1

Insurance Data Engineer Jobs in Virginia (NOW HIRING)

Data Engineer

Reston, VA ยท On-site +1

$119K - $143K/yr

Responsibilities As a Data Engineer , you will transform and deliver high-priority datasets to ... For insurance protection, we offer basic life insurance, accidental death and dismemberment (AD&D ...

Data Engineer

Reston, VA ยท On-site

$119K - $143K/yr

Responsibilities As a Data Engineer , you will transform and deliver high-priority datasets to ... For insurance protection, we offer basic life insurance, accidental death and dismemberment (AD&D ...

Data Engineer

Reston, VA ยท On-site +1

$119K - $143K/yr

As a Data Engineer , you will transform and deliver high-priority datasets to enable exploitation ... For insurance protection, we offer basic life insurance, accidental death and dismemberment (AD&D ...

Data Engineer

Herndon, VA ยท Hybrid

$175K - $195K/yr

Data Engineer City, VA TS/SCI with Poly At Bcore, our strength comes from how we deliver impact to ... Benefits include Health/Dental/Vision, 401(k), Paid Time Off, STD/LTD/Life Insurance/Voluntary Life ...

Data Engineer

Herndon, VA ยท On-site

$175K - $195K/yr

Overview Data Engineer City, VA TS/SCI with Poly At Bcore, our strength comes from how we deliver ... Benefits include Health/Dental/Vision, 401(k), Paid Time Off, STD/LTD/Life Insurance/Voluntary Life ...

Data Engineer

Herndon, VA ยท On-site +1

$117K - $141K/yr

Data Engineer Location: Remote, USA Clearance: Top-Secret Type: Full-time, W2About VivSoft We are a ... Life Insurance * Paid Time Off (Flexible/Combined PTO, Bereavement Leave, 11 Company Paid Holidays ...

Data Engineer

Herndon, VA ยท Hybrid

$175K - $195K/yr

Overview Data Engineer City, VA TS/SCI with Poly At Bcore, our strength comes from how we deliver ... Benefits include Health/Dental/Vision, 401(k), Paid Time Off, STD/LTD/Life Insurance/Voluntary Life ...

Data Engineer

Mclean, VA

$102K - $170K/yr

Guidehouse seeks a Data Engineer to support in building, optimizing, and maintaining data pipelines ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Data Engineer

Mclean, VA

$102K - $170K/yr

Guidehouse seeks a Data Engineer to support in building, optimizing, and maintaining data pipelines ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Guidehouse seeks a Data Engineer to support in building, optimizing, and maintaining data pipelines ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Guidehouse seeks a Data Engineer to support in building, optimizing, and maintaining data pipelines ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Data Engineer

Arlington, VA ยท On-site

$113K - $188K/yr

Guidehouse seeks a Data Engineer to support in building, optimizing, and maintaining data pipelines ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

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 ยท On-site

$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 ...

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 ...

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 ...

Databricks Data Engineer

Manassas, VA ยท On-site

$114K - $137K/yr

Insurance is too complex. Help us make it better. This position requires on-site work Monday-Thursday at either our Manassas, VA or Chesterfield, MO location. The Databricks Data Engineer will help ...

Databricks Data Engineer

Manassas, VA

$114K - $137K/yr

Insurance is too complex. Help us make it better. Responsibilities This position requires on-site ... The Databricks Data Engineer will help design, build, deploy, and maintain scalable and production ...

Databricks Data Engineer

Manassas, VA ยท On-site

$114K - $137K/yr

Insurance is too complex. Help us make it better. Responsibilities This position requires on-site ... The Databricks Data Engineer will help design, build, deploy, and maintain scalable and production ...

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 ...

next page

Showing results 1-20

Insurance Data Engineer information

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.
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:
Infographic showing various Insurance Data Engineer job openings in Virginia as of July 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 74% In-person, 18% Hybrid, and 8% Remote job distribution.

Data Engineer

Level Up Llc

Reston, VA โ€ข On-site, Remote

$119K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 10 days ago


Job description

Overview

About Level Upย 

Level Up, LLC, a wholly-owned subsidiary of AVIAN, represents a fusion of innovation, reliability, and top-tier cyber security and IT solutions. As a Virginia-based small business with over 150 years of collective experience, we pride ourselves on providing industry-leading expertise, big data analytics, and all-source research and analysis. Our technical capabilities directly bolster our customers' objectives, from mission centers to forward-deployed operations.ย 

In 2021, we joined forces with AVIAN, an employee-owned business and one of America's fastest-growing private companies. With a shared commitment to resourcefulness, responsiveness, and reachability, we continue to uphold our trademark dependability and innovation, delivering exceptional services to our 80 government and commercial clients across 13 states.ย 

Beyond our technical and consulting prowess, we at Level Up believe in creating a positive impact within our communities. Through our charitable giving and volunteer programs, we support causes close to our hearts and inspire meaningful change. This commitment to service and community enhancement is what we call "The Level Up Way".ย 

Together, Level Up and AVIAN offer comprehensive solutions, blending technology and community engagement to create an exceptional partnership for our employees, customers, and community.ย 

Responsibilities

As a Data Engineer, you will transform and deliver high-priority datasets to enable exploitation and analysis for the federal government's intelligence mission.

Using computer programming and other capabilities, Data Engineers develop processes to transform raw structured or unstructured data into useful, actionable information for critical mission systems. They design and build scalable data pipelines using commercial cloud, open source, and custom software solutions to process large datasets. Data Engineers create automated data validation methods to load data into systems accurately and consistently. Through partnerships with collectors, data scientists, and software engineers, Data Engineers design how data will be integrated and stored for optimal effectiveness.

Data Engineers are curious and use their skills to identify problems and build solutions, applying updated expertise in areas such as ETL, workflow and container orchestration, database and search technologies, distributed computing, serverless design, and cloud solutions.

Qualifications

Required Experience, Skills, & Technologies

  • Bachelor's degree or higher in one of the following fields or related studies:
    • Computer Science
    • Computer / Electrical Engineering or related field
    • Data Science or related quantitative science field
    • Information Science/Technology
    • Forensics (Digital Forensics, Forensic Science, and Technology)
    • Mathematics/Statistics
  • Proficiency with computer programming languages like Python, Java, Scala, or equivalent Object-Oriented Programming Language and knowledge of SQL
  • Knowledge of data ingestion, transformation, modeling, and storage:
  • Strong critical thinking and problem-solving skills
  • Ability to work independently and to collaborate within a diverse team environment
  • Curiosity, creativity, and initiative

Desired Experience, Skills & Technologies

  • Prior experience related to data engineering, data science, data architecture, database and search technologies
  • Experience analyzing or processing bulk datasets
  • Experience with signal/image processing, geospatial modeling or voice/data communications
  • Prior application of serverless design patterns, such as serverless applications or websites
  • Understanding of scaling and performance of distributed/cloud systems
  • Understanding of data science concepts, AI/ML, automation, and scripting

Clearance Required

  • Due to the sensitivity of customer-related requirements, U.S. Citizenship is required.

  • Must possess a Top Secret/SCI security clearance with a Full Scope polygraph.
  • This position has an on-site requirement and is not eligible for fully remote candidates.ย 

At Level Up, LLC, we offer a comprehensive benefits package designed to support your health, financial security, and overall well-being. Our health and wellness benefits include medical, dental, and vision coverage, along with telemedicine services and a TRICARE supplement for veterans. Financially, we provide flexible spending accounts (FSA), a 401(k) plan with company contributions, and an employee stock ownership plan (ESOP). Additional perks like wellness reimbursements and referral bonuses are also available.

For insurance protection, we offer basic life insurance, accidental death and dismemberment (AD&D) coverage, disability benefits, and AFLAC supplemental insurance. In terms of life, work, and family, we provide flexible time off, paid sick leave, maternity and bonding leave, and military training leave. Tuition reimbursement and professional development opportunities are available to help you grow. We also offer pet insurance, identity protection, and life assistance programs. At Level Up, LLC, we prioritize a balanced, supportive environment that allows you to thrive both personally and professionally.

Level Up, LLC is a service-based organization. As an equal opportunity employer, our policy of business is to seek the most qualified candidate for each talent opportunity without regard to race, creed, color, sex, age, religious belief, marital status, national origin, ancestry, sexual preference, physical or mental handicap, lawful political affiliation or veteran's status.

Employment Type: FULL_TIME