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Insurance Data Engineer Jobs in Raleigh, NC (NOW HIRING)

Data Scientist

Cary, NC · On-site

$65 - $70/hr

... engineering and/or data science. * 5+ years of insurance business and/or financial industry experience with sales, marketing, and/or customer engagement analytics. * Proven experience designing ...

*THIS IS NOT A DATA ENGINEERING RELATED POSITION* Position Description: Your responsibilities as a ... Comprehensive Health Insurance coverage 24 days of Paid Time Off Company paid Life Insurance ...

*THIS IS NOT A DATA ENGINEERING RELATED POSITION* Position Description: Your responsibilities as a ... Comprehensive Health Insurance coverage 24 days of Paid Time Off Company paid Life Insurance ...

*THIS IS NOT A DATA ENGINEERING RELATED POSITION* Position Description: Your responsibilities as a ... Company paid Life Insurance * Company paid Long Term Disability We are an equal opportunity ...

*THIS IS NOT A DATA ENGINEERING RELATED POSITION* Position Description: Your responsibilities as a ... CAI Benefits: • Comprehensive Health Insurance coverage • 24 days of Paid Time Off • Company ...

Showing results 41-60

Insurance Data Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

How much do insurance data engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for insurance data engineer in Raleigh, NC is $126,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 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 job categories do people searching Insurance Data Engineer jobs in Raleigh, NC look for? The top searched job categories for Insurance Data Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Insurance Data Engineer jobs? Cities near Raleigh, NC with the most Insurance Data Engineer job openings:
Infographic showing various Insurance Data Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $126,095 per year, or $60.6 per hour.

Site Reliability Engineering (SRE) & DevOps

NTT DATA Services

Raleigh, NC • On-site, Remote

$91K - $135K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


NTT Data rating

7.4

Company rating: 7.4 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

115th of 221 rated it services


Job description

Req ID: 381565 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Site Reliability Engineering (SRE) & DevOps to join our team in Raleigh, North Carolina (US-NC), United States (US).

Job Title: Technology Consultant - Site Reliability Engineering (SRE) & DevOps

Location: North Carolina, Raleigh

Overall Experience: 5+ Years

Role Summary:

We are seeking an experienced Technology Consultant - Site Reliability Engineering (SRE) & DevOps to join a high-performing, cross-functional SRE team. The ideal candidate should have strong expertise in cloud engineering, infrastructure automation, monitoring, and DevOps practices, with hands-on experience in Google Cloud Platform (GCP). The candidate will act as a Subject Matter Expert (SME) for operational automation, proactively identify operational toil (TOIL), and design and implement automation solutions that improve operational efficiency, reliability, and scalability across enterprise platforms.

Day to Day Job Duties:

  • Design, develop, and implement automation solutions to eliminate operational TOIL and improve system reliability.
  • Manage and support cloud infrastructure on Google Cloud Platform (GCP).
  • Define and monitor Service Level Indicators (SLIs), Service Level Objectives (SLOs), Customer/User Journey (CUJ) metrics, and Error Budgets based on Non-Functional Requirements (NFRs).
  • Develop and maintain Infrastructure as Code (IaC) using Terraform and GitHub.
  • Build automation scripts using Python and PowerShell to streamline operational activities.
  • Deploy, manage, and troubleshoot containerized workloads using Kubernetes.
  • Design and implement automated operational workflows and infrastructure provisioning.
  • Collaborate with development, operations, and platform engineering teams to improve system performance, availability, and scalability.
  • Participate in incident management, root cause analysis, and continuous service improvement initiatives.
  • Follow Agile, DevOps, and Site Reliability Engineering (SRE) best practices.

Basic Qualifications:

  • 3+ years of experience in Site Reliability Engineering (SRE), DevOps, or Cloud Engineering.
  • 2+ years' experience with Google Cloud Platform (GCP).
  • 2 + years' experience in SLI, SLO, Error Budgets, and observability practices.
  • 2 + years' experience in Python and PowerShell
  • 2 + years' experience in Infrastructure as Code (Terraform) and Git-based version control.

Nice to Have:

  • Container Technologies: Kubernetes, Docker
  • Experience with CI/CD and release management tools such as Jenkins, Maven, Ant, Puppet, Gradle, Ansible, TeamCity, uDeploy, and Dataproc.
  • Experience with Microservices architecture.
  • Knowledge of programming languages such as Java or C#.
  • Understanding of CI/CD pipeline design, implementation, and optimization.
  • Experience working in Agile/Scrum and DevOps delivery environments.

    NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $91,000-$135,000. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications.

    This position may also be eligible for incentive compensation based on individual and/or company performance. 

    This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.


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About NTT DATA

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NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967