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

*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 ...

Data Scientist

Cary, NC · On-site

$85.79 - $97.27/hr

Data & AI* ID 526186-en\_USChoosing Capgemini means choosing a company where you will be empowered ... Engineering.* 5+ years of experience in the Insurance and/or Financial Services industry with ...

Leverage continuous engineering practices to deliver business value regarding effectiveness of the ... Knowledge of insurance industry data and business processes 2. In-depth knowledge in information ...

Business Data Analyst

Cary, NC · On-site

$60 - $65/hr

Basic knowledge of writing syntaxes and a solid background in programming languages. * Strong ... Nice to Have: * Insurance domain knowledge. * Scripting knowledge. Skills: * ETL Concepts.

Reliability Field Engineer

Raleigh, NC · On-site

$36.40 - $47.30/hr

... data Refine and load equipment information and engineering specifications into a database to ... CAI Benefits: • Comprehensive Health Insurance coverage • 24 days of Paid Time Off • Company ...

Reliability Field Engineer

Raleigh, NC · On-site

$36.40 - $47.30/hr

... data Refine and load equipment information and engineering specifications into a database to ... Company paid Life Insurance * Company paid Long Term Disability We are an equal opportunity ...

... data Refine and load equipment information and engineering specifications into a database to ... Comprehensive Health Insurance coverage 24 days of Paid Time Off Company paid Life Insurance ...

... data engineering, cybersecurity, and workforce development. The facility will operate a suite of ... Life Insurance * Accident Plan * Paid Time Off and Other Leave Programs * 12 Holidays Each Year

Data Entry Clerk

Holly Springs, NC · On-site

$14.75 - $19.75/hr

... Project Engineer(s), as well as Craft Supervision * Embrace technological innovations and ... Pet Insurance * Tuition Reimbursement * Paid Volunteer Time Off ABOUT US BMWC tackles the world ...

Showing results 41-60

Insurance Data Engineer information

See Garner, NC salary details

$39.7K

$115.6K

$158.2K

How much do insurance data engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for insurance data engineer in Garner, NC is $115,626.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,100.00 and $122,600.00 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 job categories do people searching Insurance Data Engineer jobs in Garner, NC look for?

The top searched job categories for Insurance Data Engineer jobs in Garner, NC are:

What cities near Garner, NC are hiring for Insurance Data Engineer jobs?

Cities near Garner, NC with the most Insurance Data Engineer job openings:

Data Center Commissioning Project Manager

CAI

Raleigh, NC • On-site

$117K/yr

Full-time

Medical, Life, PTO

Re-posted 5 days ago


Job description

*THIS IS NOT A DATA ENGINEERING RELATED POSITION*
 
Position Description:
Your responsibilities as a Data Center Cx PM will include:
Working with project teams at client sites to inspect, test, and troubleshoot data center/ building commissioning facilities and/ or equipment. This person is responsible for identifying and coordinating activities for commissioning and reporting. The Project Manager will be the POC with client (data center/ building commissioning companies) personnel and the Regional Manager. The Project Manager will execute the work as well as oversee it. Electrical and/or Mechanical commissioning experience is required.
 
Requirements include:
Position Requirements:
BS in an electrical, mechanical, engineering field or equivalent experience
5-10+ years or more of experience in commissioning and qualification in the Data Center industry, Leading large (minimum of 4 megawatts) projects/facilities. Comfort in the Construction industry (managing vendors, clients, subcontractors) is a plus.
Experience with commissioning plans/test scripts, schedules, budgets, change orders and summary reports is desired.
Experience managing multi-disciplinary teams with full commissioning responsibility is desired.
 
Other Requirements:
Excellent oral and written communication skills in English
Able to travel domestically and internationally as required 
Able to work (paid) overtime 
Able to work in the US without sponsorship now or any time in the future. 
 
About CAI
CAI was established in 1996, that has grown year over year to more than 800 people worldwide. We provide commissioning, qualification, validation, start-up, project management and consulting services related to operational readiness to FDA regulated and other mission critical industries.
 
Are You Ready?
Our approach is simple; we put the client’s interests first, we do not stop until it is right, and we will do whatever it takes to get there.
We are committed to living our Foundational Principles, both professionally and personally:
We act with integrity
We serve each other
We serve society
We work for our future
 
Benefits
Our full-time positions offer competitive compensation and benefits which include: 24 days PTO and 5 sick days per year, health insurance at extremely low cost to employee, financial support for both internal and external professional education as well as 70% long term disability paid for by the company.
 
CAI Operations DCx Managers will be exposed to cutting edge technologies in the Hyperscale and other spaces. You will have an opportunity to work with recognized subject matter experts allowing YOU to be a key player in bringing data technologies to market. As part of our company culture, we invest in YOUR future, and commit to hands on certifications as well as professional training. Our collaborative culture ensures that our customers benefit from exemplary work across our entire range of professional services.
#LI-MV1 #MISSIONCRITICAL
Average salary range, not including benefits or compensatory time and possible discretionary bonuses.
 
CAI Benefits:
•Comprehensive Health Insurance coverage
•24 days of Paid Time Off
•Company paid Life Insurance
•Company paid Long Term Disability
We are an equal opportunity employer; we are proud to employ veterans and promote diversity and inclusion in our workplace. Diversity is a strength for our global company. We pledge that CAI will be operated in a way that is fair and equitable to all – our employees, our customers, and the broader society.
 
This job description is not all inclusive and you may be asked to do other duties. CAI will also consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Chance Act (FCA) / Fair Chance Ordinance (FCO). 

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.