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

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 ...

Investure

Software Engineer

Charlottesville, VA · On-site +1

$115K - $125K/yr

... insurance. The annual base salary range for this position is a guideline and not a guarantee of ... Troubleshoot and improve existing applications, data pipelines, integrations, and reporting ...

ANS

Senior Electrical Engineer

Charlottesville, VA

$139K - $170K/yr

We're allergic to bureaucracy, thrive on innovation, and embrace data-driven decisions. If you love ... vision insurance Life insurance Unlimited PTO Professional development assistance Bonus ...

Investure

Software Engineer

Charlottesville, VA · On-site

$115K - $125K/yr

... insurance. The annual base salary range for this position is a guideline and not a guarantee of ... Troubleshoot and improve existing applications, data pipelines, integrations, and reporting ...

ANS

Senior Electrical Engineer

Charlottesville, VA · On-site

$139K - $170K/yr

We're allergic to bureaucracy, thrive on innovation, and embrace data-driven decisions. If you love ... vision insurance Life insurance Unlimited PTO Professional development assistance Bonus ...

Daikin Applied

Quality Engineer II

Staunton, VA · On-site

$74K - $124K/yr

Document data obtained during quality reviews and use quality tools such as statistical process ... Multiple medical insurance plan options + dental and vision insurance * 401K retirement plan with ...

Daikinapplied

Quality Engineer II

Staunton, VA

$74K - $124K/yr

Document data obtained during quality reviews and use quality tools such as statistical process ... Multiple medical insurance plan options + dental and vision insurance * 401K retirement plan with ...

Daikinapplied

Electrical Engineer

Staunton, VA

$62K - $100K/yr

Review test data from power electronic equipment to evaluate suitability and performance * Support ... Multiple medical insurance plan options + dental and vision insurance * 401K retirement plan with ...

Daikin Applied

Electrical Engineer

Staunton, VA · On-site

$62K - $100K/yr

Review test data from power electronic equipment to evaluate suitability and performance * Support ... Multiple medical insurance plan options + dental and vision insurance * 401K retirement plan with ...

Daikin Applied

Marketing Engineer II

Staunton, VA · On-site

$74K/yr

Collects and researches data. Uses intuition and experience to complement data. * Design ... Multiple medical insurance plan options + dental and vision insurance * 401K retirement plan with ...

Power Monitors, Inc.

Electronic Design Engineer

VA · On-site

$65K - $130K/yr

Interface with external device applications including PMI's PQ Canvass (web-based data analysis ... Employer-paid life insurance * Paid time off (PTO) * 401(k) with company match * Education ...

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Showing results 1-20

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

Insurance Data Engineer information

See Waynesboro, VA salary details

$42.8K

$124.8K

$170.8K

How much do insurance data engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for insurance data engineer in Waynesboro, VA is $124,790.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,200.00 and $132,300.00 per year, depending on experience, location, and employer.

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.

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

Data Engineer - Sr

Nalley Consulting

Charlottesville, VA • On-site

$109K - $131K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Job description

Join the mission on the Nalley Consulting team.
Position: Data Engineer
LCAT: Senior
Location: Charlottesville, VA
Required clearance: TS/SCI and current CI poly
Required experience and education: Bachelor's degree or equivalent experience; CompTIA Security+ certification
Description
You'll use your expertise to help build advanced technology solutions and lead data engineering activities on some of the most mission-driven projects in the industry. You'll guide data engineering activities by overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful.
You'll mentor a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll use your expertise in analytical exploration and data examination while you oversee the assessment, design, building, and maintenance of scalable platforms for your clients.
Duties
This role encompasses both Data Science and Data Engineering disciplines and requires raw coding experience without AI assisted IDEs. Duties typically include:
  • Conducting data analytics, data engineering, data mining, exploratory analysis, predicative analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
  • Proactively retrieving information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes. Creating various ML-based tools or processes such as recommendation engines or automated lead scoring systems.
  • Performing statistical analysis, applies data mining techniques, and builds high quality prediction systems.
  • Utilizing skills in data visualization and graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and margining of disparate data sources, preferably through Python, or SQL; statistical analysis; and data mining algorithms.
  • Utilizing experience with large data Multi-INT analytics, ML, and automated predicative analytics.

Required qualifications
  • 3+ years of experience designing, developing, operationalizing, and maintaining complex data applications
  • 3+ years of experience with raw coding of Python or Java, PostgreSQL or similar databases
  • 3+ years of experience developing code for data manipulation, data analysis, or data modeling
  • Experience creating and integrating code for retrieving, parsing, and processing data across multiple systems or applications
  • Experience developing scripts and programs for converting various types of data into usable formats and supporting project teams to scale, monitor, and operate data platforms in support of specific mission goals
  • Experience in the development of algorithms leveraging Python and SQL
  • Experience with Python data science and visualization packages
  • Experience with leading the development of solutions to complex problems
  • Experience working within a TS environment with onsite development tools
  • Experience with database administration or data analytics
  • Experience with structured and unstructured data
  • CompTIA Security+ certification
Desired qualifications
  • 12+ years of experience in Extract, Transform, and Load (ETL) processes
  • 7+ years of experience designing, developing, operationalizing, and maintaining complex data applications
  • 7+ years of experience with raw coding of Python or Java, PostgreSQL or similar databases
  • 7+ years of experience developing code for data manipulation, data analysis, or data modeling
  • 3+ years of experience with AI and ML implementation and development
  • Experience with DevSecOps tools, including GitHub
  • Experience working within the Intel Community
  • Experience with a cloud environment, including AWS, Microsoft Azure, or Google Cloud
  • Experience with Streamlit, Tkinter
  • Experience with Agile software development

ABOUT NALLEY CONSULTING
Nalley Consulting is a Service Disabled Veteran Owned Small Business working with prime partners to staff Department of Defense and Intelligence Community positions. Created by a U.S. Navy intelligence veteran, Nalley Consulting has grown to include multiple IDIQ vehicles in several states.
Nalley Consulting fringe benefits include:
  • Excellent medical, dental, and vision benefits
  • PTO
  • 11 paid federal holidays
  • Tuition assistance
  • Paid military-reserve leave
  • Paid parental leave for birth or adoption
  • 401k matching up to 5 percent of the base salary
  • Flex time
  • Company-paid short-term disability, long-term disability, and life insurance.

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