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Overnight Amazon Data Engineer Jobs in South Fulton, GA

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 ...

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

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 ...

... 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 ...

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Overnight Amazon Data Engineer information

See South Fulton, GA salary details

$42.2K

$123K

$168.3K

How much do overnight amazon data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for overnight amazon data engineer in South Fulton, GA is $123,002.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,600.00 and $130,400.00 per year, depending on experience, location, and employer.

What job categories do people searching Overnight Amazon Data Engineer jobs in South Fulton, GA look for?

The top searched job categories for Overnight Amazon Data Engineer jobs in South Fulton, GA are:

What cities near South Fulton, GA are hiring for Overnight Amazon Data Engineer jobs?

Cities near South Fulton, GA with the most Overnight Amazon Data Engineer job openings:

AWS Data Engineer

Staffingine LLC

Atlanta, GA • On-site

$110K - $132K/yr

Contractor

Re-posted 15 hours 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).