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Insurance Data Engineer Jobs in Powhatan, VA (NOW HIRING)

Data Engineer

Richmond, VA ยท On-site

$113K - $136K/yr

Join Kinsale Insurance, a leading excess and surplus (E&S) lines carrier headquartered in Richmond ... About the Role As a Data Engineer on Kinsale's Technology team, you'll be at the heart of building ...

Data Engineer

Richmond, VA ยท On-site

$113K - $136K/yr

Join Kinsale Insurance, a leading excess and surplus (E&S) lines carrier headquartered in Richmond ... About the Role As a Data Engineer on Kinsale's Technology team, you'll be at the heart of building ...

Data Engineer

Richmond, VA

$113K - $136K/yr

Join Kinsale Insurance, a leading excess and surplus (E&S) lines carrier headquartered in Richmond ... About the Role As a Data Engineer on Kinsale's Technology team, you'll be at the heart of building ...

Lead Data Engineer

Richmond, VA ยท Remote

$117K - $140K/yr

As a Lead Data Engineer, you will drive the design and evolution of the company's data platform ... Experience working within healthcare, insurance, or regulated industries. Working Conditions ...

New

Senior Data Engineer/Architect

Richmond, VA ยท On-site

$61.75 - $82.75/hr

Senior Data Engineer/Architect Our client, a forward thinking insurance company, is seeking a talented Senior Data Engineer/Architect to join their team, hit the ground running, and help drive to ...

Data Engineer (AWS, Azure, GCP)

Richmond, VA ยท On-site

$113K - $136K/yr

CapTech Data Engineering consultants enable clients to build and maintain advanced data systems ... insurance, paid family leave and more, we've launched extended benefits to help meet our employees ...

Data Engineer (AWS, Azure, GCP)

Richmond, VA ยท On-site

$113K - $136K/yr

CapTech Data Engineering consultants enable clients to build and maintain advanced data systems ... insurance, paid family leave and more, we've launched extended benefits to help meet our employees ...

Data Engineer (AWS, Azure, GCP)

Richmond, VA ยท On-site

$113K - $136K/yr

CapTech Data Engineering consultants enable clients to build and maintain advanced data systems ... insurance, paid family leave and more, we've launched extended benefits to help meet our employees ...

Data Engineer (AWS, Azure, GCP)

Richmond, VA ยท On-site

$113K - $136K/yr

CapTech Data Engineering consultants enable clients to build and maintain advanced data systems ... insurance, paid family leave and more, we've launched extended benefits to help meet our employees ...

Data Engineer (AWS, Azure, GCP)

Richmond, VA ยท On-site

$113K - $136K/yr

CapTech Data Engineering consultants enable clients to build and maintain advanced data systems ... insurance, paid family leave and more, we've launched extended benefits to help meet our employees ...

Data Engineer (AWS, Azure, GCP)

Richmond, VA ยท On-site

$113K - $136K/yr

CapTech Data Engineering consultants enable clients to build and maintain advanced data systems ... insurance, paid family leave and more, we've launched extended benefits to help meet our employees ...

Data Engineer (AWS, Azure, GCP)

Richmond, VA ยท On-site

$113K - $136K/yr

CapTech Data Engineering consultants enable clients to build and maintain advanced data systems ... insurance, paid family leave and more, we've launched extended benefits to help meet our employees ...

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Insurance Data Engineer information

See Powhatan, VA salary details

$41.3K

$120.5K

$164.9K

How much do insurance data engineer jobs pay per year?

As of Jun 22, 2026, the average yearly pay for insurance data engineer in Powhatan, VA is $120,516.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,400.00 and $127,700.00 per year, depending on experience, location, and employer.

What health insurance covers Wegovy?

As an Insurance Data Engineer, understanding insurance coverage is essential. Coverage for Wegovy, a prescription weight management medication, varies by insurance plan and provider. Many health insurance plans, including some employer-sponsored plans and Medicare, may cover Wegovy if prescribed for approved indications, but prior authorization is often required.

What is the best cheapest insurance?

As an Insurance Data Engineer, evaluating the cheapest insurance involves analyzing data from multiple providers to identify affordable options that meet coverage needs. Comparing quotes, understanding policy details, and using data analysis tools can help find cost-effective insurance plans. However, the cheapest option may not always offer the best coverage, so balancing cost and coverage is essential.

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.

Does health insurance cover a pacemaker?

As an Insurance Data Engineer, you should know that health insurance typically covers pacemaker implantation and related procedures if deemed medically necessary, though coverage details vary by plan. Patients usually need prior authorization, and coverage may include device costs, surgery, and follow-up care. It is important to review specific policy terms and provider networks for accurate coverage information.

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.

Who does the cheapest insurance?

Insurance Data Engineers analyze data to help insurance companies identify cost-effective policies and pricing strategies. The cheapest insurance options typically depend on factors like coverage needs, customer profile, and provider discounts, rather than a specific role. Consumers should compare quotes from multiple providers to find the most affordable coverage.

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 job categories do people searching Insurance Data Engineer jobs in Powhatan, VA look for? The top searched job categories for Insurance Data Engineer jobs in Powhatan, VA are:
What cities near Powhatan, VA are hiring for Insurance Data Engineer jobs? Cities near Powhatan, VA with the most Insurance Data Engineer job openings:
Data Engineer

Data Engineer

Kinsale Insurance

Richmond, VA โ€ข On-site

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

Are you a skilled data professional who thrives on turning complex data into business-driving insights? Join Kinsale Insurance, a leading excess and surplus (E&S) lines carrier headquartered in Richmond, VA. We're known for our innovative, data-driven approach and high-touch solutions that help clients navigate complex risks. At Kinsale, technology isn't just support โ€” it's a strategic advantage, and our Data Engineers are central to that mission.

About the Role

As a Data Engineer on Kinsale's Technology team, you'll be at the heart of building, testing, and deploying the data pipelines that fuel our company's decision-making. You'll collaborate closely with Data Architects, Data Analysts, and our Data Ops Manager to design scalable solutions, develop data access APIs, and evolve our analytics platform. This role is ideal for someone who is equally passionate about clean architecture and practical results โ€” and who is excited to incorporate AI tools to work smarter and faster.

What You'll Do
  • Designing, developing, and maintaining efficient, scalable data pipelines that align with business requirements.
  • Implementing ETL processes and data conversions using industry-standard tools and best practices.
  • Conducting complex data analysis and generating comprehensive reports to support strategic initiatives.
  • Developing and managing data access APIs interfaced by various internal and external services.
  • Monitoring system performance and proposing improvements to enhance data reliability, efficiency, and quality.
  • Diagnosing and resolving root-cause issues related to database platforms and their integrations.
  • Leveraging Generative AI tools (e.g., Claude Code, ChatGPT) to accelerate code generation, documentation, and development workflows โ€” while applying sound judgment around data sensitivity and AI usage boundaries.
  • Creating and maintaining documentation for databases and data processes to ensure team continuity and knowledge sharing.
What You Bring
  • Bachelor's degree in Computer Science, Technology, or a related field โ€” or equivalent hands-on experience.
  • Advanced SQL knowledge and experience with relational databases, query authoring, and database object creation.
  • Strong proficiency in Python for data engineering and automation tasks.
  • Proven experience building data transformation processes, managing data structures, and handling workload dependencies.
  • Experience with public cloud database architecture and implementing database technologies at scale.
  • Analytical problem-solving mindset with the ability to identify and resolve issues efficiently while keeping solutions simple.
  • Ability to manage multiple initiatives independently and collaborate effectively across cross-functional teams.
  • AWS Associate-level certification, CI/CD pipeline experience (Liquibase, Redgate), or familiarity with BI tools such as Qlik Sense/Qlik View are a plus.
  • Knowledge of dimensional modeling, data warehouses, data vaults, or machine learning tools is a welcome bonus.
Why You'll Love Working at Kinsale
  • Competitive Pay & Bonus Opportunities โ€“ Rewarding performance and initiative with a strong base salary and performance-based bonuses.
  • Comprehensive Benefits โ€“ Health, dental, and vision insurance with up to $3,600 (individual) or $6,800 (family) in HSA contributions per year.
  • Work-Life Balance โ€“ Generous paid time off including 22 days of PTO and 10 paid company holidays.
  • Career Growth โ€“ Clear promotion paths, mentorship, and ongoing professional development in a high-performing environment.
  • Retirement & Security โ€“ Up to 6% matching 401(k) contributions on base salary and bonus, plus standard life insurance and disability coverage.
  • Continuous Learning โ€“ Annual $3,000 reimbursement for educational training and certifications to keep your skills cutting-edge.
Integrity & Responsibility

Kinsale values strong financial responsibility. A credit check will be conducted as part of the selection process for roles that require sound judgment, trustworthiness, or access to sensitive information.

Ready to Apply?

If you're passionate about data, eager to build solutions that matter, and ready to grow with a company that rewards excellence and collaboration, we want to hear from you. Join Kinsale Insurance and help shape the data infrastructure behind one of the industry's top performers.

Apply today and start building your future with us!