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Insurance Data Engineer Jobs in Atlanta, GA (NOW HIRING)

Sr Data Engineer

Duluth, GA · Hybrid

$130K - $135K/yr

About this Position We are seeking an experienced Senior Data Engineer to design, develop, and ... Day one health, dental, and vision insurance * 401(k) Plan with competitive employer match

New

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Leadership: Lead a team of engineers, fostering a culture of innovation, collaboration and ... Familiarity with actuarial principles, insurance data structures, regulatory requirements and ...

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

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 ...

Partner with engineering teams to support their detailed solutions and implementation through ... Experience with Guidewire Insurance Suite data * Azure Solutions Architect certification (nice-to ...

Showing results 41-60

Insurance Data Engineer information

See Atlanta, GA salary details

$42.8K

$124.7K

$170.7K

How much do insurance data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for insurance data engineer in Atlanta, GA is $124,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $132,200.00 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 Atlanta, GA?

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

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

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

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

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

Infographic showing various Insurance Data Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 19% Part Time, and 7% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $124,743 per year, or $60 per hour.

Sr Data Engineer

Primerica

Duluth, GA • Hybrid

$130K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Primerica rating

9.3

Company rating: 9.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz


Job description

Join Our Team

In 2025, USA Today recognized Primerica as a Top Workplace USA for the fifth year in a row, and Newsweek named Primerica one of America's Greatest Workplaces for Diversity for the second consecutive year. In 2024, the Atlanta Journal-Constitution named Primerica as a Top Workplace for the eleventh consecutive year, and Forbes recognized Primerica as one of America's Best Employers for Women for the fifth year in a row. In addition, for the tenth time Primerica has been voted a Best Employer by Gwinnett Magazine. Primerica is a great place to work! Join our team to experience what it's like to work at "one of the best places to work in the metro Atlanta".

About this PositionWe are seeking an experienced Senior Data Engineer to design, develop, and maintain scalable data solutions that support enterprise analytics, reporting, and business intelligence initiatives. This role will be responsible for building and optimizing ETL pipelines, data marts, and modern lakehouse architectures within a Databricks and AWS environment. The ideal candidate will have strong expertise in Python, SQL, cloud-based data platforms, and data modeling, along with experience collaborating with business and technical stakeholders to deliver high-quality data products.
The salary range for this role is $130k - $135k.
This position is not eligible for employment sponsorship, now or in the future.Responsibilities & Qualifications

Responsibilities

  • Design and implement ETL processesand data architectureto support the correct functioning of the analytics environment, as well as client and third-party reporting environments and dashboards
  • Own end-to-end design, development, and maintenance of data martsto support reporting, analytics, and business intelligence needs
  • Collaborate with business and technology stakeholders to support the development, enhancement, and effective utilization of lakehouse and medallionarchitectures
  • Perform the design, development, and extension of data marts, metadata, data models and data products, aligning withorganizational data strategy
  • Ensure all data engineeringand datapipelinecode artifacts are maintained in a version control system
  • Assist with the integration of data solutions into applications and downstream systems
  • Participate in Agile processesincluding Scrum
  • Use AI tools such as GitHub Copilot to assist in rapid prototyping and development
  • Mentoring of junior engineers, including development best-practices, code reviews and ensuring appropriate usage of Jira

Essential Skills, Knowledge, and Experience

  • Bachelor's degree in Information Technology, Computer Science, Engineering, or equivalent practical experience
  • Minimum 5 years of experience in Information Technology, with strong hands-on experience in Data Engineeringand enterprise data solutions
  • Hands-on data engineering experience with Databricks, preferably within the AWS ecosystem
  • Advanced understanding of the Databricks platform, including notebook development, workflow/job orchestration, data ops (i.e. IaC, DABs), cluster management, and scalable data processing
  • Experience with AWS services such as Amazon S3, EC2, Lambda, IAMand other cloud-native data technologies
  • Strongprogramming skills inPython and SQL, and other modern programming languages as needed
  • Advanced knowledge of database modeling, particularly with IBM DB2, Databricks and Mongo DB
  • Advanced SQL skills, including query tuning and performance optimization
  • Experience with relational databases such as SQL Serverand IBM DB2
  • Proficiency with debugging, troubleshooting, and applying appropriatedesign patterns
  • Strong understanding of data engineering principles, including data ingestion, transformation, pipeline development, and data movement
  • Experience with Data Governance platforms, such as Collibra

Preferred Skills, Knowledge, and Experience

  • Experience with streaming platforms such as Kafka, AWS Kinesis
  • Experience with BI/reporting toolssuch as Power BIor Tableau
  • Experience with data virtualizationtechnologies
  • Experience creating and maintaining test datafor lower environments
  • Experience with Kubernetes and Terraformis a plus
  • Experience with GitHub Copilot, Claude Code or similar AI tooling
  • Knowledge of Palantir would be a plus
  • Comfortable working with analysts and business stakeholders to understand data needs and requirements

FLSA status:
This position is exempt (not eligible for overtime pay):

YesOur Benefits:
  • Day one health, dental, and vision insurance

  • 401(k) Plan with competitive employer match

  • Vacation, sick, holiday and volunteer time off

  • Life and disability insurance

  • Flexible Spending Account & Health Savings Account

  • Professional development

  • Tuition reimbursement

  • Company-sponsored social and philanthropy events

It has been and will continue to be the policy of Primerica, Inc., and its subsidiaries to be an Equal Opportunity Employer. We provide equal opportunity to all qualified individuals regardless ofrace, sex, color, religious creed, religion, national origin, citizenship status, age, disability, pregnancy, ancestry, military service or veteran status, genetic or carrier status, marital status, sexual orientation, or any classification protected by applicable federal, state or local laws.

At Primerica, we believe that diversity and inclusion are critical to our future and our mission - creating a foundation for a creative workplace that leads to innovation, growth, and profitability. Through a variety of programs and initiatives, we invest in each employee, seeking to ensure that our people are not only respected as individuals, but also truly valued for their unique perspectives.


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