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Insurance Data Engineer Jobs in Virginia (NOW HIRING)

Cornerstone Defense

Chief Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Life and Disability Insurance * Tuition Reimbursement and Training * Perks at Work Discount Program ... The Data Engineer will enhance the program's ability to integrate data from varied data sets and ...

Imagineeer LLC

Data Engineer

Arlington, VA · On-site

$130K - $157K/yr

Health insurance * Paid time off About this Role: Imagineeer is seeking a Data Engineer to support the design, development, and maintenance of secure, compliant data pipelines and enterprise data ...

Nalley Consulting

Data Engineer - Sr

Charlottesville, VA · On-site

$109K - $131K/yr

Data Engineer LCAT: Senior Location: Charlottesville, VA Required clearance: TS/SCI and current CI ... Company-paid short-term disability, long-term disability, and life insurance. Powered by JazzHR ...

AMERICAN SYSTEMS

Data Engineer - Mid

Quantico, VA

$135K - $155K/yr

The Data Engineer - Mid designs, develops, and maintains scalable data pipelines, data models, and ... retirement plans, insurance programs, and education and training assistance. EEO Race/Sex ...

AMERICAN SYSTEMS

Data Engineer - Mid

Quantico, VA · On-site

$135K - $155K/yr

The Data Engineer - Mid designs, develops, and maintains scalable data pipelines, data models, and ... plans, insurance programs, and education and training assistance. EEO Statement EEO Race/Sex ...

Contact Government Services, LLC

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... Therefore, we offer a comprehensive benefits package: -Health, Dental, and Vision -Life Insurance ...

Contact Government Services, LLC

Data Engineer

Fairfax, VA · On-site

$117K - $140K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... Therefore, we offer a comprehensive benefits package: -Health, Dental, and Vision -Life Insurance ...

Parsons

Cloud Data Engineer

Falls Church, VA

$112K - $196K/yr

Parsons is looking for a hands-on Cloud Data Engineer to join our team supporting mission-critical ... insurance, flexible work schedules, and holidays to fit your busy lifestyle! Parsons is an equal ...

Parsons Corporation

Cloud Data Engineer

Falls Church, VA · On-site

$112K - $196K/yr

Parsons is looking for a hands-on Cloud Data Engineer to join our team supporting mission-critical ... insurance, flexible work schedules, and holidays to fit your busy lifestyle! Parsons is an equal ...

Cymertek

Big Data Engineer

Chantilly, VA · On-site

$57.50 - $76.25/hr

Big Data Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... No cost to you. * Life Insurance - 100% employee coverage. No cost to you. * Additional ...

Cymertek

Big Data Engineer

Tysons, VA · On-site

$56 - $74/hr

Big Data Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this position ... No cost to you. * Life Insurance - 100% employee coverage. No cost to you. * Additional ...

Cymertek

Big Data Engineer

Reston, VA · On-site

$58 - $76.75/hr

Big Data Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this position ... No cost to you. * Life Insurance - 100% employee coverage. No cost to you. * Additional ...

Guidehouse

Data Engineer - Mid

Mclean, VA · On-site

$115K - $139K/yr

Engineer standardized, repeatable data pipelines supporting batch and near real-time processing ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

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Insurance Data Engineer information

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?

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

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

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

What cities in Virginia are hiring for Insurance Data Engineer jobs?

Cities in Virginia with the most Insurance Data Engineer job openings:

Insurance Data Engineer jobs near you
Infographic showing various Insurance Data Engineer job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 27% Part Time, and 4% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

Chief Data Engineer

Cornerstone Defense

Chantilly, VA • On-site

$117K - $140K/yr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago

Job description

  • Location: Chantilly, Virginia
  • Type: Contract
  • Job #3772

Position Chief Data Engineer
Work Location McLean, VA
Security Clearance TS/SCI with Polygraph
Company Overview:
Cornerstone Defense is the Employer of Choice within the Intelligence, Defense, and Space communities of the U.S. Government. Realizing early on that our most prized assets are our employees, we continually focus our attention on improving the overall work/life experience they have supporting the mission. Our Team is pushed every day to use their industry leading knowledge to provide end-to-end solutions to combat our nation's toughest and most secure problems. If you are looking for a place to not only be professionally challenged, but encouraged and supported by a company that cares, don't look any further than Cornerstone Defense.
Benefits Overview :
Cornerstone Defense offers a very comprehensive benefits package including, but not limited to: Medical, Dental and Vision Plans * Generous PTO Policy * 401(k) * HSA and FSA options * Life and Disability Insurance * Tuition Reimbursement and Training * Perks at Work Discount Program * Referral Program * Leads Generation Program * CollegeAmerica 529 * Fitness Reimbursement Program * Travel Assistance * Norton Lifelock Benefit Solutions * Life Planning Financial & Legal Services *
Position Description
We are seeking a skilled Data Engineer to support one of our Intelligence customers. The ideal candidate will have a strong background in data engineering and integration, with a focus on normalizing data from diverse sources for advanced analytical methodologies. The Data Engineer will enhance the program's ability to integrate data from varied data sets and capitalize on emerging analytic capabilities developed across the Intelligence Community (IC).
Key Responsibilities:
  • Integrate data from a wide range of data sets with varying formatting and tagging standards.
  • Normalize and standardize data for incorporation into AI/ML enabled analytical methodologies.
  • Collaborate with cross-functional teams and stakeholders to understand data requirements and ensure seamless integration.
  • Develop and maintain data pipelines, ETL processes, and data integration workflows.
  • Ensure data quality, consistency, and accuracy throughout the integration process.
  • Stay current with emerging data engineering technologies and best practices.
  • Provide guidance and mentorship to non-technical team members on data engineering methodologies and best practices.
  • Create and maintain documentation for data integration processes and workflows.

Qualifications
  • Active TS/SCI with CI Polygraph is required.
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. Advanced degree preferred.
  • Minimum of 8 years of experience in data engineering or a related field.
  • Proven experience in integrating data from diverse sources with varying formats and tagging standards.
  • Strong understanding of data normalization, standardization, and ETL processes.
  • Experience with data processing platforms such as Hadoop, Spark, and cloud services (AWS, Azure, GCP).
  • Proficiency in programming languages such as Python, SQL, and tools like Apache NiFi, Talend, or similar ETL tools.
  • Ability to work independently and as part of a team in a fast-paced, dynamic environment.
  • Excellent problem-solving skills and the ability to think critically and strategically.
  • Strong communication and interpersonal skills to effectively collaborate with stakeholders and present findings.
  • Experience working within the Intelligence Community (IC) or other government agencies.
  • Active TS/SCI clearance with CI Polygraph is required.

Preferred Qualifications:
  • Familiarity with AI/ML enabled analytical methodologies and emerging analytic capabilities.
  • Knowledge of national security threats and data exploitation strategies.

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