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Insurance Data Engineer Jobs in Virginia (NOW HIRING)

Data Engineer

Arlington, VA · On-site

$89K - $148K/yr

Guidehouse seeks a Data Engineer with some AI experience to support in building, optimizing, and ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

New

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Data Engineer Location: Chantilly, VA *Clearance: *Active TS/SCI w/ Polygraph needed to apply ... Life and Disability Insurance * Tuition Reimbursement and Training * Perks at Work Discount Program

Data Engineer

Mclean, VA

$115K - $139K/yr

We are seeking to hire a Data Engineer to our team! Client: CTEC develops and delivers innovative ... Insurance business unit and Office of the Chief Information Officer (OCIO). Duties and ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

540 is seeking a Data Engineer to support a mission-critical technology modernization effort for ... Company-sponsored life insurance, short- and long-term disability * Professional development ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

540 is seeking a Data Engineer to support a mission-critical technology modernization effort for ... Company-sponsored life insurance, short- and long-term disability * Professional development ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

540 is seeking a Data Engineer to support a mission-critical technology modernization effort for ... Company-sponsored life insurance, short- and long-term disability * Professional development ...

Data Engineer

Arlington, VA · Remote

$131K - $158K/yr

540 is seeking a Data Engineer to support a mission-critical federal health data modernization ... Company-sponsored life insurance, short- and long-term disability * Professional development ...

Data Engineer

Fairfax, VA · On-site +1

$130K - $155K/yr

The Data Engineer will collaborate with developers, data scientists, and program stakeholders to ... insurance; a retirement plan; paid time off; and other programs to support employees and their ...

New

Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

Job#: 3046787 Data Engineer Location: Richmond, VA/ Charlotte NC (Onsite) Duration: 12 months Role ... other insurance plans that offer an optional layer of financial protection. We offer an ESPP ...

Data Engineer

Chantilly, VA · On-site

$114K - $190K/yr

The Data Engineer will leverage their development skills and experience to support the successful ... MANTECH's benefits offerings include, dependent upon position, Health Insurance, Life Insurance ...

Databricks Data Engineer

Manassas, VA · On-site

$114K - $137K/yr

Insurance is too complex. Help us make it better. Responsibilities This position requires on-site ... The Databricks Data Engineer will help design, build, deploy, and maintain scalable and production ...

Databricks Data Engineer

Manassas, VA · On-site

$114K - $137K/yr

Insurance is too complex. Help us make it better. Responsibilities This position requires on-site ... The Databricks Data Engineer will help design, build, deploy, and maintain scalable and production ...

Databricks Data Engineer

Manassas, VA · On-site

$114K - $137K/yr

Insurance is too complex. Help us make it better. This position requires on-site work Monday-Thursday at either our Manassas, VA or Chesterfield, MO location. The Databricks Data Engineer will help ...

Data Engineer

Chantilly, VA · On-site

$114K - $190K/yr

The Data Engineer will leverage their development skills and experience to support the successful ... MANTECH's benefits offerings include, dependent upon position, Health Insurance, Life Insurance ...

Data Engineer

Herndon, VA · On-site

$141K - $236K/yr

The Data Engineer will leverage their expertise with Python to support the customer's data ... MANTECH's benefits offerings include, dependent upon position, Health Insurance, Life Insurance ...

Data Engineer

Herndon, VA · On-site

$141K - $236K/yr

The Data Engineer will leverage their expertise with Python to support the customer's data ... MANTECH's benefits offerings include, dependent upon position, Health Insurance, Life Insurance ...

GCP Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Senior GCP Data Engineer Location:Remote Experience: 8+ years Our client is looking for an ... Preferred Qualifications * Healthcare, pharmacy, PBM, claims, or health insurance experience.

New

Data Engineer

Mclean, VA · On-site

$85K - $141K/yr

Data Engineering & Architecture Consulting, Data Science & Analysis Travel Required: Up to 10% ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Data Engineer

Mclean, VA · On-site

$85K - $141K/yr

Data Engineering & Architecture Consulting, Data Science & Analysis Travel Required: Up to 10% ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

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 ...

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Showing results 1-20

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 cities in Virginia are hiring for Insurance Data Engineer jobs?

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

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.

Data Engineer

Guidehouse

Arlington, VA • On-site

$89K - $148K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 3 days ago

New


Guidehouse rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

33rd of 72 rated business consultants


Job description

Job Family:

Data Science & Analysis


Travel Required:

Up to 10%


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:
Guidehouse seeks a Data Engineer with some AI experience to support in building, optimizing, and maintaining data pipelines, AI solutions, and analytics platforms. The ideal candidate will have hands-on experience with modern data engineering tools, AI solutions, CI/CD, and version control, and will collaborate with cross-functional teams to deliver high-quality, scalable data solutions.

  • Design, develop, test and maintain data pipelines and ETL processes for ingesting, transforming, and loading data from diverse sources (SQL, R, Python).

  • AI experience with prompt engineering, machine learning, agentic AI and RAG concepts

  • Build and optimize data architectures and models to support analytics, reporting, and operational needs.

  • Implement and manage CI/CD pipelines for data engineering workflows using tools such Git.

  • Develop and deploy cloud-based solutions leveraging Azure Functions, and containerization (Docker, Kubernetes).

  • Collaborate with DBAs and application developers to design and integrate data models, stored procedures, and APIs.

  • Ensure data quality and integrity through validation, monitoring, and logging.

  • Successfully juggle multiple tasks across different priorities.

  • Troubleshoot and resolve issues in production environments, ensuring high availability and reliability.

  • Document data flows, processes, and technical solutions for knowledge sharing and compliance.

  • Stay current with emerging technologies and best practices in data engineering, cloud, and DevOps.


What You Will Need:

  • U.S. Citizenship/ Green Card is required and Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST".

  • A bachelor's degree is required.

  • FIVE (5) years of experience in data engineering, software development, or related roles.

  • Experience in programming languages and technologies, including Java, Python, SQL, and PySpark, as well as API development (RESTful and SOAP).

  • Experience with Co-Pilot and CodeX.

  • Experience designing and developing data pipelines and ETL processes.

  • Extensive experience with relational and NoSQL databases, such as MySQL, PostgreSQL, SQL Server, and MongoDB, including stored procedure development.

  • Experience working with Databricks.

  • Experience with CI/CD tools and pipelines, such as Gi and, GitHub.

  • Experience operating in Agile development environments.


What Would Be Nice To Have:

  • Experience supporting federal programs and/or large-scale data modernization projects.

  • Familiarity with version control and collaboration tools, including Git, Jira, and Confluence.

  • Ability to work independently in a fast-paced environment.

  • Strong analytical and troubleshooting skills.

  • Excellent verbal and written communication skills, with the ability to clearly communicate complex technical concepts to diverse audiences.

  • Familiarity with containerization and orchestration technologies

  • Experience with data visualization tools (e.g., Kibana, Tableau).

  • Familiarity with security best practices and compliance in federal environments.

  • Experience with microservices, Spring Boot, and integration of AI/ML components.

  • Previous consulting experience

The annual salary range for this position is $89,000.00-$148,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Parental Leave

  • 401(k) Retirement Plan

  • Group Term Life and Travel Assistance

  • Voluntary Life and AD&D Insurance

  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

  • Transit and Parking Commuter Benefits

  • Short-Term & Long-Term Disability

  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Care.com annual membership

  • Employee Assistance Program

  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.


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