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Insurance Data Engineer Jobs in Virginia (NOW HIRING)

Data Engineer Expert

Herndon, VA · On-site

$117.70K - $141.40K/yr

Data Engineer Expert Location: Herndon, VA *Clearance: *Active TS/SCI w/ Polygraph needed to apply ... Life and Disability Insurance * Tuition Reimbursement and Training * Perks at Work Discount Program

Mission (Data) Engineer

Arlington, VA · On-site

$131.70K - $158.20K/yr

Mission (Data) Engineer Travel: Approximately 10% international travel required. Number of Openings ... Comprehensive health, dental, and vision insurance plans * Flexible remote work environment

Data Engineer - Remote

Virginia Beach, VA · Remote

$108.70K - $130.50K/yr

Sentara is hiring a Data Engineer! This is a fully remote position. Work Location: Remote ... Life Insurance 401k/403B with Employer Match Tuition Assistance - 5,250/year and discounted ...

Mission (Data) Engineer

Arlington, VA · Remote

$131.70K - $158.20K/yr

Mission (Data)Engineer Travel: Approximately 10% international travel required. Number of Openings ... Comprehensive health, dental, and vision insurance plans * Flexible remote work environment

Big Data Engineer

Chantilly, VA

$57.50 - $76.25/hr

Big Data Engineer LOCATIONChantilly, VA 20151 CLEARANCETS/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

$58 - $76.75/hr

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

Big Data Engineer

Tysons, VA

$56 - $74/hr

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

Palantir Data Engineer

Arlington, VA · On-site

$131.70K - $158.20K/yr

Data Engineering & Architecture Consulting Travel Required: None Clearance Required: Active Secret ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Palantir Data Engineer

Arlington, VA · Hybrid

$131.70K - $158.20K/yr

Data Engineering & Architecture Consulting Travel Required: None Clearance Required: Active Secret ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Snowflake Data Engineer

Lynchburg, VA · On-site

$111.40K - $133.70K/yr

Snowflake Data Engineer Location: Lynchburg, VA - hybrid onsite Duration: 6 months Snowflake, DBT ... Good Life Insurance Domain knowledge * Good analysis skills * Good knowledge of Data warehousing ...

The Data Engineer - Jr supports the design, development, and sustainment of data pipelines, data ... retirement plans, insurance programs, and education and training assistance. EEO Race/Sex ...

Data Engineer - Junior

Quantico, VA · On-site

$110K - $125K/yr

The Data Engineer - Jr supports the design, development, and sustainment of data pipelines, data ... plans, insurance programs, and education and training assistance. EEO Statement EEO Race/Sex ...

Sr. Data Engineer

Mclean, VA

$115.70K - $139K/yr

As a Senior Data Engineer, you will contribute to a variety of areas including: * The development ... life insurance programs, as well as a competitive 401k plan with company match. In addition ...

Big Data Engineer

Chester, VA · On-site

$104.60K - $156.80K/yr

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

Senior Data Engineer

Mclean, VA

$108.70K - $147.70K/yr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered ... other insurance plans that offer an optional layer of financial protection. We offer an ESPP ...

New

Data Engineer (5313)

Arlington, VA · On-site

$100K - $150K/yr

cBEYONData + SMX is seeking a Data Engineer to support a federal customer's data modernization ... Some key components of our robust benefits include health insurance, paid leave, and retirement.

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Showing results 1-20

Insurance Data Engineer information

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 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 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 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:

Data Engineer Expert

Cornerstone Defense

Herndon, VA • On-site

$117.70K - $141.40K/yr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Job description

  • Location: Herndon, Virginia
  • Type: Contract
  • Job #3968

Title: Data Engineer Expert
Location: Herndon, 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 *
Seeking a highly motivated, self-directed professional for a Data Engineering role. In this role, you will design and maintain data pipelines, collaborate closely with development teams, and help deliver reliable data solutions that enable teams to transform data into actionable insights.
Required Qualifications:

Active TS/SCI with Polygraph clearance.

A Master's degree in Computer Science, Information Systems, Engineering, or additional years of specialized experience in a scientific or technical discipline.

Build and maintain reliable data pipelines that support ingestion, transformation, and delivery of large datasets

Partner with software developers and engineering teams to integrate data solutions into existing systems and applications

Develop and optimize SQL queries to support data retrieval, transformation, and analysis

Work with relational databases such as PostgreSQL, Oracle, and MySQL to store, manage, and access data

Develop scripts and automation using Python, Linux, and shell scripting to support data processing tasks

Operate within AWS environments to support cloud-based data infrastructure and workflows

Prepare and structure data outputs in usable formats for analysis and downstream systems, including JSON

8+ years of experience developing or maintaining data pipelines in collaboration with development teams

4+ years of hands-on experience with Python

Experience working with AWS cloud services

Familiarity with SPARC environments and relational databases including PostgreSQL, Oracle, or MySQL

Demonstrated experience writing and maintaining SQL queries

4+ years of experience working in Linux environments, including shell scripting
Experience preparing and managing structured and unstructured datasets, including JSON formats
Desired Qualifications:

Excellent communication and collaboration skills.

Experience with workflow orchestration tools such as Apache NiFi or Apache Airflow

4+ years of development experience with Java or Scala

Experience managing or supporting EMR or SPARC clusters

Background in performance tuning and optimization of data pipelines or large data systems

4+ years of experience working with Hive or Iceberg

Familiarity with implementing cloud-based security practices

Experience using ACM processes for code deployment