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Insurance Data Engineer Jobs in Georgia (NOW HIRING)

Data Engineer

Alpharetta, GA · On-site

$50 - $55/hr

Qualification And Education: * 10-12 years of professional experience in data engineering or ... Medical, Dental, and Vision Insurance * 401(k) Retirement Plan * Health Savings Account (HSA)

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... Therefore, we offer a comprehensive benefits package: -Health, Dental, and Vision -Life Insurance ...

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

New

Public Health Data Engineer

Atlanta, GA

$110K - $132K/yr

Guidehouse seeks a Data Engineer to support the development, maintenance, and enhancement of data ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Public Health Data Engineer

Atlanta, GA · On-site

$70K - $116K/yr

Guidehouse seeks a Data Engineer to support the development, maintenance, and enhancement of data ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Lead Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

As a Lead Data Engineer on our Industrial AI & Data Platforms team, you will architect and own the ... This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term ...

Lead Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

As a Lead Data Engineer on our Industrial AI & Data Platforms team, you will architect and own the ... This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term ...

Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

About Your Role As a Senior Data Engineer, you will design, build, and optimize the data platform ... Fully company-paid options for medical (both in-person and virtual), dental and vision insurance

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 ...

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 ...

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 ...

SR Data Engineer

Atlanta, GA · 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

Atlanta, GA · On-site

$101K - $138K/yr

We are seeking a Senior Data Engineer to support the design, development, and optimization of ... We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and ...

Gen AI - Data Engineer II

Atlanta, GA · On-site

$126K - $208K/yr

... insurers in the industry for over 170 years. Join us to discover a culture that is rooted in ... As a Data Engineer, you will play a key role in growing and transforming our analytics landscape.

Showing results 21-40

Insurance Data Engineer information

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.

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 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.

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 August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 19% Part Time, 9% Contract, and 3% Nights. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

Data Engineer

CYNET SYSTEMS

Alpharetta, GA • On-site

$50 - $55/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 27 days ago


Job description

Job Overview:

Pay Range: $50.00hr - $55.00hr

Requirement/Must Have:

  • 5+ years building batch and/or streaming pipelines with Spark.
  • Deep understanding of Spark fundamentals including lazy evaluation, transformations vs. actions, partitions, shuffles, joins, and caching.
  • Experience with Databricks platform on Azure including Unity Catalog (catalogs/schemas/tables, permissions, external locations, storage credentials, lineage).
  • Proficiency with Databricks Jobs/Workflows for task orchestration, cluster policies, retries, and parameters.
  • Experience with Git integration (Repos), CI/CD, and environment promotion.
  • Knowledge of cloud storage and access on Azure, specifically secret management via Databricks secret scopes and Key Vault integration.
  • Experience with Delta Lake including ACID transactions, time travel, MERGE/UPDATE/DELETE, and schema enforcement/evolution.
  • Strong SQL skills including complex SQL with CTEs and window functions.
  • Experience with data modeling and architecture using Medallion (bronze/silver/gold) patterns for data lakes.
  • Ability to design tables for CDC and incremental processing.
  • Experience with large scale data processing including cluster sizing, autoscaling, and cost optimization.
  • Familiarity with observability tools such as Spark UI, metrics, event logs, and Delta logs.
  • Knowledge of software engineering practices including Python packaging, code quality, and testing (pytest, chispa).
  • Strong verbal and written communication skills.

Responsibilities:

  • Build and maintain batch and streaming data pipelines using Spark and PySpark.
  • Manage Databricks platform components including Unity Catalog and Workflows.
  • Implement data modeling strategies such as partitioning and file layout to match read patterns.
  • Ensure data governance, security, and compliance within the Databricks environment.
  • Execute CI/CD processes for Databricks using Repos and asset bundles.
  • Collaborate with stakeholders and provide technical documentation.

Nice to Have:

  • Performance tuning: broadcast joins, AQE, skew mitigation, and shuffle optimization.
  • Structured Streaming and Auto Loader for incremental ingestion.
  • Declarative pipelines with Delta Live Tables (DLT).
  • ADLS Gen2: ABFS access, ACLs vs. RBAC, and managed identity.
  • OPTIMIZE, Z ORDER, VACUUM and retention policies.
  • Compaction and small files mitigation strategies.
  • Query optimization and execution plan analysis in Databricks SQL.
  • Lakehouse design trade-offs and table constraints.
  • Handling TB scale datasets and throughput vs. latency trade-offs.
  • Privilege model in Unity Catalog; table, row, and column level security patterns.
  • PII handling, masking/anonymization, and auditability.
  • Scala, dbt, Kafka/Event Hubs, ADF/Airflow, Terraform, Power BI, data mesh concepts, and SCD patterns.

Skills:

  • Spark.
  • PySpark.
  • Azure Databricks.
  • Unity Catalog.
  • Delta Lake.
  • SQL.
  • Python.
  • Azure Data Lake Storage (ADLS).
  • CI/CD.
  • Data Modeling.
  • Java.

Qualification And Education:

  • 10-12 years of professional experience in data engineering or related fields.
  • Extensive experience with the Azure cloud ecosystem.

Benefits:

Our Benefits Include:

  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities

Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.


About Cynet Systems


Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.

As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.


Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

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