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Insurance Data Engineer Jobs in Virginia Beach, VA

Data Scientist

Norfolk, VA · On-site

$70 - $90/hr

Python or R Programming experience* Experience in at least one visualization tool (e.g. Tableau ... Medical, Rx, Dental & Vision Insurance* Personal and Family Sick Time & Company Paid Holidays*

Bachelor's degree in Statistics, Mathematics, Engineering, or related analytical field * Minimum 3 ... Life Insurance * Flex Spending Accounts * 401(k) Savings Plan * Tuition Assistance Program

Bachelor's degree in Statistics, Mathematics, Engineering, or related analytical field * Minimum 3 ... Life Insurance * Flex Spending Accounts * 401(k) Savings Plan * Tuition Assistance Program

Senior Network Engineer

Suffolk, VA · On-site

$98K - $135K/yr

Job Type Full-time Description NexGen Data Systems is seeking a Senior Network Engineer. Their ... Company covers 100% of premiums for the employee's medical, dental, and vision insurance and ...

Engineer

Norfolk, VA · On-site

$80K/yr

... Life Insurance • Paid time off with company holiday • Tuition Reimbursement • Employee ... Conduct shipchecks to collect data, verify as-built configurations, and support design development.

Python or R Programming experience * Experience in at least one visualization tool (e.g. Tableau ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Python or R Programming experience * Experience in at least one visualization tool (e.g. Tableau ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Showing results 21-40

Insurance Data Engineer information

See Virginia Beach, VA salary details

$42.2K

$123.1K

$168.5K

How much do insurance data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for insurance data engineer in Virginia Beach, VA is $123,104.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,700.00 and $130,500.00 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 are popular job titles related to Insurance Data Engineer jobs in Virginia Beach, VA?

For Insurance Data Engineer jobs in Virginia Beach, VA, the most frequently searched job titles are:

What job categories do people searching Insurance Data Engineer jobs in Virginia Beach, VA look for?

The top searched job categories for Insurance Data Engineer jobs in Virginia Beach, VA are:

What cities near Virginia Beach, VA are hiring for Insurance Data Engineer jobs?

Cities near Virginia Beach, VA with the most Insurance Data Engineer job openings:

Infographic showing various Insurance Data Engineer job openings in Virginia Beach, VA as of August 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 60% In-person, 20% Hybrid, and 20% Remote job distribution, with an average salary of $123,104 per year, or $59.2 per hour.

Software Engineer Level 4 with Security Clearance

Base-2 Solutions, LLC

Norfolk, VA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Job description

Job Description Position Summary Base-2 Solutions is seeking a Software Engineer Level 4 to develop, maintain, and enhance complex and diverse software systems supporting mission-focused environments. This role is centered on backend development, data engineering, and API development, with emphasis on building scalable systems using Python and FastAPI, designing and managing PostgreSQL databases, and supporting high-performance integrations across high-speed, high-volume, mission-critical, data-sensitive systems. Essential Duties and Responsibilities * Develop, maintain, and enhance complex and diverse software systems, including processing-intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, and business management information systems, based upon documented requirements. * Provide specific input to software component design, including hardware/software trade-offs, software reuse, use of COTS/GOTS in place of new development, and requirements analysis and synthesis from the system level to individual software components. * Design, implement, and integrate software applications or perform software engineering tasks. * Utilize software engineering and design methodologies appropriate to the development, integration, and production environment. * Ensure efficient delivery of software engineering capabilities using industry standards and repeatable processes. * Mitigate risks, control costs and schedule variance, and effectively manage large-scale, integrated software projects. * Review and test software components for adherence to design requirements and document test results. Required Qualifications * Active TS/SCI with CI Polygraph. * Demonstrated experience as a backend developer. * Demonstrated experience in data engineering and API development. * Experience building scalable systems with Python and FastAPI. * Experience designing and managing PostgreSQL databases with efficient SQL and indexing strategies. * Proficiency in Python. * Proficiency in FastAPI. * Proficiency in PostgreSQL. * Proficiency in Elasticsearch. * Experience building high-performance API connections between high-speed, high-volume, mission-critical, data-sensitive systems. Preferred Qualifications * Experience supporting processing-intensive analytics environments. * Experience working with extremely large data sets. * Experience supporting real-time systems. * Experience contributing to software design decisions involving software reuse, COTS/GOTS, and system-to-component requirements analysis. Required Education and Experience Equivalency * High School Diploma/GED with 13 years of experience. * Associates Degree with 11 years of experience. * Bachelors' Degree with 9 years of experience. * Masters' Degree with 7 years of experience. * PhD with 5 years of experience. Required Certifications * None specified. Required Security Clearance * Active TS/SCI with CI Polygraph. Pay & Benefit Highlights Compensation * Competitive fixed salary or hourly pay (based on experience, skills, location, and internal equity). * Employee referral bonuses up to $10,000 per hired referral. * Additional bonus opportunities for exceptional performance and contributions to business development and company growth (role-dependent). Health * 100% company-paid medical premiums for employees and eligible dependents. * Choose from multiple plan options with CareFirst, Kaiser, and UnitedHealthcare, including PPO, POS, HMO, and HSA-compatible plans. * 100% company-paid dental premiums for employees and eligible dependents. * 100% company-paid vision premiums for employees and eligible dependents. Income Protection * 100% company-paid premiums for short-term disability. * 100% company-paid premiums for long-term disability. * 100% company-paid premiums for accidental death & dismemberment (AD&D). * 100% company-paid premiums for life insurance up to $200,000. Retirement * 401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total). * 401(k) pre-tax and Roth options. Leave * Up to 20 days of flexible paid time off (PTO). * 11 paid floating holidays. Work-Life Balance * Flexible work schedules, including flex time and compressed work periods (contract and project-dependent).