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

Data Platform Engineer

Boston, MA · On-site

$124K - $149K/yr

They are seeking a Data Platform Engineer to join their ADAPT Engineering team in Boston ... insurance solutions. Founded in 1976, the company is headquartered in Hudson, USA, with a team of ...

Data Architect

Boston, MA · On-site

$96K - $130K/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 ...

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 ...

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 ...

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 ...

Strong healthcare insurance or payer-domain experience. * Advanced hands-on experience with SQL, PL/SQL, and Oracle. * 5+ years of hands-on ETL and data-engineering experience. * 5+ years of Teradata ...

Data Warehouse Developer

Woburn, MA · On-site

$120 - $139/hr

Data Warehouse Developer Full Time Technical Canton, MA, US Salary Range: 120,000.00 To 139,000.00 ... Vision Insurance * Generous employer-matched 403b savings program * Company paid: Life insurance ...

Showing results 41-60

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:

Director, Data Engineering

HarbourVest Partners, LLC

Boston, MA • On-site

$220K - $230K/yr

Full-time

Medical, Retirement, PTO

Re-posted 11 hours ago


Job description

Job Description Summary
For over forty years, HarbourVest has been home to a committed team of professionals with an entrepreneurial spirit and a desire to deliver impactful solutions to our clients and investing partners. As our global firm grows, we continue to add individuals who seek a collaborative, open-door culture that values diversity and innovative thinking.
In our collegial environment that's marked by low turnover and high energy, you'll be inspired to grow and thrive. Here, you will be encouraged to build on your strengths and acquire new skills and experiences.
We are committed to fostering an environment of inclusion that promotes mutual respect among all employees. Understanding and valuing these differences optimizes the potential of both the individual and the firm.
HarbourVest is an equal opportunity employer.
This position will be a hybrid work arrangement. You will receive 18 remote workdays per quarter to use at your discretion, subject to manager approval. For example, you may choose to work in the office 4 days per week and take one remote day weekly (typically 13 weeks per quarter), leaving 5 additional remote days to be used as needed.
Our Quantitative Investment Science group is seeking a Lead Data Engineer to fully manage and deliver our private equity data platform. This hands-on leadership role requires a proven history of guiding software projects to successful production. You should have extensive experience with private equity financial data and an entrepreneurial approach. You will build scalable data systems that directly support investment, fund, and portfolio decision-making.
The ideal candidate is someone who is:
  • A self-starter with a love for technology, software application delivery, and mathematical applications!
  • Excellent interpersonal and team collaboration capabilities
  • Strong analytical, organizational, and problem-solving skills coupled with outstanding attention to detail
  • A passion for finance and financial markets!
  • A track record of successful SaaS software delivery
What you will do:
  • Take ownership and lead on features and functionality, design, code, run and maintain pipelines, transformations, views, test suites for applications and data validation purposes
  • Mentor team members on software and data engineer guidelines and processes
  • Lead work with Data, DevOps and Application development teams on integrating automated testing with CI/CD processes
  • Involved in testing and deploying internal data quality applications
  • Implement and delivery data quality pipeline frameworks
  • Implement and deliver data warehouse pipelines and modeling
What you bring:
  • Demonstrated ability Leading Data Engineering and Analysis teams
  • Experience mentoring engineers on standard methodologies and establish guidelines while remaining hands-on
  • Proven experience with data-centric testing and deployment of FinTech based applications, data analysis, data pipelines and ETL for large datasets
  • Proficiency in MSSQL or equivalent SQL RDBMS
  • Proficiency in Python
  • Experience with DBT and Azure Data Factory and Pipelines
  • Experience with MS Synapse and Snowflake desired
  • Familiarity working in a scrum/agile SDLC environment
  • Preferred but not vital: Business Intelligence and Analytics application experience
  • Experience delivering software applications and data to a wide audience
Education Preferred
  • Bachelor of Science (B.S) or equivalent experience
  • Master of Science (M.S) or equivalent experience
Experience
  • 8+ Years of Data Engineering and software delivery experience preferred
  • 3-5 Years of Technical Project Leadership experience
  • Partner directly with investment, finance, and operations teams

#LI-Hybrid
Base Salary Range
$220,000.00 - $230,000.00
This USD base salary range represents only one component of total compensation for this role and is provided in accordance with local requirements. This role is eligible for a discretionary annual bonus, which is determined based on individual and overall firm performance. In addition to salary and bonus, total compensation may include eligibility for long-term reward programs and a comprehensive total rewards package that may include retirement, health, insurance, paid time off, and wellness programs. Our total rewards offerings are influenced by several business factors, and eligibility for certain components will vary by position and geography. Please note the posted ranges do not apply outside the U.S. and should not be converted to other currencies as a proxy for compensation in other countries.