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Insurance Data Engineer Jobs in South Fulton, GA

Senior Data Engineer

Atlanta, GA ยท On-site +1

$101K - $138K/yr

Kforce has a client seeking a remote Senior Data Engineer to join their team. Summary: This team is ... We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and ...

Senior Data Engineer

Atlanta, GA ยท On-site

$101K - $138K/yr

Job brief: We're seeking a Senior Data Engineer to design, build, and operate large-scale, data ... Variety of medical insurance options, including a $0 cost premium employee coverage * Benefits ...

Senior Data Engineer

Atlanta, GA

$101K - $138K/yr

Job brief: We're seeking a Senior Data Engineer to design, build, and operate large-scale, data ... Variety of medical insurance options, including a $0 cost premium employee coverage * Benefits ...

Fabric Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

Insurance (Accident, Critical Illness , Hospital Indemnity, Legal) * 401(k) plan and contributions ... Required Skill and Experience โ€ข Experience in Data Engineering or Analytics Engineering roles ...

Python Data Engineer

Atlanta, GA

$110K - $132K/yr

... Data Engineer with foundational knowledge in Java or Scala and exposure to Apache Spark and Google ... Life and disability insurance * Employee assistance programs * Other benefits as provided by local ...

Data Analyst IV

Atlanta, GA ยท On-site

$50 - $60/hr

NACI Data Engineer & Analyst, Part-time with Full Time Potential AMDEX.ai The Art of Data Science ... Employer Paid Life and Disability Insurance, STD and LTD * Employee Assistance Plan and Employee ...

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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 Jun 9, 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 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.
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:

$120K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago


Job description

Must Have Technical/Functional Skill
We are seeking a Senior Data Engineer with strong expertise in Lakehouse architecture to design and build scalable data pipelines on AWS. The role focuses on developing high-quality, analytics-ready data models and optimizing data platforms for performance.
Key Skills
Strong hands-on experience with AWS Glue and Redshift
Expertise in Lakehouse architecture and Apache Iceberg
Advanced SQL and data modeling skills
Experience handling complex and legacy datasets (mainframe integration)
Strong performance tuning and optimization skills
Preferred Skills
โ€ข Exposure to API/GraphQL-based data access layers.
โ€ข Familiarity with data contracts and schema versioning strategies.
โ€ข Experience in Healthcare domain (nice to have).
โ€ข Knowledge of modern data architecture patterns (Lakehouse, CDC, Streaming).
Roles & Responsibilities
Build and maintain scalable data pipelines using AWS Glue.
Implement Iceberg tables and data transformations within a Lakehouse architecture.
Develop curated and analytics-ready data models in Amazon Redshift.
Normalize and integrate complex datasets, including mainframe data sources.
Optimize Redshift performance and data modeling for analytical workloads.
Salary Range: $120,000-$140,000 a year
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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