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Amazon Data Engineer Jobs in Georgia (NOW HIRING)

AWS Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

AWS Data Engineer Job Location: Atlanta, GA Job Type: Contract * Design, develop, and maintain ... Build and optimize data lakes and warehouses leveraging Amazon S3, Redshift, Athena, and Lake ...

CMMS Engineer, InfraOps Availability

Lithia Springs, GA · On-site

$94K - $118K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are currently seeking a CMMS Engineer to serve as a system mater expert within Amazon data center region. Ideal candidates will posses the ability to design, develop and deploy innovative ...

Big Data Engineer

Atlanta, GA · On-site

$53.50 - $71/hr

Big Data Engineer Location: Atlanta GA - Hybrid Duration: 12 months The successful candidate must ... Strong knowledge of Messaging Platforms like Kafka, Amazon MSK & TIBCO EMS or IBM MQ Series

Data Engineer - Manager

Atlanta, GA · On-site

$110K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In data engineering at PwC, you will focus on designing and building data infrastructure and ... S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, Google Cloud ...

Sr Data Engineer

Duluth, GA · On-site

$130K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with AWS services such as Amazon S3, EC2, Lambda, IAM and other cloud-native data technologies * Strong programming skills in Python and SQL, and other modern programming languages as ...

Amazon Data Services, Inc. Position: Tech Ops Engineer II - AMZ20957.3 Location: Atlanta, GA Multiple Positions Available: • Lead cross-functional teams and manage programs and processes ...

Senior data engineer

Alpharetta, GA · On-site

$100K - $136K/yr

Amazon Web Services, Google Cloud, Microsoft • Experience with big data technologies: Apache Spark, Hadoop, Kafka • Familiarity with data warehousing concepts • Understanding of CI/CD and DevOp ...

Data Engineer - Manager

Atlanta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

data science engineer

Alpharetta, GA · On-site

$108K - $130K/yr

Amazon Web Services, Google Cloud, Microsoft • Experience with big data technologies: Apache Spark, Hadoop, Kafka • Familiarity with data warehousing concepts • Understanding of CI/CD and DevOp ...

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Amazon Data Engineer information

See Georgia salary details

$37.6K

$109.5K

$149.9K

How much do amazon data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for amazon data engineer in Georgia is $109,530.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $116,100.00 per year, depending on experience, location, and employer.

What is an Amazon data engineer?

An Amazon Data Engineer is responsible for designing, building, and maintaining data infrastructure to support business intelligence and analytics. They work with large-scale datasets, optimize data pipelines, and ensure efficient data processing. Engineers collaborate with data scientists, analysts, and software teams to enable data-driven decision-making. Key skills include SQL, Python, ETL development, and experience with AWS services like Redshift, S3, and Glue.

What do Amazon data engineers do?

As an Amazon Data Engineer, you can expect to work on projects involving the design, development, and maintenance of large-scale data pipelines and data warehouses. Common challenges include optimizing data flows for efficiency, handling massive and complex datasets, and ensuring data quality and integrity across various sources. You'll frequently collaborate with data scientists, analysts, and other engineering teams to create scalable solutions that support business intelligence and machine learning initiatives. The fast-paced environment provides opportunities to solve unique technical problems and drive data-driven decision-making across Amazon’s diverse businesses.

What are the key skills and qualifications needed to thrive as an Amazon data engineer?

To thrive as an Amazon Data Engineer, you need strong proficiency in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically accompanied by a degree in computer science or a related field. Familiarity with AWS cloud services (like Redshift, S3, and Glue), big data tools, and relevant certifications such as AWS Certified Data Analytics are highly valued. Strong problem-solving skills, effective communication, and the ability to work collaboratively in cross-functional teams set standout candidates apart. These skills and qualities ensure data is accurately managed, integrated, and made accessible for analytics and business decisions in Amazon's complex environment.

Is an Amazon Data Engineer in demand?

Amazon Data Engineers are in high demand due to the company's extensive data infrastructure needs, with skills in cloud platforms like AWS, data pipelines, and SQL being highly sought after. The role offers strong job growth prospects as organizations increasingly rely on data-driven decision making.

What are the most commonly searched types of Amazon Data Engineer jobs in Georgia?

The most popular types of Amazon Data Engineer jobs in Georgia are:

What cities in Georgia are hiring for Amazon Data Engineer jobs?

Cities in Georgia with the most Amazon Data Engineer job openings:

Infographic showing various Amazon Data Engineer job openings in Georgia as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 86% In-person, 5% Hybrid, and 9% Remote job distribution, with an average salary of $109,530 per year, or $52.7 per hour.

AWS Data Engineer

Staffingine LLC

Atlanta, GA • On-site

$110K - $132K/yr

Contractor

Re-posted 26 days ago


Job description

Job Title: AWS Data Engineer 
Job Location: Atlanta, GA
Job Type: Contract

Job Description:

  • Design, develop, and maintain batch and streaming ETL/ELT pipelines using AWS services (Glue, Lambda, Step Functions, etc.).
  • Implement data ingestion frameworks from diverse sources (APIs, databases, streaming platforms).
  • Ensure data quality, governance, and security across all pipelines.
  • Build and optimize data lakes and warehouses leveraging Amazon S3, Redshift, Athena, and Lake Formation.
  • Collaborate with data scientists, analysts, and business stakeholders to deliver reliable datasets.
  • Monitor and troubleshoot data workflows, ensuring high availability and performance.
  • Stay updated with emerging AWS technologies and recommend improvements.

Required Skills & Qualifications

  • Strong experience with AWS cloud services: S3, Glue, Redshift, EMR, Kinesis, Lambda, DynamoDB, RDS, Athena, SNS. SQS.
  • Proficiency in SQL, Python and PySpark
  • Knowledge of data modeling, schema design, and performance tuning.
  • Familiarity with CI/CD pipelines and DevOps practices tool (Terraform, CloudFormation).
  • Experience with security best practices (IAM, encryption, compliance).