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

Comfort with data modeling and ETL concepts and partnering with Data Engineers to embed controls ... Company-paid benefits such as life insurance, short-term disability, and long-term disability ...

... of prompt engineering, retrieval architectures, and AI-assisted business workflows. Business ... Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term ...

... of prompt engineering, retrieval architectures, and AI-assisted business workflows. Business ... Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term ...

This position is ideal for a data professional with deep dbt expertise, strong SQL skills, and a ... Company-paid benefits such as life insurance, short-term disability, and long-term disability ...

Provide technical leadership across machine learning, statistical modeling, feature engineering ... We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of ...

Data Architect

Apex, NC · On-site

$110K - $205K/yr

In this role, you will work across four engineering verticals-each responsible for its own endtoend ... critical illness insurance, accident insurance, parental leave, caregiver leave, tuition ...

*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 ... CAI Benefits: • Comprehensive Health Insurance coverage • 24 days of Paid Time Off • Company ...

*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 ...

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Showing results 1-20

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 Jul 16, 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.

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 Raleigh, NC? For Insurance Data Engineer jobs in Raleigh, NC, the most frequently searched job titles 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 July 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 80% In-person, 14% Hybrid, and 6% Remote job distribution, with an average salary of $126,095 per year, or $60.6 per hour.
Data Quality Analyst

Data Quality Analyst

CAPTRUST

Raleigh, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


Job description

WHO are we looking for?

CAPTRUST is seeking a Data Quality Analyst to lead the firm's data quality program. This Analyst will partner with teams across the firm to define, monitor, track, and enforce data quality rules that improve trust in reporting and analytics. This role is ideal for an experienced professional who combines strong SQL skills with cross-department collaboration to identify issues and drive remediation.


  • Lead the firm's data quality program by identifying, defining, and prioritizing data quality rules in partnership with business owners and data stewards
  • Design and maintain automated SQL based data quality tests via dbt and collaborate with data engineers to embed testing into the analytics warehouse build process
  • Define critical data elements (CDEs) and measurable quality standards (e.g., completeness, validity, accuracy, timeliness) and document acceptance criteria
  • Monitor data quality through reports and dashboards, implementing alerts, tracking trends, SLAs, and communicating status, risks, and progress to business owners
  • Manage the data quality issue lifecycle from detection through remediation and verification, including triage, ownership, and root cause analysis
  • Promote data quality best practices, support governance alignment (definitions, metadata, lineage), and maintain clear documentation of rules, exceptions, and coverage

Minimum Qualifications:

  • Bachelor's degree in data analytics, computer science, information systems, or a related field (or equivalent work experience)
  • 6+ years of experience in a data quality, analytics, business intelligence, or data engineering-adjacent role
  • Advanced proficiency in SQL, including complex queries for profiling, validation, reconciliation, and root cause analysis
  • Experience defining and operationalizing data quality rules, thresholds, and automated checks, including monitoring and exception handling
  • Understanding of data governance concepts (definitions, metadata, lineage, stewardship) and how they support secure, discoverable, and documented data assets
  • Ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced environment
  • Strong business acumen and problem-solving skills, with the ability to explain data issues, impacts, and remediation options in business-friendly terms

Desired Qualifications/Skills:

  • Familiarity with dbt (tests, sources, models, documentation) or similar frameworks.
  • Experience with Power BI or similar business intelligence platforms.
  • Experience operating a data issue management process (ticketing, severity, SLAs) and coordinating remediation across teams.
  • Comfort with data modeling and ETL concepts and partnering with Data Engineers to embed controls into pipelines and CI/CD.
  • Experience working with CRM systems (e.g. Microsoft Dynamics)
  • Excellent communication and stakeholder management skills, with the ability to influence without authority and drive adoption of standards.
  • High standard of professionalism, integrity, and accountability.

WHAT can you expect from your career at CAPTRUST?

Our colleagues, like our clients, tend to stay with CAPTRUST for years. There’s a reason for it; it’s a great culture in which to work and grow. We all work together, each of us motivating those around us with our commitment to high standards. At CAPTRUST, expect a fully stocked break room, fun employee events, and a quality team surrounding you with opportunities for personal growth.

Our Employee Benefits Package shows how much we value our team. Some benefits include:

  • Company discretionary bonus
  • Health, dental, and vision coverage, employer 401(k) plan and company match, health savings accounts, flexible spending accounts, and voluntary supplemental plans subject to plan terms
  • Company-paid benefits such as life insurance, short-term disability, and long-term disability, subject to applicable waiting periods.
  • Paid time off (PTO) or Paid Sick Leave (PSL)

WHERE will you be working?

4208 Six Forks Rd #1700 | Raleigh, NC 27609

Due to the nature of the role, this is not a remote or work from home position. #LI-Onsite

HOW do we build a world class organization one brick at a time?

We make it a priority to hire those who have a commitment to service, a real interest in other people, and a passion to continuously improve. Simply put: the difference at CAPTRUST is the quality of our people and depth of our bench. If you are ready to make your mark, we want to talk to you.

Are you the next brick?

To get it done the CAPTRUST Way, an individual should exhibit the following characteristics:

  • Ability to build successful, collaborative, and trusting relationships
  • Instinctive aptitude for consistently creating accurate, concise, respectful, and easy-to-understand verbal and written communications conveying complex information
  • A strong sense of urgency about getting work done and solving problems to achieve results that benefit our clients and colleagues, even when faced with challenges
  • Inherent desire to give back to our communities and enrich the lives of those around us
  • An other-centered mindset
  • Integrity through maintaining objectivity

EEO/Diversity Statement:

At CAPTRUST, we are committed to building and maintaining a diverse workforce and inclusive work environment where ALL colleagues feel authentically seen, respected, and supported.

It is our intent to maintain a work environment that is free of harassment, discrimination, or retaliation because of sex (including pregnancy, childbirth, or other related medical conditions), gender, race (including hair texture or hairstyles associated with race), religion, color, national origin, ancestry, physical or mental disability, genetic information, age, sexual orientation, gender identity, gender expression, protected veteran status, uniformed service, or any other status protected by federal, state, or local laws. #mid-senior

This position will remain open until filled.