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Insurance Data Engineer Jobs in South Fulton, GA

STRATEGIC MINDZ LLC

Data Reporting Analyst

Atlanta, GA · On-site

$55 - $65/hr

Vision insurance Data Reporting Analyst Job Summary We are seeking an experienced Data Reporting & Analytics Developer to join a State of Georgia modernization program. You will design, build, and ...

The Weather Company

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 ...

The Weather Company

Senior Data Engineer

Atlanta, GA · 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 ...

United Airlines

Associate Data Engineer

Atlanta, GA · On-site

$71K - $96K/yr

Life and disability insurance * Employee assistance programs * Other benefits as provided by local ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

HUB

Master Data Management Engineer

Atlanta, GA · On-site

$110K - $132K/yr

HUB is a global insurance and employee benefits broker, providing a boundaryless array of business ... HUB International is seeking a Master Data Management Engineer, on our Enterprise Data & Analytics ...

FAVARH

Senior Data Engineer

Atlanta, GA · On-site +1

$101K - $138K/yr

Implement enterprise solutions, in a cloud environment, using a vast range of data engineering and ... Health, dental, vision and life insurance plans * 401(k) Savings plan - with generous company ...

New

Voya Financial, Inc.

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

Implement enterprise solutions, in a cloud environment, using a vast range of data engineering and ... Health, dental, vision and life insurance plans * 401(k) Savings plan - with generous company ...

United Airlines

GCP/Python Senior Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... Data Engineering expertise to design build automate and support cloudnative data platforms on ... Life and disability insurance * Employee assistance programs * Other benefits as provided by local ...

FanDuel

Data Engineering Manager

Atlanta, GA · On-site

This role is ideal for an experienced data engineer or tech lead who is ready to take the next step ... This role may offer the following benefits: medical, vision, and dental insurance; life insurance ...

FanDuel

Data Engineering Manager

Atlanta, GA · On-site

This role is ideal for an experienced data engineer or tech lead who is ready to take the next step ... This role may offer the following benefits: medical, vision, and dental insurance; life insurance ...

FanDuel

Data Engineering Manager

Atlanta, GA

This role is ideal for an experienced data engineer or tech lead who is ready to take the next step ... This role may offer the following benefits: medical, vision, and dental insurance; life insurance ...

Truist

Senior Security Data Engineer

Atlanta, GA

$110K - $151K/yr

Performs and enhances data acquisition and analysis to uncover and remediate significant ... Truist offers medical, dental, vision, life insurance, disability, accidental death and ...

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Showing results 41-60

All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in South Fulton, GA

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:

Insurance Data Engineer jobs near you

Data Reporting Analyst

STRATEGIC MINDZ LLC

Atlanta, GA • On-site

$55 - $65/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 11 days ago

Job description

Benefits:
  • 401(k)
  • Dental insurance
  • Health insurance
  • Vision insurance

Data Reporting Analyst

Job Summary
We are seeking an experienced Data Reporting & Analytics Developer to join a State of Georgia modernization program. You will design, build, and maintain the reporting layer, data pipelines, and analytics products that support program operations, management decision-making, and mandated state and federal reporting.
This role sits at the intersection of data engineering and business intelligence. You will work directly with program staff and business analysts to turn operational data into dashboards, scheduled reports, and analytical datasets that stakeholders rely on.
Key Responsibilities
  • Design, develop, and maintain operational and analytical reports, dashboards, and data visualizations
  • Build and optimize ETL/ELT pipelines to move data from transactional systems into the data warehouse or reporting layer
  • Write, tune, and troubleshoot complex SQL — stored procedures, views, window functions, and performance-critical queries
  • Develop and maintain data models (star/snowflake schemas, dimensional models) supporting reporting and analytics
  • Produce recurring state and federal compliance reports, ensuring accuracy, completeness, and on-time delivery
  • Partner with business analysts and program staff to gather reporting requirements and translate them into technical specifications
  • Implement data quality checks, reconciliation logic, and validation rules across pipelines
  • Support ad-hoc data requests and analysis from program leadership
  • Document data definitions, lineage, business rules, and report specifications
  • Participate in code reviews, testing, and release activities
  • Troubleshoot data discrepancies across source systems and reporting outputs
Mandatory Qualifications
  • Professional experience in data reporting, business intelligence, or analytics development
  • Advanced SQL skills, including query optimization and performance tuning against large datasets
  • Hands-on experience with at least one enterprise BI/reporting tool: Power BI, Tableau, SSRS, Cognos, or MicroStrategy
  • Experience building and maintaining ETL/ELT processes using tools such as Informatica, SSIS, Talend, dbt, or equivalent
  • Working knowledge of relational databases — SQL Server, Oracle, PostgreSQL, or DB2
  • Experience with dimensional data modeling and data warehouse design principles
  • Demonstrated ability to gather reporting requirements directly from non-technical business stakeholders
  • Strong data validation, reconciliation, and quality-assurance practices
  • Experience with version control (Git) and collaborative development workflows
  • Excellent written and verbal communication skills
Desirable Qualifications
  • Experience on state or federal government projects
  • Experience on Healthcare Industry.
  • Experience producing federally mandated reports and understanding of associated compliance requirements
  • Cloud data platform experience — AWS (Redshift, Glue, Athena, S3), Azure (Synapse, Data Factory), or Snowflake
  • Python or R for data analysis, automation, or scripting
  • Experience with modern data stack tooling (dbt, Airflow, Fivetran)
  • Understanding of data governance, master data management, and data cataloging
  • Knowledge of PHI/PII handling and HIPAA-adjacent data privacy requirements
  • Experience with agile delivery methodologies
  • Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field