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

Senior Data Engineer

Atlanta, GA ยท On-site

$147K/yr

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 ...

New

Senior Data Engineer

Atlanta, GA ยท On-site

$147K/yr

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 ...

New

Senior Data Engineer

Atlanta, GA ยท On-site

$147K/yr

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 ...

New

Senior Data Engineer

Decatur, GA ยท On-site

$103K - $140K/yr

Metas Solutions has an "opening" for (2) talented Senior Data Engineers located in the Atlanta, GA ... Comprehensive benefits package available, Medical, Dental, Vision and Life Insurance, Paid Time Off ...

New

Senior Data Engineer

Decatur, GA ยท On-site

$103K - $140K/yr

Metas Solutions has an " opening" for (2) talented Senior Data Engineers located in the Atlanta, GA ... Comprehensive benefits package available, Medical, Dental, Vision and Life Insurance, Paid Time Off ...

New

Senior Data Engineer

Decatur, GA

$103K - $140K/yr

Metas Solutions has an " opening" for (2) talented Senior Data Engineers located in the Atlanta, GA ... Comprehensive benefits package available, Medical, Dental, Vision and Life Insurance, Paid Time Off ...

New

Palantir Data Engineer + Typescript or React

Atlanta, GA ยท On-site

$110K - $132K/yr

Experience in the insurance domain is a plus. Key Requirements โ€ข 3-7 years of overall experience in data engineering, building and maintaining large-scale data pipelines and platforms. โ€ข 2+ years ...

New

Fabric Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

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

SR Data Engineer

Atlanta, GA ยท On-site

$112K - $134K/yr

Summary/Objective Alliance Technical Group is seeking an experienced Senior Data Engineer to design ... Employee Benefits: Key Benefits Include: - Medical, Dental, and Vision Insurance - Flexible ...

Senior Data Engineer

Alpharetta, GA ยท On-site

$160K - $165K/yr

Delta Dental Insurance Company TITLE :Senior Data Engineer Location: 1130 Sanctuary Parkway, Alpharetta, GA 30009; Must live within reasonable commuting distance from HQ and able to appear in office ...

Data Engineer (AWS, Azure, GCP)

Atlanta, GA ยท 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 ...

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 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 ...

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Showing results 1-20

Insurance Data Engineer information

See Decatur, GA salary details

$43.4K

$126.6K

$173.3K

How much do insurance data engineer jobs pay per year?

As of Jul 12, 2026, the average yearly pay for insurance data engineer in Decatur, GA is $126,646.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $134,200.00 per year, depending on experience, location, and employer.

How much do insurance engineers make?

Insurance data engineers typically earn a median salary ranging from $80,000 to $120,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL can command higher salaries. Compensation may also include benefits such as bonuses and professional development opportunities.

What engineers make $500,000?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership roles. High compensation is often associated with seniority, complex data systems, and working in competitive markets or large organizations.

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.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, manage, and oversee data infrastructure. Data engineers are essential for building scalable data pipelines, ensuring data quality, and implementing AI solutions effectively. Their expertise remains critical in managing complex data environments and integrating AI tools into business processes.

What engineers make 300,000 a year?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $300,000 or more annually, especially with extensive experience, advanced skills in SQL, Python, cloud platforms, and certifications. High-level roles often involve leadership, complex data architecture, and strategic decision-making, typically in large organizations or with specialized expertise.
What are popular job titles related to Insurance Data Engineer jobs in Decatur, GA? For Insurance Data Engineer jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Decatur, GA look for? The top searched job categories for Insurance Data Engineer jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Insurance Data Engineer jobs? Cities near Decatur, GA with the most Insurance Data Engineer job openings:
Senior Data Engineer

Senior Data Engineer

System One Holdings, LLC

Atlanta, GA โ€ข On-site

$147K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 3 days ago

New


Job description

Senior Data Engineer
Location: Preference will be given to candidates located in Atlanta, GA or the D.C. Metro area.
US Citizen or Legal Permanent Resident required per government contract
Clearance: Eligible for Public Trust Clearance
Target Salary: $147,000 annually, plus benefits

Job Description:
The DMAC EDAV Team is seeking (2) Senior Data Engineers. In this position you will play a critical role within the organization, helping to manage and transform complex data ecosystems to provide scalable, analysis-ready solutions that inform senior leadership decisions.
You will be at the technical forefront of data pipeline development, data architecture, and infrastructure optimization, ensuring that the organization's analytical operations rest on a robust and secure foundation. This is a role for a highly technical and driven individual capable of building enterprise-level data management systems that support current and future data science initiatives. Your expertise will enable critical insights, informing strategies, optimizing data processes, and facilitating efficient decision-making.
You will work alongside a team of data scientists, operational leaders, and infrastructure architects to maintain the integrity, scalability, and performance of critical data systems within the organization.
Key Responsibilities:
โ€ข Design, implement, and maintain enterprise?grade ETL/ELT pipelines using Python and SQL
โ€ข Build, optimize, and manage data models, warehouses, and lakehouse environments (e.g., Databricks)
โ€ข Develop processes for ingesting, cleaning, validating, and transforming large?scale datasets from APIs, relational sources, and unstructured systems
โ€ข Implement data quality, metadata management, and governance controls to ensure consistency and trust in analytics workflows
โ€ข Collaborate with cloud engineering teams to deploy and manage data solutions on Azure
โ€ข Monitor, troubleshoot, and improve pipeline performance using logging, alerting, and CI/CD practices
โ€ข Document data architecture, pipeline logic, and operational procedures to enable team collaboration and maintainability
Job Requirements:
โ€ข 8+ years of experience in data engineering, software engineering, or database architecture
โ€ข 6+ years of experience in Python and SQL with experience building scalable ETL/ELT pipelines
โ€ข 2+ years of experience with cloud data ecosystems like Azure Data Factory
โ€ข 1+ years of experience with modern data processing frameworks like Databricks
โ€ข Experience with integrating and transforming data from diverse formats and systems (APIs, flat files, relational sources)
โ€ข Knowledge of relational and NoSQL databases, data modeling, and schema design
โ€ข Knowledge of data governance, security, and compliance principles for enterprise data environments
โ€ข Bachelor's degree in computer science, Engineering, Information Systems, or a related, quantitative field
Preferred Skills:
โ€ข Experience with supporting key data engineering efforts in a government related environment
โ€ข Experience with collaborating with data scientists and analysts to define data models that meet evolving organizational goals
โ€ข Knowledge of IT infrastructure practices and data access methodologies
โ€ข Knowledge of advanced data security practices, governance policies, and compliance frameworks
โ€ข Previous CDC Experience
โ€ข Certifications such as Azure Data Engineer Associate
Vetting:
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.
System One, and its subsidiaries including Joulรฉ and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.
System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.
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