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Insurance Data Engineer Jobs in South Fulton, GA

Public Health Data Engineer

Atlanta, GA · On-site

$70K - $116K/yr

Guidehouse seeks a Data Engineer to support the development, maintenance, and enhancement of data ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Public Health Data Engineer

Atlanta, GA

$110K - $132K/yr

Guidehouse seeks a Data Engineer to support the development, maintenance, and enhancement of data ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Lead Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

As a Lead Data Engineer on our Industrial AI & Data Platforms team, you will architect and own the ... This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term ...

Lead Data Engineer

Atlanta, GA

$110K - $132K/yr

As a Lead Data Engineer on our Industrial AI & Data Platforms team, you will architect and own the ... This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term ...

Senior Data Engineer

Atlanta, GA · On-site

$160K - $170K/yr

Serve as a core and professional member of our Data Engineering practice to build and ... Health insurance, vision, dental, FSA (medical, limited purpose, dependent care). Paid group term ...

Data Engineer/Scientist Category: Analytics and Emerging Digital Technologies Main location: United ... Comprehensive insurance options . Matching contributions through the 401(k) plan and the share ...

Senior Data Engineer

Atlanta, GA · On-site

$80K - $133K/yr

Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Senior Data Engineer

Atlanta, GA · On-site

$80K - $133K/yr

Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

About Your Role As a Senior Data Engineer, you will design, build, and optimize the data platform ... Fully company-paid options for medical (both in-person and virtual), dental and vision insurance

Senior Data Engineer Location: Preference will be given to candidates located in Atlanta, GA or the ... insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal ...

Senior Data Engineer Location: Preference will be given to candidates located in Atlanta, GA or the ... insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal ...

Senior Data Engineer Location: Preference will be given to candidates located in Atlanta, GA or the ... insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal ...

Lead Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Your Job As a Lead Data Platform Engineer on the Georgia Pacific Data Platform team, you will help ... accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational ...

New

Familiarity with the cyber insurance industry is a plus (desirable, not essential). * A growth ... data engineering experience. What Is in It for You? * Health Insurance :Employees and their ...

Data Engineer (AWS, Azure, GCP)

Atlanta, GA · On-site

$110K - $132K/yr

CapTech Data Engineering consultants enable clients to build and maintain advanced data systems ... insurance, paid family leave and more, we've launched extended benefits to help meet our employees ...

Showing results 21-40

Insurance Data Engineer information

See South Fulton, GA salary details

$42.2K

$123K

$168.3K

How much do insurance data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for insurance data engineer in South Fulton, GA is $123,002.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,600.00 and $130,400.00 per year, depending on experience, location, and employer.

What is an insurance data engineer?

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.

What are popular job titles related to Insurance Data Engineer jobs in South Fulton, GA?

For Insurance Data Engineer jobs in South Fulton, GA, the most frequently searched job titles are:

What job categories do people searching Insurance Data Engineer jobs in South Fulton, GA look for?

The top searched job categories for Insurance Data Engineer jobs in South Fulton, GA are:

What cities near South Fulton, GA are hiring for Insurance Data Engineer jobs?

Cities near South Fulton, GA with the most Insurance Data Engineer job openings:

Public Health Data Engineer

Guidehouse

Atlanta, GA • On-site

$70K - $116K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago


Guidehouse rating

7.7

Company rating: 7.7 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

42nd 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 Data Engineer to support the development, maintenance, and enhancement of data pipelines, cloud-based data platforms, and analytics solutions. The ideal candidate is an early-career professional with foundational experience in data engineering, software development, or cloud technologies who is eager to learn and grow in a collaborative environment.

  • Assist in developing, testing, and maintaining data pipelines and ETL/ELT processes that ingest, transform, and load data from various sources.

  • Support the implementation and enhancement of data models, databases, and cloud-based data solutions.

  • Participate in data integration, migration, and modernization initiatives under the guidance of senior engineers.

  • Develop and maintain scripts, queries, and applications using technologies such as Python, SQL, and PySpark.

  • Support cloud-based data environments and services in AWS and Azure.

  • Assist with the implementation of CI/CD processes and software development best practices using Git and related tools.

  • Monitor data pipelines and systems, identify issues, and support troubleshooting and resolution activities.

  • Perform data validation and quality assurance activities to help ensure data accuracy, completeness, and reliability.

  • Collaborate with data engineers, developers, analysts, and other stakeholders to deliver high-quality solutions.

  • Document technical processes, data flows, and system configurations.

  • Continuously develop technical skills and stay current with emerging data engineering technologies and best practices.


What You Will Need:

  • Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST.

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

  • Experience in data engineering, software engineering, data analytics, computer science, or a STEM related technical discipline.

  • Foundational knowledge of programming languages such as Python, Java, or SQL.

  • Basic understanding of relational databases and data querying concepts.

  • Familiarity with cloud platforms such as AWS or Azure through coursework, certifications, internships, or professional experience.

  • Exposure to data integration, ETL, data warehousing, or analytics concepts.

What Would Be Nice To Have:

  • Internship, academic, research, or project experience involving data engineering, cloud computing, or software development.

  • Exposure to Databricks, Spark, or large-scale data processing technologies.

  • Familiarity with version control systems such as Git.

  • Basic understanding of software development lifecycle and Agile methodologies.

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

  • Ability to learn new technologies and work collaboratively in a team environment.

  • Strong verbal and written communication skills.

  • Familiarity with AWS services such as S3, Lambda, or Redshift, or Azure services such as Azure Data Factory, Azure Functions, or Cosmos DB.

  • Experience with data visualization or reporting tools such as Power BI, Tableau, or Kibana.

  • Exposure to CI/CD tools and DevOps practices.

  • AWS, Azure, Databricks, or related cloud/data certifications.

  • Experience supporting healthcare, public sector, or federal clients.

  • Interest in data architecture, machine learning, artificial intelligence, or advanced analytics.

  • Previous consulting, client-facing, internship, or cooperative education experience.

The annual salary range for this position is $70,000.00-$116,000.00. 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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