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Insurance Data Processing Jobs in Lawrenceville, GA

Guidehouse

Senior Data Engineer

Atlanta, GA · On-site

$80K - $133K/yr

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

Reply

Data Engineer

Atlanta, GA

$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 ...

Reply

Data Engineer

Atlanta, GA

$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 ...

Guidehouse

Public Health Data Engineer

Atlanta, GA

$110K - $132K/yr

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

Oscar Health

Associate, Process Optimization

Atlanta, GA · On-site

$87K - $114K/yr

Hi, we're Oscar. We're hiring an Associate, Process Optimization to join our Eligibility and ... insurance, data analysis, engineering and/or consulting * 2+ years of experience using data ...

Oscar Health

Associate, Process Optimization

Atlanta, GA · Remote

$87K - $114K/yr

Hi, we're Oscar. We're hiring an Associate, Process Optimization to join our Eligibility and ... insurance, data analysis, engineering and/or consulting * 2+ years of experience using data ...

Oscar Health

Associate, Process Improvement

Atlanta, GA · On-site

$87K - $114K/yr

We're hiring a Process Improvement Associate to join our Network Operations team. Oscar is the ... insurance, data analysis, engineering and/or consulting * 2+ years of experience using data ...

QGenda

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

Implement advanced data processing solutions and observability techniques to ensure data is ... Fully company-paid options for medical (both in-person and virtual), dental and vision insurance

Rivian

GBS Vendor Master Data Analyst

Atlanta, GA · On-site

$71K - $90K/yr

Process Improvements & Performance * Support the Master Data Manager with: * Policy & Process ... insurance, and long-term disability insurance to eligible employees. You may also have the ...

Guidehouse

Epidemiologist Data Scientist

Atlanta, GA · On-site

Utilize DataBricks and Snowflake for scalable data processing and analytics. * Collaborate with ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Rivian

GBS Vendor Master Data Analyst

Atlanta, GA · On-site

$71.07 - $88.84/hr

Process Improvements & Performance * Support the Master Data Manager with: * Policy & Process ... insurance, and long-term disability insurance to eligible employees. You may also have the ...

Oscar Health

Associate, Process Improvement

Atlanta, GA · Remote

$87K - $114K/yr

We're hiring a Process Improvement Associate to join our Network Operations team. Oscar is the ... insurance, data analysis, engineering and/or consulting * 2+ years of experience using data ...

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Showing results 21-40

All JobsInsurance Data Processing JobsInsurance Data Processing Jobs in Lawrenceville, GA

Insurance Data Processing information

See Lawrenceville, GA salary details

$11

$18

$31

How much do insurance data processing jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for insurance data processing in Lawrenceville, GA is $18.57, according to ZipRecruiter salary data. Most workers in this role earn between $14.76 and $20.48 per hour, depending on experience, location, and employer.

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 Lawrenceville, GA?

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

What job categories do people searching Insurance Data Processing jobs in Lawrenceville, GA look for?

The top searched job categories for Insurance Data Processing jobs in Lawrenceville, GA are:

What cities near Lawrenceville, GA are hiring for Insurance Data Processing jobs?

Cities near Lawrenceville, GA with the most Insurance Data Processing job openings:

Insurance Data Processing jobs near you
Infographic showing various Insurance Data Processing job openings in Lawrenceville, GA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 20% Part Time, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $38,626 per year, or $18.6 per hour.

Senior Data Engineer

Guidehouse

Atlanta, GA • On-site

$80K - $133K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 25 days ago

Guidehouse rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

35th of 72 rated business consultants

Job description

Job Family:

Data Science & Analysis


Travel Required:

Up to 10%


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms, pipelines, and cloud-based analytics solutions. The ideal candidate will have hands-on experience building scalable data ecosystems, strong software engineering fundamentals, and the ability to lead technical efforts while collaborating with multidisciplinary teams to deliver mission-critical data solutions.

  • Design, develop, and maintain scalable data pipelines and ETL/ELT processes supporting analytics, reporting, and operational workloads.

  • Build and optimize data architectures, data models, and storage solutions across cloud and hybrid environments.

  • Develop and maintain data engineering solutions using Python, SQL, Spark, and related technologies.

  • Implement and support cloud-native data platforms leveraging AWS, Azure, Databricks, and other modern technologies.

  • Design and implement CI/CD pipelines and DevOps best practices for data engineering workflows.

  • Collaborate with architects, developers, analysts, and business stakeholders to translate requirements into technical solutions.

  • Lead data integration, migration, and modernization initiatives, including legacy system transformation efforts.

  • Ensure data quality, integrity, security, and governance standards are incorporated into solution designs.

  • Monitor, troubleshoot, and optimize data pipelines and production environments to ensure reliability and performance.

  • Mentor junior data engineers and support technical knowledge sharing across project teams.

  • Contribute to technical architecture discussions, technology evaluations, and engineering best practices.

  • Develop and maintain technical documentation including data flows, system designs, deployment procedures, and operational guides.

  • Role contingent upon contract award.


What You Will Need:

  • U.S. Citizenship or Green Card is required and must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST

  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Data Science, or a related technical field.

  • THREE (3) or more years in data engineering, software engineering, analytics engineering, or a related discipline.

  • Experience in Python, SQL, and data processing frameworks such as Spark or PySpark.

  • Experience designing, developing, and supporting production-grade data pipelines and ETL/ELT processes.

  • Experience working with relational and non-relational databases, including data modeling and query optimization.

  • Experience with cloud platforms such as AWS and/or Azure.

  • Experience with Databricks, Snowflake, or similar large-scale data processing environments.

  • Experience implementing CI/CD pipelines and version control practices using tools such as Git, GitHub, GitLab, Jenkins, or Azure DevOps.

  • Experience implementing data quality, monitoring, and operational support processes.

  • Experience working within Agile software development environments.


What Would Be Nice To Have:

  • Experience supporting federal, healthcare, public health, or other highly regulated environments.

  • Familiarity with containerization technologies such as Docker and orchestration platforms such as Kubernetes.

  • Experience with AWS services such as S3, Redshift, Lambda, ECS, Glue, and SQS.

  • Strong analytical, troubleshooting, and problem-solving skills.

  • Ability to independently manage technical tasks and collaborate effectively across teams.

  • Excellent verbal and written communication skills.

  • Experience with Azure services such as Azure Data Factory, Synapse Analytics, Azure Functions, Cosmos DB, and Event Hub.

  • Familiarity with modern data lakehouse architectures and data governance frameworks.

  • Experience implementing Infrastructure-as-Code using Terraform, CloudFormation, or Bicep.

  • Experience with monitoring and observability tools such as CloudWatch, Splunk, Kibana, Datadog, or Elasticsearch.

  • Cloud, Databricks, Snowflake, or related technical certifications.

  • Experience supporting large-scale data modernization or migration programs.

  • Experience with machine learning data pipelines and AI-enabled solutions.

  • Previous consulting or client-facing experience.

The annual salary range for this position is $80,000.00-$133,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Parental Leave

  • 401(k) Retirement Plan

  • Group Term Life and Travel Assistance

  • Voluntary Life and AD&D Insurance

  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

  • Transit and Parking Commuter Benefits

  • Short-Term & Long-Term Disability

  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Care.com annual membership

  • Employee Assistance Program

  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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