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

CYNET SYSTEMS

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 ...

CAI

Data Center Commissioning Project Manager

Raleigh, NC · On-site

$128K - $150K/yr

*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 ...

CAI

Data Center Commissioning Project Manager

Raleigh, NC · On-site

$128K - $150K/yr

*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 ...

CAI

Data Center Commissioning Project Manager

Raleigh, NC · On-site

$128K - $150K/yr

*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 ...

CAI

Data Center Commissioning Project Manager

Raleigh, NC · On-site

$128K - $150K/yr

*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 ...

Tihinsurance

Machine Learning Engineer

Morrisville, NC · On-site

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 ...

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All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Garner, NC

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 7, 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.

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 Garner, NC? For Insurance Data Engineer jobs in Garner, NC, the most frequently searched job titles are:
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:
Insurance Data Engineer jobs near you

Data Scientist

CYNET SYSTEMS

Cary, NC • On-site

$65 - $70/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 9 days ago

Job description

Job Overview:
Pay Range: $65.00hr - $70.00hr
Requirement/Must Have:
  • Bachelor's or master's degree in computer science, Data Science, Engineering, Mathematics, or a related field.
  • 8+ years of overall experience in AI/ML 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, deploying, and operating production ML and/or GenAI solutions, including APIs, batch, and real-time inference.
  • Experience in developing Machine Learning models using Python (preferably in the cloud).
  • Familiarity with best practices for responsible AI, including data privacy, bias mitigation, and/or model monitoring.
  • Strong SQL knowledge and data analysis skills for data anomaly detection and Exploratory Data Analysis.
  • Experience with Dominos, Power BI, and/or Azure ML.
  • Strong understanding of statistics and mathematics for data analysis and prediction.
  • Ability to use predictive modeling or AI solutions to increase and optimize customer experience/communication, revenue generation, ad targeting, and other business outcomes.
  • Excellent communication and presentation skills to present results clearly and effectively by creating presentations with storytelling, visualizations, and results.
  • Strong problem-solving skills and ability to communicate effectively with stakeholders.
Responsibilities:
  • Take accountability for technical decisions, project outcomes, timelines, and production stability within a defined domain.
  • Design, train, and optimize machine learning and deep learning models for a variety of marketing and business engagement use cases.
  • Analyze complex data sets to identify trends, patterns, and actionable insights that can inform business strategies.
  • Collaborate with stakeholders and cross-functional teams to develop and implement data-driven solutions.
  • Enable seamless integration of AI capabilities into business applications and workflows through APIs, SDKs, and microservices.
  • Visualize data, create reports, and present findings to senior management and cross-functional teams.
  • Develop statistical models, analytics, and Machine Learning algorithms using Python and cloud tools (Azure).
  • Research and stay up to date with the latest advances in AI, Data Science, and Machine Learning.
  • Optimize platform components for efficiency, scalability, and reliability using best practices in distributed computing, resource management, and cloud-native architectures.
Skills:
  • Machine Learning.
  • Artificial Intelligence.
  • Python.
  • SQL.
  • GenAI.
  • Azure ML.
  • Power BI.
  • Dominos.
  • Predictive Modeling.
  • ML-Ops.
  • Data Analysis.
  • Statistics.
Qualification And Education:
  • Bachelor's or master's degree in computer science, Data Science, Engineering, Mathematics, or a related field.
     
 

Benefits
 
Our Benefits Include:
  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.

About Cynet Systems

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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