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Insurance Data Processing Jobs in Georgia (NOW HIRING)

Data Scientist

Augusta, GA · On-site

$90 - $130/hr

Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and ... Life insurance and short- and long-term disability insurance * Employee Referral Program

Data Scientist

Augusta, GA · On-site

$110 - $150/hr

Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and ... Life insurance and short- and long-term disability insurance * Employee Referral Program

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

Develop and tune highly complex SQL queries for data processing and analysis * Integrate and ... We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and ...

Data Engineer

Alpharetta, GA · On-site

$50 - $55/hr

Experience with large scale data processing including cluster sizing, autoscaling, and cost ... Medical, Dental, and Vision Insurance * 401(k) Retirement Plan * Health Savings Account (HSA)

Data Engineer

Atlanta, GA · On-site

$53K - $88K/yr

Document technical processes, data flows, and system configurations. * Continuously develop ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Document technical processes, data flows, and system configurations. * Continuously develop ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Familiarity with Army, DoW or IC GEOINT or Geospatial processes, policy and programs. Experience ... insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and ...

Understanding cloud-based data engineering and distributed processing concepts. * Experience in ... Medical, Dental, and Vision Insurance * 401(k) Retirement Plan * Health Savings Account (HSA)

Design, develop, and maintain scalable data pipelines and ETL/ELT processes supporting analytics ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... processing technologies * Expertise with Microsoft Azure infrastructure and data resources ... and services, banking, insurance and public administration sectors in the definition and ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... data processing technologies Expertise with Microsoft Azure infrastructure and data resources ... and services, banking, insurance and public administration sectors in the definition and ...

Data Solutions Engineer

Atlanta, GA

$110K - $132K/yr

RESPONSIBILITIES: • Develop and implement data processing workflows and pipelines to support ... Life Insurance * Voluntary Accident Insurance - Self and Family * Short and Long-Term Disability

Data Scientist Level 2

Augusta, GA · On-site

$43 - $95/hr

Data Processing: (Data management and curation, data description and visualization, workflow, and ... insurance * disability * paid time off * maternity/paternity leave * 401(k) company match ...

Data Processing: (Data management and curation, data description and visualization, workflow, and ... These monetary benefits include medical insurance, life insurance, disability, paid time off ...

Showing results 21-40

Insurance Data Processing information

What is insurance data processing?

Insurance Data Processing refers to the collection, entry, management, and analysis of data related to insurance policies, claims, customers, and transactions. Professionals in this field use specialized software and systems to ensure that insurance information is accurate, up-to-date, and secure. Their work supports the smooth operation of insurance companies by helping to process claims, issue policies, and generate reports for decision-making. Accuracy and attention to detail are crucial in this role due to the sensitive nature of insurance data.

What are the key skills and qualifications needed to thrive as an insurance data processing specialist?

To thrive as an Insurance Data Processing Specialist, you need strong attention to detail, proficiency in data entry, and a solid understanding of insurance terminology, typically supported by a high school diploma or relevant associate degree. Familiarity with insurance management software, claims processing systems, and database tools such as Microsoft Excel is commonly required. Excellent organizational skills, problem-solving abilities, and effective communication help you excel in managing large volumes of sensitive information. These skills ensure accuracy, minimize errors, and support efficient operations within insurance organizations.

What are some common challenges faced in an insurance data processing role and how can they be addressed?

One of the main challenges in Insurance Data Processing is managing large volumes of sensitive data accurately and efficiently, especially when dealing with tight deadlines and evolving regulatory requirements. Errors in data entry or processing can impact claims or policy management, making attention to detail and strong organizational skills essential. To address these challenges, many teams rely on robust data management software, regular training, and collaborative workflows to ensure accuracy and compliance. Proactively seeking feedback and staying updated on industry best practices can also help professionals excel in this role.

What is the difference between Insurance Data Processing vs Insurance Claims Processing?

AspectInsurance Data ProcessingInsurance Claims Processing
Required CredentialsTypically high school diploma or equivalent; some roles may require certifications in data managementHigh school diploma or equivalent; often requires knowledge of claims procedures and insurance policies
Work EnvironmentOffice setting, working with databases and data entry systemsOffice environment, interacting with claim documents and insurance systems
Employer & Industry UsageInsurance companies, third-party administrators, data service providersInsurance companies, claims adjusters, third-party claims processors

Insurance Data Processing involves managing and organizing insurance-related data, focusing on data accuracy and database management. Insurance Claims Processing centers on evaluating and processing insurance claims submitted by policyholders, ensuring proper documentation and compliance. While both roles support insurance operations, Data Processing emphasizes data management, whereas Claims Processing focuses on claim evaluation and settlement.

What are popular job titles related to Insurance Data Processing jobs in Georgia?

For Insurance Data Processing jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Insurance Data Processing jobs in Georgia look for?

The top searched job categories for Insurance Data Processing jobs in Georgia are:

What cities in Georgia are hiring for Insurance Data Processing jobs?

Cities in Georgia with the most Insurance Data Processing job openings:

Infographic showing various Insurance Data Processing job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 21% Part Time, 1% Temporary, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

$90 - $130/hr

Other

Medical, Dental, Vision, Life, PTO

Posted 17 days ago


Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Data Scientist

Augusta, GA, Augusta, GA, US

3 days ago Requisition ID: 2842

Data Scientist Level 2- TS/SCI Fullscope Poly

Augusta, GA

Join an outstanding team that offers exciting job opportunities with the goal of providing the absolute best support to our customers. Here at DigiFlight we embrace integrity, innovative solutions, put our customers first and offer a highly competitive benefits package!

Description: Employ some combination (2 or more) of the following skill areas:

I. Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility)

3. Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations)

Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application-specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in NSA/CSS data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others in withdrawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting NSA/CSS collection, processing, storage, and analytic capabilities and limitations.

Education: Bachelor's Degree with 3 years of relevant experience. Associate's degree with 5 years of relevant experience. Bachelor'sDegree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence). College-level requirements or upper-level math courses designated as elementary or basic do not count.

Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.

Relevant Experience: Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred.

Our People

DigiFlight attracts the most highly skilled workforce to protect some of our nation’s most sensitive systems. Before joining the company, many DigiFlight professionals served our country in a civilian and/or military capacity. Our diverse team provides innovative solutions as they support critical clients in tackling tough challenges. Most importantly, our team is passionate about their work and making a difference.

Our corporate culture promotes a healthy work/life balance.

DigiFlight’s competitive benefits package allows employees to manage their personal and professional portfolios through a variety of features and programs. Our benefits include:

  • Health, Dental, Vision, and Flexible Spending Account
  • Paid Time Off (PTO)
  • 11 paid holidays
  • Tuition Education Assistance
  • Professional Development
  • Life insurance and short- and long-term disability insurance
  • Employee Referral Program
  • Marketing Incentive Plans

DFI offers a highly competitive, family-oriented benefits package.

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