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

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 ...

Careers at KKR

Data Platform Engineer

Boston, MA · 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 ...

HarbourVest

Director, Data Engineering

Boston, MA · 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 ...

Merck Group

Senior Data & ML Ops Engineer

Boston, MA · On-site

$137K - $206K/yr

As a Senior Data & MLOps Engineer, you own the data and MLOps foundations - from ingestion to ... Benefits offered by the Company include health insurance, paid time off (PTO), retirement ...

KKR

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 ...

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

Insurance Data Engineer information

See Newton, MA salary details

$48.8K

$142.3K

$194.7K

How much do insurance data engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for insurance data engineer in Newton, MA is $142,290.00, 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.

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.

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 are popular job titles related to Insurance Data Engineer jobs in Newton, MA? For Insurance Data Engineer jobs in Newton, MA, the most frequently searched job titles are:
What cities near Newton, MA are hiring for Insurance Data Engineer jobs? Cities near Newton, MA with the most Insurance Data Engineer job openings:
Insurance Data Engineer jobs near you

Principal Platform Data Engineer, SAP

Alnylam Pharmaceuticals

Cambridge, MA • On-site

$174K - $236K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Job description

Overview
Alnylam's 2030 transformation - serving 10x patients with 30x manufacturing capacity - depends on SAP as the backbone for finance, supply chain, manufacturing, and procurement. As Principal Platform Data Engineer, SAP, you will own the end-to-end architecture from SAP S/4HANA and BW/4HANA source systems through Fivetran-based extraction, Snowflake lakehouse storage, dbt transformation, and downstream consumption by analytics, AI/ML, and Snowflake Cortex AI workloads. This is a highly autonomous, technically senior individual contributor role with direct influence on how SAP data powers the entire enterprise. Reports to the Sr. Director/Director of Data, AI & Enterprise Architecture. Hybrid role based in Cambridge, MA with 2 days/week onsite.
Responsibilities
  • Own the SAP-to-Snowflake integration architecture using Alnylam's common integration pattern - Fivetran for extraction, Snowflake as the enterprise lakehouse, and dbt for transformation and semantic modeling - ensuring reliable, governed, AI-ready data pipelines across all SAP domains.
  • Design and optimize change data capture strategies across SLT replication, ODP extraction, ABAP CDS views, and Fivetran delta modes, balancing extraction latency, SAP system performance, and data completeness.
  • Build canonical SAP data models in dbt that translate complex ERP table structures into intuitive, well-governed datasets in the Snowflake medallion architecture, including reusable macros for currency conversion, UOM handling, hierarchy flattening, and SAP-specific semantic layer definitions.
  • Implement data quality monitoring, security architecture (RBAC, column masking, row-level security), and CI/CD pipelines for SAP data infrastructure, ensuring compliance with GxP, 21 CFR Part 11, and SOX requirements.
  • Serve as the enterprise SAP data SME - leading architecture reviews, mentoring domain engineers, partnering with SAP Basis and functional teams, and representing Alnylam in vendor discussions with Fivetran, Snowflake, and SAP.
  • Define the SAP data product roadmap and future-state integration architecture strategy, evaluating emerging capabilities including SAP Datasphere, SAP BTP, and Snowflake Native Apps as the ERP landscape evolves.

Qualifications
Required
  • 10+ years in data engineering with 5+ years focused on SAP data extraction, integration, and analytics.
  • Deep SAP module knowledge across at least three of FI/CO, MM, SD, PP, QM, or WM/EWM - able to navigate table structures, transaction codes, and data relationships without documentation.
  • Expert understanding of SAP extraction methods: SLT, ODP, ABAP CDS views, OData services, BAPIs/RFCs, and IDocs; strong SAP BW/4HANA and S/4HANA Universal Journal (ACDOCA) experience.
  • Expert-level Snowflake including Snowpark, Streams/Tasks, and Snowflake Cortex AI (LLM functions, Cortex Search, Document AI).
  • Hands-on Fivetran experience: SAP connector configuration, sync strategies, schema drift handling, and API automation.
  • Deep dbt expertise (3+ years): advanced Jinja, custom macro/package development, Semantic Layer/MetricFlow, and CI/CD integration.
  • Expert SQL and Python with production-quality standards; strong Terraform, GitHub Actions, and AWS skills.
  • Experience with data observability platforms (Monte Carlo preferred) and regulated environments (GxP, SOX, HIPAA).

Preferred
  • 5+ years in biotech, pharma, healthcare, or life sciences.
  • Experience with SAP Datasphere, SAP BTP, and Snowflake Native App capabilities.
  • History of building reusable SAP data frameworks and dbt packages adopted across engineering teams.
  • Occasional travel required (10-15%) for vendor conferences including Snowflake Summit, SAP TechEd, and Coalesce.

#LI-Hybrid
#LI-LN1
U.S. Pay Range
$174,800.00 - $236,600.00
The pay range reflects the full-time base salary range we expect to pay for this role at the time of posting. Base pay will be determined based on a number of factors including, but not limited to, relevant experience, skills, and education. This role is eligible for an annual short-term incentive award (e.g., bonus or sales incentive) and an annual long-term incentive award (e.g., equity).
Alnylam's robust Total Rewards package is designed to support your overall health and well-being. We offer comprehensive benefits including medical, dental, and vision coverage, life and disability insurance, a lifestyle reimbursement program, flexible spending and health savings accounts and a 401(k)with a generous company match. Eligible employees enjoy paid time off, wellness days, holidays, and two company-wide recharge breaks. We also offer generous family resources and leave. Our commitment to your well-being reflects our belief that caring for our people fuels the impact we create together.
Learn more about these and additional benefits offered by Alnylam by visiting the Benefits section of the Careers website: https://www.alnylam.com/careers
About Alnylam
We are the leader in RNAi therapeutics - a revolutionary approach with the potential to transform the lives of people with rare and common diseases. Built on Nobel Prize-winning science, Alnylam has delivered the breakthroughs that made RNAi therapeutics possible and are just at the beginning of what's possible. Our deep pipeline, late-stage programs, and bold vision reflect our core values: fierce innovation, passion for excellence, purposeful urgency, open culture and commitment to people. We're proud to be a globally recognized top employer, where an authentic, inclusive culture and breakthrough thinking fuel one another.
At Alnylam, we commit to an inclusive recruitment process and equal employment opportunity. Qualified applicants will receive consideration for employment without regard to their sex, gender or gender identity, sexual orientation, race, color, ethnicity, national origin, ancestry, citizenship, religion, creed, physical or mental disability, pregnancy status or related conditions, genetic information, veteran or military status, marital or familial status, political affiliation, age, or any other factor protected by federal, state, or local law. Alnylam is an E-Verify Employer.

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