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

AXIS Capital

Data Engineer

Alpharetta, GA · On-site +1

$111.80K - $134.20K/yr

... insurance and reinsurance. We stand apart for our outstanding client service, intelligent risk ... As a Data Engineer, you will work closely with the Solution Engineer and Data Architecture teams to ...

Yamaha Motor Corporation, U.S.A.

Data Engineer

Kennesaw, GA

$105.80K - $127.10K/yr

Yamaha has an opportunity for a Data Engineer to join our Digital Transformation group in Kennesaw ... Life and AD&D Insurance * Wellness Program * Short-Term Disability Coverage (for hourly roles ...

Yamaha Motor Corporation

Data Engineer

Kennesaw, GA · On-site

$105.80K - $127.10K/yr

Yamaha has an opportunity for a Data Engineer to join our Digital Transformation group in Kennesaw ... Life and AD&D Insurance * Wellness Program * Short-Term Disability Coverage (for hourly roles ...

Yamaha

Data Engineer

Kennesaw, GA

$105.80K - $127.10K/yr

Yamaha has an opportunity for a Data Engineer to join our Digital Transformation group in Kennesaw ... Life and AD&D Insurance * Wellness Program * Short-Term Disability Coverage (for hourly roles ...

FanDuel

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

THE POSITION Our roster has an opening with your name on it We are looking for a Data Engineer to ... This role may offer the following benefits: medical, vision, and dental insurance; life insurance ...

FanDuel

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

THE POSITION Our roster has an opening with your name on it We are looking for a Data Engineer to ... This role may offer the following benefits: medical, vision, and dental insurance; life insurance ...

Reply

Data Engineer

Atlanta, GA

$110.10K - $132.20K/yr

Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security ... and services, banking, insurance and public administration sectors in the definition and ...

Tata Consultancy Service Limited

Data Engineer

Atlanta, GA · On-site

$120K - $140K/yr

Must Have Technical/Functional Skill We are looking for a Data Engineer to design, build, and ... Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional ...

Contact Government Services, LLC

Data Engineer

Atlanta, GA

$110.10K - $132.20K/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 ...

Contact Government Services, LLC

Data Engineer

Atlanta, GA

$110.10K - $132.20K/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 ...

Honeywell

Lead Data Engineer

Atlanta, GA

$110.10K - $132.20K/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 ...

Honeywell

Lead Data Engineer

Atlanta, GA

$110.10K - $132.20K/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 ...

Nelson

Data Engineer

Alpharetta, GA · On-site +1

$70K - $100K/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 ...

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All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Decatur, GA

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 May 30, 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.

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 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 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 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:
Insurance Data Engineer jobs near you

Data Engineer

Tata Consultancy Service Limited

Atlanta, GA • On-site

$100K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago

Job description

Responsibilities:
  • Defines data requirements, gather, and wrangle large scale of structured and unstructured data, and validate data by running various data tools in the Data Environment.
  • Supports the standardization, customization, and ad-hoc data analysis, and will develop the mechanisms to ingest, analyze, validate, normalize and clean data.
  • Creates data policy and develop interfaces and retention models which requires synthesizing or anonymizing data.
  • Implements statistical data quality procedures on new data sources, and by applying rigorous iterative data analytics, supports Data Scientists and analytics and insights creation in data sourcing and preparation to visualize data and synthesize insights of commercial value.
  • Develops and maintains data engineering best practices and contributes to Insights on data analytics and visualization concepts, methods and techniques.
  • Works closely with the data science and business intelligence teams to develop data models and pipelines for research, reporting, and machine learning.
  • Design, implement, and support scalable data infrastructure solutions to integrate with multi-heterogeneous data sources, aggregate and retrieve Big Data in a fast and safe mode, curate data that can be used in BI reporting, analysis, machine learning models and ad-hoc data requests.
  • Build data pipelines that clean, transform, and aggregate data from disparate sources.
  • Engages with business teams to gather requirements and design data solutions.
  • Mentors team of more Junior Data Engineers.
  • Collaborates across multiple projects to provide data engineering expertise across teams.
  • Analyzes most relevant insights and shares with leadership to provide strategic recommendations for the business
  • Lead a team of data engineers and act as a key senior contributor to a data engineering project.

Skills and Experience:
  • 7+ years of overall IT experience
  • 5+ years of experience in a data engineering/ETL role with a track record of manipulating, processing, and extracting value from large datasets
  • 3+ years of experience with Big Data tools/technologies like Hadoop, Spark, Spark SQL, Kafka, Sqoop, Hive, S3, HDFS, or Cloud platforms e.g. AWS, GCP, etc.
  • 3+ years building, testing, and optimizing data ingestion pipelines, architectures, and data sets with Tibco, IBM or others.
  • Databricks UI, Managing Databricks Notebooks, Delta Lake with Python, Delta Lake with Spark SQL, Delta Live Tables, Unity Catalog.
  • High-velocity high-volume stream processing with Apache Kafka and Spark Streaming.
  • Strong SQL skills with ability to write intermediate complexity queries.
  • ETL experience with PySpark, Spark SQL , IBM Data Stage or similar.
  • Agile Scrum, Kanban or SAFe experience.

Skills Desired
  • Databricks, Python (and/or Scala) and PySpark/Scala-Spark.
  • Database solutions like Databricks, Teradata, Mainframe, DB2 or BigQuery.
  • BI Solutions like Spotfire, OAC, Tableau or PowerBI
  • Azure, AWS Serverless technologies, like, S3, Kinesis/MSK, lambda, and Glue.
  • Messaging Platforms like Kafka, Amazon MSK & TIBCO EMS or IBM MQ Series.
  • Strong SQL skills with ability to write intermediate complexity queries
  • Experience with GIT code versioning software

Salary Range-$100,000-$130,000 a year
#LI-KR3
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

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