/PySpark, PERL/scripting.

Hands on experience with Cloud platforms, AWS, Databricks.

Experience in building systems using modern, scalable, resilient, data lakes and architectures.

Experience in Data Modeling and database design with strong skills in performance tuning.

Hands on experience in setting up data pipelines for ELT jobs across multiple data sources.

Experience with Delta Lake, Unity Catalog, and Databricks Workflows

Strong knowledge of Cloud Security in AWS/Azure, specifically IAM Roles & Polices, Security Groups and Encryption keys.

Experience with optimizing database performance, scalability, ensuring data security and compliance.

Experience with event based, micro-batch and batched high volume and high velocity transaction and data processing system.

Proficiency with version control(Git), CI/CD and DevOps practices

Exposure to data governance, lineage, and metadata management

Education & Preferred Qualifications

Bachelor's/Master's Degree in a Computer Science, Engineering or Math or equivalent experience

5+ years' experience in professional software design and development.

Strong analytical skills, with ability to collect, absorb, and analyze information quickly and independently

Proven ability to develop and work with cross functional processes and project timelines

Excellent follow-through, attention to detail and time management skills

Adapt and excel at managing multiple simultaneous tasks in a high pressure, deadline environment.

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.