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

AdvanSix

Big Data Engineer

Chester, VA · On-site

$104K - $156K/yr

... insurance, employee assistance program • Tuition reimbursement for continued education ... Data Engineering & Modeling • Build ingestion pipelines (batch, CDC, streaming) from S/4HANA ...

Apex Systems

Senior Data Engineer

Richmond, VA · On-site

$65 - $70.24/hr

Job#: 3035809 Senior Data Engineer Location: Richmond, VA (On-site) Employment Type: Contract ... other insurance plans that offer an optional layer of financial protection. We offer an ESPP ...

Amatriot Group, LLC

Data Architect

Glen Allen, VA

$100K - $155K/yr

Partner with engineering teams to support detailed solution design and implementation through ... Experience working in Property and Casualty insurance data domains. * Understanding of London and ...

New

Key Choice Group

Senior Data Engineer/Architect

Richmond, VA · 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 ...

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All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Powhatan, VA

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 Jul 15, 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.

How much do insurance engineers make?

Insurance data engineers typically earn a median salary ranging from $80,000 to $120,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL can command higher salaries. Compensation may also include benefits such as bonuses and professional development opportunities.

What engineers make $500,000?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership roles. High compensation is often associated with seniority, complex data systems, and working in competitive markets or large organizations.

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.

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.

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.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, manage, and oversee data infrastructure. Data engineers are essential for building scalable data pipelines, ensuring data quality, and implementing AI solutions effectively. Their expertise remains critical in managing complex data environments and integrating AI tools into business processes.

What engineers make 300,000 a year?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $300,000 or more annually, especially with extensive experience, advanced skills in SQL, Python, cloud platforms, and certifications. High-level roles often involve leadership, complex data architecture, and strategic decision-making, typically in large organizations or with specialized expertise.
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Insurance Data Engineer jobs near you
Lead Data Architect - Data Lakes

Lead Data Architect - Data Lakes

Albano Systems Inc

Richmond, VA • On-site

Other

Posted 5 days ago

New

Job description

This is a 6 month contract-to-hire and needs to meet Client full-time conversion policies. Those dependent on a work permit sponsor now or anytime in the future (ie H1B, OPT, CPT, etc) do not meet Client requirements for this opening.

**MUST BE HYBRID in Richmond, VA

**MUST BE W2; No Corp-to-Corp**

The Lead Data Architect provides strategic and hands-on leadership across divisional data initiatives, guiding delivery teams in building scalable data solutions within a modern cloud-based data ecosystem. This role balances high-level architecture with practical execution, ensuring data solutions align with business needs, performance requirements, and long-term architecture goals.

Key Responsibilities

  • As part of a data architecture organization, provide architectural guidance to two or three concurrent data delivery teams (typically 4 5 engineers per team) across data initiatives
  • Design and evolve data architecture across a Databricks-first lakehouse in a broader Azure ecosystem, understanding both target state and appropriate trade-offs
  • Partner with engineering teams to support their detailed solutions and implementation through design reviews, guidance, and targeted hands-on contribution where needed
  • Specify data solutions that meet non-functional requirements (NFRs) such as scalability, performance, and reliability
  • Perform technology evaluations in support of the teams, with appropriate recommendations and reasoning
  • Assess technical challenges and problems, provide options, and make recommendations
  • Guide ingestion and integration strategies, including API-based data exchange
  • Lead without direct reporting authority, influencing teams through expertise and collaboration

Required Experience & Qualifications

  • ~7 10 years of progressive experience in data engineering, pipeline development, and data architecture roles developing Data Lakes and Data Warehouses
  • Background progressing from developer through at least team lead
  • Strong experience designing and working with the full lifecycle of data-centric architectures
  • Hands-on experience with cloud development in Databricks
  • Experience with structured and unstructured data (e.g., JSON, files, media)
  • Understanding of both relational and non-relational solutions
  • Understanding of APIs and data integration patterns
  • Strong communication and stakeholder influence skills (written + verbal)
  • Know when to make independent decisions and when to circle back to the broader team with appropriate questions
  • Work within a new domain by identifying gaps in knowledge and actively seeking answers

Preferred Qualifications

  • Experience with Guidewire Insurance Suite data
  • Azure Solutions Architect certification (nice-to-have)
  • Experience working in Property & Casualty insurance data domains
  • An understanding of London and international markets would be a plus

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