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Insurance Data Engineer Jobs in Georgia (NOW HIRING)

Data Engineer

Alpharetta, GA · On-site +1

$75K - $145K/yr

The Data Engineer will play a critical role in developing the data infrastructure that supports ... Pet Insurance * Opportunities for career advancement * Paid time off and holiday pay * Paid ...

Data Engineer

Alpharetta, GA · On-site +1

$75K - $145K/yr

The Data Engineer will play a critical role in developing the data infrastructure that supports ... Pet Insurance * Opportunities for career advancement * Paid time off and holiday pay * Paid ...

Data Engineer

Atlanta, GA · On-site +1

$75K - $145K/yr

The Data Engineer will play a critical role in developing the data infrastructure that supports ... Pet Insurance * Opportunities for career advancement * Paid time off and holiday pay * Paid ...

Big Data Engineer

Atlanta, GA · On-site +1

$48 - $50/hr

Employee benefits include, but are not limited to, health insurance (medical, dental, vision ... Collaborate with architects, data engineers, and data scientists to deliver robust and scalable ...

GCP /Python Data Engineer

Atlanta, GA

$110K - $132K/yr

Key Responsibilities Data Engineering & Pipeline Development Design, build, and maintain scalable ... Life and disability insurance * Employee assistance programs * Other benefits as provided by local ...

Fabric Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

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

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 ...

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

... specialized insurers. Our success is a direct reflection of the talented and diverse people who ... Provide technical leadership to data engineers, setting standards for solution design, coding ...

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients ... and services, banking, insurance and public administration sectors in the definition and ...

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 ...

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Insurance Data Engineer information

What health insurance covers Wegovy?

As an Insurance Data Engineer, understanding insurance coverage is essential. Coverage for Wegovy, a prescription weight management medication, varies by insurance plan and provider. Many health insurance plans, including some employer-sponsored plans and Medicare, may cover Wegovy if prescribed for approved indications, but prior authorization is often required.

What is the best cheapest insurance?

As an Insurance Data Engineer, evaluating the cheapest insurance involves analyzing data from multiple providers to identify affordable options that meet coverage needs. Comparing quotes, understanding policy details, and using data analysis tools can help find cost-effective insurance plans. However, the cheapest option may not always offer the best coverage, so balancing cost and coverage is essential.

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.

Does health insurance cover a pacemaker?

As an Insurance Data Engineer, you should know that health insurance typically covers pacemaker implantation and related procedures if deemed medically necessary, though coverage details vary by plan. Patients usually need prior authorization, and coverage may include device costs, surgery, and follow-up care. It is important to review specific policy terms and provider networks for accurate coverage information.

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.

Who does the cheapest insurance?

Insurance Data Engineers analyze data to help insurance companies identify cost-effective policies and pricing strategies. The cheapest insurance options typically depend on factors like coverage needs, customer profile, and provider discounts, rather than a specific role. Consumers should compare quotes from multiple providers to find the most affordable coverage.

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 Georgia? For Insurance Data Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Georgia look for? The top searched job categories for Insurance Data Engineer jobs in Georgia are:
What cities in Georgia are hiring for Insurance Data Engineer jobs? Cities in Georgia with the most Insurance Data Engineer job openings:
Infographic showing various Insurance Data Engineer job openings in Georgia as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Data Engineer

Data Engineer

Nelson

Alpharetta, GA • On-site, Remote

$75K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


Job description

The Data Engineer will play a critical role in developing the data infrastructure that supports design, planning, construction analytics, and business operations across the firm. This role focuses on building robust data pipelines, integrating architecture and design software systems, and enabling data-driven decision-making for project teams, leadership, and clients.
Attributes to support the NELSON Culture: Guiding Principles
  • Go All In: Own the Outcome. We go all in-with urgency, follow-through, and pride in the result
  • Be Direct. Be Respectful. Be Authentic. We keep it real-with clarity, candor, and care.
  • Grow with Purpose. We embrace growth-through learning, coaching, and continuous improvement.
  • Think Bold. Execute Smart. We think boldly-and pair ambition with discipline.
  • Make Space for Everyone. We value you-and build a culture where people can thrive and do their best work.

Qualifications:
To perform this job successfully, an individual must be able to perform each essential duty and responsibility satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Critical features of this job are described under the headings below. They may be subject to change at any time due to reasonable accommodation or other reasons.
Data Architecture & Pipeline Development:
  • Design, develop, and maintain scalable Extract, Transform, Load/Extract, Load, Transform (ETL/ELT) pipelines for structured and unstructured AEC (Architecture, Engineering, Construction) and business operational data (BIM models, CAD files, project schedules/delivery data, finance/resourcing/reforecasting data, IoT/sensor data).
  • Build and optimize data architectures supporting analytics, visualization, and AI/machine learning initiatives.
  • Design, build and maintain data pipelines and integrations between multiple systems/platforms leveraging tools such as Workato, Azure Data Factory, Databricks, SQL Server Integration Services and Microsoft Power Automate
  • Experience leveraging API integrations as well as direct server to server integrations
  • Ensure data is collected, stored, and accessible in reliable, scalable ways
  • Optimize data workflows for performance, security, and cost
  • Partner with IT, Enterprise and Practices to enable smooth data operations

Semantic Layer, Database & Infrastructure Management:
  • Develop and maintain cloud-based data lakes, warehouses, and relational databases (MSSQL, Azure SQL, AWS, GCP)
  • Author, maintain and manage complex database stored procedures and job schedules.
  • Partner with business intelligence teams to develop, maintain and streamline enterprise semantic layers leveraging Tableau, PowerBI and Databricks
  • Ensure data integrity, governance, versioning, and strong documentation standards.
  • Improve data accessibility for business leaders, designers and project managers.
  • Strong knowledge of Deltek Vantage Point, HubSpot and UltiPro a plus

Cross-Functional Collaboration:
  • Work with business intelligence teams to support dashboards, forecasting tools, and project performance analytics.
  • Support automation initiatives that reduce manual work in the design and project delivery process.

Analytics & Innovation:
  • Transform design and project data into standardized structures for forecasting, resource planning, carbon accounting, and operational analytics.
  • Enable integration and acceleration of Artificial Intelligence and Machine Learning (AI/ML) into business workflows.
  • Evaluate emerging technologies and help shape the firm's digital strategy.

Data Quality, Security & Governance:
  • Implement data validation, audit processes, and error-handling frameworks.
  • Ensure compliance with data privacy, security standards, and IT policies.
  • Create documentation, metadata, data dictionaries, and best-practice guidelines.

Education / Experience:
  • Bachelor's degree in data management or related field from an accredited University.
  • 10+ years' experience; or equivalent in appropriate education and experience in design profession and/or real estate consulting

National Salary range: $75,000-$145,000 (compensation factors are based upon years of relevant experience, qualifications/licensure, education, and location). Additional compensation includes bonuses and benefits. Bonuses can include but are not limited to: Long Term Incentive Plan, Short Term Incentive Plan, Profit Sharing
Benefits of NELSON: (additional benefit details can be found at: nelsonworldwide.com/careers)
  • 401(K) plan with company match
  • Full health benefits including medical, dental, and vision
  • Wellness program with rewards for healthy activities
  • Pet Insurance
  • Opportunities for career advancement
  • Paid time off and holiday pay
  • Paid parental leave
  • Flexible working schedules and work from home options based on client's needs
  • Professional Development including discretionary support and reimbursement for registrations, certifications, and membership to a professional organization

NELSON and its related affiliates are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to age, race, color, ancestry, religion, sex, sexual orientation, gender identity or expression, transgender, national origin, status as a protected veteran, disability or any other classification protected by law.
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Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.