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

Sr. Data Architect with P&C insurance

Boston, MA · On-site

$73 - $97.75/hr

Proficiency in Python for data engineering and automation. * Strong SQL skills and experience with ... Experience in the insurance industry, preferred. * Snowflake certification, a plus. * Familiarity ...

Data Architect

Boston, MA · On-site

$105K - $143K/yr

Data Engineering & Pipeline Development * Build ELT/ETL pipelines using modern cloud-native tools ... Experience in the insurance industry, preferred. * Snowflake certification, a plus. * Familiarity ...

Data Architect

Boston, MA · On-site

$105K - $143K/yr

Data Engineering & Pipeline Development * Build ELT/ETL pipelines using modern cloud-native tools ... Experience in the insurance industry, preferred. * Snowflake certification, a plus. * Familiarity ...

Property & Casualty (P&C) insurance industry experience. * Experience working within a Data organization (e.g., data science, AI/ML engineering, intelligent automation, analytics, or data platform ...

Senior Engineer, Data Platform - AR

Boston, MA · On-site

$124K - $149K/yr

Software Engineer, Data Distribution & Data Intelligence Location: Boston, MA or New York, NY Work ... markets, insurance solutions, private equity, credit, real assets, and strategic investment ...

Showing results 41-60

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 15, 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:

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.

Data Engineer, Officer - State Street Investment Management

Quincy, MA • On-site

State Street Global Advisors
Finance and Insurance • 1 - 5K employees

$70K - $118K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Job description

Who we are looking for

State Street Investment Management's Data, Analytics & AI Services (DAAIS) team is looking for a Data Engineer - Officer to be part of the architecture, engineering execution, modernization strategy, and technology roadmap supporting the investment management business. The successful candidate will bring hands-on development expertise in large-scale data platform architecture, distributed computing, data pipeline engineering, and modern cloud architecture.

Why this role is important to us

The team you will be joining is a part of State Street Investment Management, one of the largest asset managers in the world. We partner with many of the world's largest, most sophisticated investors and financial intermediaries to help them reach their goals through a rigorous, research-driven investment process. With over four decades of experience and trillions of dollars in assets under management, we offer one of the broadest selections of services across asset classes, risk profiles, regions and styles. As pioneers in index, ETF, and ESG investing, we are always inventing new ways to invest.

Join us if making your mark in the asset management industry from day one is a challenge you are up for.

What you will be responsible for

These skills will help you succeed in this role

  • Design, develop, test, and maintain data pipelines using Python, PySpark, and SQL.
  • Design, build, and manage robust workflows and data ingestion, transformation solutions using Databricks and Snowflake
  • Hands-on experience with Databricks, Snowflake on AWS (Azure acceptable)
  • Design and maintain CI/CD pipelines using tools such as Jenkins, Artifactory, GitHub.
  • Develop containerized applications for APIs, event based, streaming and batch using Docker.
  • Prior experience on working in Agile project management practices
  • Work under minimal supervision to analyze, design, develop, test, and debug
  • Participate in cross-team group activities to complete assignments.
  • Work with cross-functional teams and other engineers on the core platform capabilities
  • Develop Iceberg, unity catalog based tables for consistent, performant analytical access across multiple compute engines.
  • Partner with product owners, analytics teams, and downstream consumers to translate business requirements into technical solutions
  • Apply AI code generation tools (e.g., Anthropic Code, Codex, and GitHub Copilot) to accelerate development, improve quality, and increase productivity.
  • Excellent verbal and written communication and should be able to work with all the stakeholders.

Required Qualifications

  • Master's degree in Computer Science or a related engineering discipline.
  • 6-10 years of technology experience with Data Engineeting focus
  • Strong hands-on in Python, Spark, SQL, Databricks and Snowflake, with the ability to design, debug, and optimize distributed data processing;
  • Experience building Lakehouse platforms using Snowflake and Databricks on AWS (Azure acceptable), supporting high concurrency analytical workloads.
  • Proficiency in data engineering and automation
  • 5+ years of handson experience building data pipelines on cloud platforms
  • Some experience working on modern Data Platform Architecture, Lakehouse, Data Products, and cloud-native analytics ecosystems.
  • Good understanding of Data Warehousing, Data Lakes, and Data Quality concepts
  • Experience working with both unstructured data sources and processing patterns
  • Exposure with GIT, CI/CD Process for Deployment and Releases.
  • Strong operational and engineering excellence mindset, with experience establishing SDLC standards, CI/CD, observability, reliability engineering, incident management, and continuous improvement practices for mission-critical platforms.
  • Familiarity with AI-assisted development tools (e.g., GitHub Copilot, Codex, Anthropic tools).

Preferred Qualifications

  • Previous experience in data/platform development within a financial institution.
  • Experience with both structured and unstructured data management tools and associated patterns
  • Familiarity with modern governance frameworks (Unity Catalog, Collibra, Alation).
  • Expertise in AI-assisted coding using GitHub Copilot or Claude Code Assistant.
  • Databricks platform administrator certification

Salary Range:

$70,000 - $118,750 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.