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Insurance Data Engineer Jobs in Virginia (NOW HIRING)

Data Engineer

Herndon, VA

$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 · 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

Arlington, VA · On-site

$130K - $157K/yr

Health insurance * Paid time off About this Role: Imagineeer is seeking a Data Engineer to support the design, development, and maintenance of secure, compliant data pipelines and enterprise data ...

Chief Data Engineer

Chantilly, VA · 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

Arlington, VA · On-site

$130K - $157K/yr

Health insurance * Paid time off About this Role: Imagineeer is seeking a Data Engineer to support the design, development, and maintenance of secure, compliant data pipelines and enterprise data ...

Secret AERMOR is seeking a highly motivated and experienced Data Engineer to support data analysis ... Eligible employees may receive medical, dental, and vision insurance, a 401(k) plan, paid time off ...

Data Engineer

Norfolk, VA · On-site

$90K - $125K/yr

Secret AERMOR is seeking a highly motivated and experienced Data Engineer to support data analysis ... Eligible employees may receive medical, dental, and vision insurance, a 401(k) plan, paid time off ...

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 ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/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 ...

Data Engineer - Mid

Quantico, VA · On-site

$135K - $155K/yr

The Data Engineer - Mid designs, develops, and maintains scalable data pipelines, data models, and ... plans, insurance programs, and education and training assistance. EEO Statement EEO Race/Sex ...

Data Engineer

Falls Church, VA · On-site

$128K - $173K/yr

Data Engineer * Builds and maintains Advana ingestion, transformation, and storage pipelines ... insurance are provided or available. We regularly review our Total Rewards package to ensure our ...

Data Engineer - Mid

Quantico, VA · On-site

$135K - $155K/yr

The Data Engineer - Mid designs, develops, and maintains scalable data pipelines, data models, and ... retirement plans, insurance programs, and education and training assistance. EEO Race/Sex ...

Data Engineer

Chantilly, VA · 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 ...

Data Engineer

Fairfax, VA · 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

Tysons, VA · On-site

$56 - $74/hr

Big Data Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this position ... No cost to you. * Life Insurance - 100% employee coverage. No cost to you. * Additional ...

Big Data Engineer

Reston, VA · 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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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

$141K - $236K/yr

Other

Medical, Life, Retirement, PTO

Posted 4 days ago


ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

30th of 209 rated software companies


Job description

Description & Requirements
Unlock the secrets of intelligence with MANTECH! Join a dynamic team at the forefront of national security, providing advanced solutions to government intelligence agencies. Since 1968, we've been solving the toughest challenges with groundbreaking tech. Explore thrilling projects in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Elevate your career and make a difference. Your adventure begins now-unleash your potential with MANTECH!

MANTECH seeks a motivated, career and customer-oriented Data Engineer to join our team in Herndon VA. The Data Engineer will leverage their expertise with Python to support the customer's data pipelines and related applications, from collection to ingestion, and ensure the integrity and security of data systems. You will play a critical role in delivering relevant and actionable cyber data to the right customers in a format that is normalized and actionable by cyber analysts and data scientists.

Responsibilities include but are not limited to:

  • Design, build, optimize, and maintain resilient data pipelines using Python, with a focus on data collection, ingestion, ETL, and analytics
  • Develop and support complex data solutions, including data transformation, validation, and quality controls
  • Integrate data from a variety of internal and external sources, including REST APIs, flat files, and structured/semi-structured formats
  • Ensure data is available, accessible, reliable, and securely handled to meet stakeholder and operational needs
  • Test, troubleshoot, and validate data movement, parsing, and transformation code across development and production environments
  • Provide platform and production support, including debugging, root cause analysis, issue resolution, and ongoing maintenance
  • Collaborate with cross-functional teams to deliver data products and help end users understand and effectively use analytics environments

Minimum Qualifications:

  • High School Diploma and 5+ years' experience with software development in Python
  • Experience with data engineering
  • Experience building and maintaining data pipelines, ETL processes, and ingestion workflows
  • Experience with Git/GitHub or similar version control systems
  • Experience with common data formats such as JSON, XML, CSV, and other structured or semi-structured data
  • Experience working with Bash, Linux, and command-line tools in a development or production environment

Preferred Qualifications:

  • Bachelor's degree in computer science or similar technical field
  • Experience with Elasticsearch and Kibana
  • Experience with AWS services such as Lambda, EC2, and S3
  • Experience with data analytics and visualization tools
  • Knowledge of cyber operations
  • Certified Information Systems Security Professional (CISSP certification)

Clearance Requirements: An active/current  TS/SCI with Polygraph is required

Physical Requirements: Must be able to remain in a stationary position 50% of the time


The projected compensation range for this position is $141,500.00-$236,000.00. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories.  In addition, MANTECH invests in its employees beyond just compensation.  MANTECH's benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, short-term and long-term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.

MANTECH considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with MANTECH, please email us at careers@mantech.com and provide your name and contact information.

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