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

Data Engineer

Chantilly, VA ยท 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 ...

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

Fairfax, VA ยท 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 ...

Data Engineer

Chantilly, VA ยท 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

Chantilly, VA ยท 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 ยท 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 ยท 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 ยท 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 ยท 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 ยท 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

Chief Data Engineer

Chantilly, VA ยท On-site

$117K - $140K/yr

Life and Disability Insurance * Tuition Reimbursement and Training * Perks at Work Discount Program ... The Data Engineer will enhance the program's ability to integrate data from varied data sets and ...

Data Engineer

Fairfax, VA ยท On-site

$117K - $140K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... Therefore, we offer a comprehensive benefits package: -Health, Dental, and Vision -Life Insurance ...

Big Data Engineer

Chantilly, VA ยท On-site

$57.50 - $76.25/hr

Big Data Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... No cost to you. * Life Insurance - 100% employee coverage. No cost to you. * Additional ...

Big Data Engineer

Reston, VA ยท On-site

$58 - $76.75/hr

Big Data Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this position ... No cost to you. * Life Insurance - 100% employee coverage. No cost to you. * Additional ...

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Showing results 1-20

Insurance Data Engineer information

See Leesburg, VA salary details

$45K

$131.2K

$179.5K

How much do insurance data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for insurance data engineer in Leesburg, VA is $131,205.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,800.00 and $139,100.00 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.

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 Leesburg, VA?

For Insurance Data Engineer jobs in Leesburg, VA, the most frequently searched job titles are:

What job categories do people searching Insurance Data Engineer jobs in Leesburg, VA look for?

The top searched job categories for Insurance Data Engineer jobs in Leesburg, VA are:

What cities near Leesburg, VA are hiring for Insurance Data Engineer jobs?

Cities near Leesburg, VA with the most Insurance Data Engineer job openings:

Data Engineer

Cornerstone Defense

Chantilly, VA โ€ข On-site

$117K - $140K/yr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago


Job description

  • Location: Chantilly, Virginia
  • Type: Contract
  • Job #3714

Title: Data Engineer
Location: Chantilly, VA
*Clearance: *Active TS/SCI w/ Polygraph needed to apply *
Company Overview:
Cornerstone Defense is the Employer of Choice within the Intelligence, Defense, and Space communities of the U.S. Government. Realizing early on that our most prized assets are our employees, we continually focus our attention on improving the overall work/life experience they have supporting the mission. Our Team is pushed every day to use their industry leading knowledge to provide end-to-end solutions to combat our nation's toughest and most secure problems. If you are looking for a place to not only be professionally challenged, but encouraged and supported by a company that cares, don't look any further than Cornerstone Defense.
Benefits Overview :
Cornerstone Defense offers a very comprehensive benefits package including, but not limited to: Medical, Dental and Vision Plans * Generous PTO Policy * 401(k) * HSA and FSA options * Life and Disability Insurance * Tuition Reimbursement and Training * Perks at Work Discount Program * Referral Program * Leads Generation Program * CollegeAmerica 529 * Fitness Reimbursement Program * Travel Assistance * Norton Lifelock Benefit Solutions * Life Planning Financial & Legal Services *
Develop new tools, code, and services to execute data engineering activities involving data of varying types and in varying conditions. Activities include the following tasks: Movement of structure and unstructured data using approved methods. Execute data ingestion activities for storing data in a local or enterprise level location. Develop code to format data that supports exploration. Analyze source data formats and work with Data Scientists and partners to determine the formats and transforms that best meet mission objectives. Develop code and tools to provide one-time and on-going data extraction from various repositories, formatting and transformations into enterprise or standalone data models. Develop new ETL and perform O&M and enhancements on existing ETL code using best practices/standards. Develop and deliver documentation for each project including ETL mappings, code use guide, code location and access instructions.
  • Design and optimize Data Pipelines using tools such as Spark, Apache Iceberg, Trino, OpenSearch, EMR cloud services, NiFi and Kubernetes containers
  • Ensure the pedigree and provenance of the data is maintained such that the access to data is protected
  • Clean and preprocess data to enable access for advanced analytics
  • Collaborate with enterprise working groups to advance the state of data standards
  • Collaborate with the engineering team, data stewards, and mission partners to aid in getting actionable value out of the data holdings
  • Collaborate with software engineers to update, configure, and maintain data services based on the requirements
  • Ensure data quality by working with the testing and data quality team to enhance standardization of data conditioning pipelines
  • Experience adapting to various types and formats of data, and working with development teams to integrate new data processing platforms

Required Skills:
  • 10+ years' experience with:
  • Data lifecycle engineering
  • Development and maintenance of extract, transform and load (ETL) tools and services
  • Cloud and on-prem data storage and processing solutions
  • Python, SQL, Spark and other data engineering programming
  • COTS and open source data engineering tools such as ElasticSearch and NiFi
  • Processing data within the Agile Lifecycle