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

Beghou Consulting

Data Engineer

Boston, MA

$124K - $149K/yr

We're looking for a Data Engineer who is passionate about modern data platforms, cloud technologies ... Health & Wellness We provide comprehensive medical, dental, and vision insurance, as well as life ...

Kforce Technology Staffing

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

We are seeking a Senior Data Engineer to join a core engineering squad within our enterprise ... We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and ...

Contact Government Services, LLC

Data Engineer

Boston, MA

$124K - $149K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... Therefore, we offer a comprehensive benefits package: -Health, Dental, and Vision -Life Insurance ...

Liberty Mutual Insurance

Senior Data Engineer

Boston, MA · On-site

$106K/yr

We are seeking a Senior Data Engineer with strong analytical skills to join our growing Data and ... Experience in the insurance or financial services industry is a plus * Guidewire experience a plus.

Motion Recruitment

Staff Data Engineer

Boston, MA · On-site

This role combines data architecture, platform engineering, and technical leadership, with a focus ... Insurance · Dental Benefits · Vision Benefits · 401(k) with company match · Paid Time Off (PTO ...

Motion Recruitment

Principal Data Engineer

Boston, MA · On-site

Full-time, hybrid opportunity for a Principal Data Engineer based in Boston, MA (3 days/week onsite ... benefits: • Medical Insurance • Vision Benefits • Paid Time Off (PTO) • Equity ...

Motion Recruitment

Senior Data Engineer

Boston, MA · On-site

$115K - $156K/yr

This is a highly visible engineering role where you'll influence how complex, data-intensive ... Insurance · Dental Benefits · Vision Benefits · Paid Time Off (PTO) · 401(k) with company ...

Motion Recruitment

Senior Data Engineer

Boston, MA · On-site

$115K - $156K/yr

Full-time opportunity for a Senior Data Engineer to join a premier economics, technology, and ... Medical Insurance • Dental Benefits • Vision Benefits • Paid Time Off (PTO) • 401(k) ...

Motion Recruitment

Principal Data Engineer

Boston, MA · On-site

We're hiring a Principal Data Engineer to join a fast-growing, mission-driven healthcare technology ... Medical Insurance * Dental Benefits * Vision Benefits * Paid Time Off (PTO) * 401(k) * Flexible ...

Motion Recruitment

Principal Data Engineer

Boston, MA · On-site

A global financial technology leader is hiring a Principal Data Engineer to join its hybrid ... Insurance · Dental Benefits · Vision Benefits · 401(k) with company match · Paid Time Off (PTO ...

Motion Recruitment

Senior Data Engineer

Boston, MA · On-site

$115K - $156K/yr

... Data Engineer to join its Technology team. In this role, you will help build and maintain modern ... Medical Insurance · Dental Benefits · Vision Benefits · Paid Time Off (PTO) · 401(k) with ...

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Showing results 1-20

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

Insurance Data Engineer information

See Boston, MA salary details

$48.3K

$140.9K

$192.8K

How much do insurance data engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for insurance data engineer in Boston, MA is $140,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $149,400.00 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 Boston, MA? For Insurance Data Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Boston, MA look for? The top searched job categories for Insurance Data Engineer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Insurance Data Engineer jobs? Cities near Boston, MA with the most Insurance Data Engineer job openings:
Insurance Data Engineer jobs near you
Infographic showing various Insurance Data Engineer job openings in Boston, MA as of July 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 81% In-person, and 19% Hybrid job distribution, with an average salary of $140,924 per year, or $67.8 per hour.

Data Engineer

Beghou Consulting

Boston, MA

$124K - $149K/yr

Full-time

Posted 8 days ago

Job description

Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices.

Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes.

We're looking for a Data Engineer who is passionate about modern data platforms, cloud technologies, and AI-enabled development. In this role, you'll design, build, optimize, and support our next-generation AI-forward data platform, enabling scalable, secure, and high-performance data solutions that power advanced analytics and machine learning.

If you thrive in a collaborative environment and enjoy solving complex technical challenges.

 
We'll Trust you to:
  • Design, develop, optimize, and support Beghou's AI-forward data platform.
  • Build scalable data pipelines and ETL/ELT workflows using Databricks, Python, and PySpark.
  • Develop cloud-native data solutions on AWS and/or Azure.
  • Implement software engineering best practices, including CI/CD, version control, automated testing, and secure development practices.
  • Optimize data processing performance, reliability, and scalability.
  • Collaborate with data scientists, software engineers, and business stakeholders to deliver high-quality data products.
  • Apply cloud security and identity management best practices across the platform.
  • Evaluate and incorporate AI tools into development workflows to improve engineering productivity and solution quality.
  • Contribute to continuous improvement of engineering standards, architecture, and platform capabilities.
You'll need to have:
  • Bachelor's or advanced degree in Computer Science, Engineering, Data Science, Statistics, or a related quantitative field.
  • 3+ years of professional data engineering experience.
  • Strong programming experience with Python, including pandas and/or PySpark.
  • Hands-on experience with Databricks and modern cloud platforms (AWS and/or Azure).
  • Strong experience with relational databases such as PostgreSQL, Oracle, MySQL, Amazon Redshift, or Snowflake.
  • Experience using Git-based source control and modern CI/CD practices.
  • Experience with identity and access management technologies such as Azure AD, Okta, OAuth, or SAML.
  • Knowledge of cloud security best practices.
Preferred Qualifications
  • Experience with ETL platforms such as Azure Data Factory, Informatica, SnapLogic, or Boomi.
  • Experience with containerization technologies including Docker, Kubernetes, or AWS ECS.
  • Experience developing web applications using Flask, Django, JavaScript, HTML/CSS, or Ajax.
  • Experience incorporating AI-assisted development tools into engineering workflows.
  • Industry certifications such as:
  • Databricks Certified Data Engineer
  • AWS Certified Data Engineer
  • Microsoft Azure/Fabric Data Engineer
  • Google Cloud Professional Data Engineer
  • Experience in the life sciences, healthcare, or pharmaceutical industry.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including, but not limited to, skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Beghou, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $85,000 to $105,000.
 
We are currently unable to consider candidates who require or will require sponsorship for work authorization in the future. Applicants must be authorized to work in the US on a permanent and ongoing basis without the need for current or future employer-sponsored work authorization.

At Beghou, you'll join a highly collaborative, values-driven team where technical excellence, analytical rigor, and personal growth converge. Whether you're passionate about AI innovation, building commercialization strategies, or shaping the next generation of data-first solutions in life sciences, this is a place to make an impact!

Compensation and Benefits:
Beghou Consulting offers a competitive compensation package and a full complement of benefits, including the following:

Health & Wellness
We provide comprehensive medical, dental, and vision insurance, as well as life & AD&D coverage, disability insurance, and a Lifestyle Wellness Account to help you feel your best.

Work-Life Balance
Our generous PTO, company holidays, and paid parental & bonding leave help you recharge and be present where it matters most. With a flexible hybrid work policy, you’ll enjoy the balance of in-person collaboration and remote flexibility.

Financial Wellness
We invest in your future with a 401(k) and employer match, tax-free commuter, health, and childcare accounts, and performance bonuses. You’ll also receive a monthly phone stipend and access to an employee discount program.

Growth & Giving Back
Through mentorship, training, and tuition reimbursement, we help you grow your career while supporting causes you care about with a charitable donation match.

Culture & Values
Collaboration, innovation, and inclusion define us. Here, you’ll join a community that values your ideas and celebrates your impact. 

Equal Opportunity Employer
We are committed to fostering an inclusive company culture that respects and promotes diverse backgrounds and points of view. We seek candidates who will add to our culture and support the company’s vision of a diverse, equitable, inclusive, and collaborative workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. We are proud to be an equal-opportunity employer. If you are excited about this role but do not meet 100% of the qualifications listed, we still encourage you to apply. You may be just the right candidate for this or other roles.

Must be legally authorized to work in the United States.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.