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Insurance Data Engineer Jobs in Virginia (NOW HIRING)

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

Sentara Healthcare

Data Engineer - Remote

Virginia Beach, VA · On-site +1

$108K - $130K/yr

Sentara is hiring a Data Engineer! This is a fully remote position. Work Location: Remote ... Insurance • 401k/403B with Employer Match • Tuition Assistance - 5,250/year and discounted ...

Shift5

Staff Data Engineer

Arlington, VA · Remote

$185K - $220K/yr

We are seeking a Staff Data Engineer to join our growing Product Engineering team. In this role ... Employer-paid Life and Disability Insurance * Uncapped paid time off policy  * Flexible work ...

Shift5

$185K - $220K/yr

We are seeking a Staff Data Engineer to join our growing Product Engineering team. In this role ... Employer-paid Life and Disability Insurance * Uncapped paid time off policy * Flexible work ...

Cornerstone Defense

Data Engineer Expert

Herndon, VA · On-site

$117K - $141K/yr

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

Atreides

Mission (Data) Engineer

Arlington, VA · On-site

$131K - $158K/yr

Mission (Data) Engineer Travel: Approximately 10% international travel required. Number of Openings ... Comprehensive health, dental, and vision insurance plans * Flexible remote work environment

Atreides

Mission (Data) Engineer

Arlington, VA · Remote

$131K - $158K/yr

Mission (Data)Engineer Travel: Approximately 10% international travel required. Number of Openings ... Comprehensive health, dental, and vision insurance plans * Flexible remote work environment

Forterra Inc.

Staff Data Engineer

Arlington, VA · On-site

$145 - $175/hr

The Forterra Data Team is seeking an experienced Staff Data Engineer to support the implementation ... Basic Life/AD&D, short and long‑term disability insurance plans 100% covered by Forterra, plus ...

540

Senior Data Engineer

Arlington, VA

$121K - $165K/yr

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

540

Senior Data Engineer

Arlington, VA

$121K - $165K/yr

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

Forterra

Staff Data Engineer

Arlington, VA · On-site

$145 - $175/hr

About the role The Forterra Data Team is seeking an experienced Staff Data Engineer to support the ... Basic Life/AD&D, short and long‑term disability insurance plans 100% covered by Forterra, plus ...

AMERICAN SYSTEMS

Data Engineer - Junior

Quantico, VA

$110K - $125K/yr

The Data Engineer - Jr supports the design, development, and sustainment of data pipelines, data ... retirement plans, insurance programs, and education and training assistance. EEO Race/Sex ...

AMERICAN SYSTEMS

Data Engineer - Junior

Quantico, VA · On-site

$110K - $125K/yr

The Data Engineer - Jr supports the design, development, and sustainment of data pipelines, data ... plans, insurance programs, and education and training assistance. EEO Statement EEO Race/Sex ...

540

Senior Data Engineer

Arlington, VA · On-site

$121K - $165K/yr

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

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All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Virginia

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.

Data Engineer - Mid

Guidehouse

Mclean, VA • On-site

$115K - $139K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 11 days ago

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:
  • Design, build, and optimize scalable, production-grade data ingestion, transformation, and analytics-ready pipelines using Databricks (Delta Lake, Delta Live Tables, Auto Loader) and AWS services, enabling trusted, timely data access across enterprise use cases.
  • Engineer standardized, repeatable data pipelines supporting batch and near real-time processing, integrating legacy data sources and modern cloud-native services to advance enterprise data availability and eliminate data access gaps.
  • Execute full delivery lifecycle by supporting intake, discovery, source profiling, and technical design, while maintaining requirements traceability and aligning solutions to Architecture Review Board (ARB) and governance expectations.
  • Implement and maintain governed data pipelines with embedded metadata, lineage, and data quality controls, ensuring pipelines meet defined technical, security, and documentation requirements before production deployment.
  • Develop and operationalize data engineering frameworks that incorporate observability, monitoring, alerting, and resilient error handling to maintain platform stability and support ≥99.9% availability targets.
  • Partner with platform engineering and cloud operations teams to integrate pipelines with AWS services (S3, Glue, Kafka/Kinesis, APIs), enabling secure, scalable data movement and cross-platform interoperability.
  • Enable governed analytics and self-service data consumption through curated datasets, semantic layers, and SQL warehouse integration, supporting enterprise reporting, dashboards, and advanced analytics use cases.
  • Apply security and compliance controls aligned to IRS cybersecurity policies, including RBAC/ABAC, data masking, encryption, and audit logging to protect sensitive data and maintain regulatory compliance.

What You Will Need:
  • Bachelor's degree is required
  • EIGHT (8) or more years of experience in data engineering within cloud-based environments,
  • FOUR (4) or more years of hands-on Databricks experience designing scalable data pipelines.
  • Experience in Python, PySpark, and SQL for large-scale data processing and pipeline development in lakehouse architectures.
  • Experience building and optimizing data pipelines leveraging Delta Lake, medallion architecture, and modern data ingestion frameworks (batch and streaming).
  • Experience with AWS data platforms and services (e.g., S3, IAM, VPC, Glue, streaming frameworks) and integration with enterprise data ecosystems.
  • Experience delivering production-ready data solutions incorporating metadata management, lineage, data quality, and observability frameworks.

What Would Be Nice to Have:
  • Familiarity with DevSecOps and CI/CD pipeline implementation, including automation, testing, and deployment within cloud data environments.
  • Knowledge of data governance, security, and compliance requirements within regulated environments, including FISMA and FedRAMP High
  • Experience supporting federal data platforms or large-scale enterprise data modernization efforts, particularly within IRS, Treasury, or similar regulated environments.
  • Hands-on experience with Databricks Unity Catalog, Delta Sharing, Genie, and Clean Rooms for governed data access and collaboration.
  • Experience implementing streaming and near real-time data pipelines using Kafka, Kinesis, EventBridge, or similar technologies.
  • Familiarity with Informatica EDC/Axon or enterprise metadata/catalog tooling.
  • Experience with performance optimization techniques (Photon, Z-ordering, liquid clustering) to improve large-scale data workloads.
  • Exposure to CI/CD automation using Terraform, GitHub Actions, and Databricks Asset Bundles for infrastructure and pipeline deployment.
  • Advanced cloud or Databricks certifications (AWS, Databricks) in good standing.

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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