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

Senior Data Engineer

Boston, MA ยท On-site +1

$159K - $207K/yr

We are seeking a highly skilled and motivated Senior Data Analysis Engineer for our large-scale AI ... life insurance, pet insurance, and more. Salary Range $159,000-$207,000 USD Motional is a ...

Senior Data Engineer

Boston, MA ยท On-site

$159K - $207K/yr

We are seeking a highly skilled and motivated Senior Data Analysis Engineer for our large-scale AI ... life insurance, pet insurance, and more. Salary Range $159,000--$207,000 USD Motional is a ...

Develop and maintain core software engineering infrastructure within data platform engineering ... S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) ...

Senior Data Engineer-Onsite

Quincy, MA ยท Hybrid

$90K - $157K/yr

Who we are looking for We are seeking a Senior Data Engineer with 7+ years of experience in ... company match; insurance coverage including basic life, medical, dental, vision, long-term ...

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 ...

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Insurance Data Engineer information

See Dedham, MA salary details

$45.7K

$133.2K

$182.3K

How much do insurance data engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for insurance data engineer in Dedham, MA is $133,245.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,600.00 and $141,200.00 per year, depending on experience, location, and employer.

How much do insurance engineers make?

Insurance data engineers typically earn a median salary ranging from $80,000 to $120,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL can command higher salaries. Compensation may also include benefits such as bonuses and professional development opportunities.

What engineers make $500,000?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership roles. High compensation is often associated with seniority, complex data systems, and working in competitive markets or large organizations.

What are Insurance Data Engineers?

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.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, manage, and oversee data infrastructure. Data engineers are essential for building scalable data pipelines, ensuring data quality, and implementing AI solutions effectively. Their expertise remains critical in managing complex data environments and integrating AI tools into business processes.

What engineers make 300,000 a year?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $300,000 or more annually, especially with extensive experience, advanced skills in SQL, Python, cloud platforms, and certifications. High-level roles often involve leadership, complex data architecture, and strategic decision-making, typically in large organizations or with specialized expertise.
What are popular job titles related to Insurance Data Engineer jobs in Dedham, MA? For Insurance Data Engineer jobs in Dedham, MA, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Dedham, MA look for? The top searched job categories for Insurance Data Engineer jobs in Dedham, MA are:
What cities near Dedham, MA are hiring for Insurance Data Engineer jobs? Cities near Dedham, MA with the most Insurance Data Engineer job openings:
Infographic showing various Insurance Data Engineer job openings in Dedham, MA as of July 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 80% In-person, 14% Hybrid, and 6% Remote job distribution, with an average salary of $133,245 per year, or $64.1 per hour.
Senior Data Engineer

Senior Data Engineer

Motional

Boston, MA โ€ข On-site, Remote

$159K - $207K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 16 hours ago


Job description

Mission:
We are seeking a highly skilled and motivated Senior Data Analysis Engineer for our large-scale AI model and software evaluation framework - Ground Truth Regression. The ideal candidate will have a strong background in data engineering, machine learning principals and statistical analysis.
At Motional, large scale orchestration for data analysis plays a critical role in delivering our ML-centered autonomous driving vehicle. Our robo-taxi ML Models and software are developed by hundreds of developers and deployed multiple times a day - The Ground Truth Regression team provides the large scale perception analysis framework for validating all changes to perception which can impact the autonomous vehicle behavior.
The GTRegression team validates the end impact of ML and software changes to the autonomous vehicle while those changes are in development, providing the tools for Root Cause Analysis, and safety consideration. We monitor for model errors, anomalies, rare objects & long-tail driving scenarios across thousands of driving hours. The team develops the full stack - AWS Kubernetes orchestration framework, ReSimulation, model metrics, regression reports, and deep dive analysis UI's. The team works together with all other perception and ML teams to develop the metrics and analyze results.
What You'll Do:
  • Work with ML Engineers and Autonomy Software Developers to develop new data analysis metrics and KPI's for the validation of the autonomous vehicle performance.
  • Drive innovation by researching and developing new large scale data analysis systems.
  • Own large-scale data analysis workflows that surface unexpected impacts of planned and unplanned changes to the ML models and software.
  • Build high-quality datasets to improve ML products through training & edge case validation.
  • Provide statistical depth on model performance & generalization through rigorous error and change analysis.

What We're Looking For:
  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • Strong programming skills in Python, SciPy, and related data analysis frameworks.
  • Experience in machine learning, data mining, and statistical analysis.
  • Experience with large-scale data processing and distributed computing technologies.
  • Strong communication and software development skills: goal setting, design documentation, test frameworks, collaborative cross team development.

Bonus Points:
  • Ph.D. in Computer Science or a related field.
  • Experience with cloud platforms such as AWS, Google Cloud, or Azure.
  • Experience with machine learning in the autonomous driving domain.
  • Publications or contributions to the AI/ML community.

The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Salary Range
$159,000-$207,000 USD
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.