

NLB Services
AWS Data Engineer - Only Locals to Atlanta
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an "AWS Data Engineer" in Atlanta, offering a contract of unspecified length at a competitive pay rate. Requires 5+ years in data engineering, AWS services, data pipelines, migration, and familiarity with regulated environments.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 27, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Atlanta, GA
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🧠 - Skills detailed
#Replication #Migration #Redshift #S3 (Amazon Simple Storage Service) #Kafka (Apache Kafka) #Data Modeling #DevOps #"ETL (Extract #Transform #Load)" #Terraform #DMS (Data Migration Service) #Data Migration #Data Replication #AWS (Amazon Web Services) #Data Pipeline #Batch #Data Access #Snowflake #RDS (Amazon Relational Database Service) #Cloud #Data Engineering
Role description
Basic Qualifications: (required skills & experience)
• 5+ years of experience in data engineering, with strong hands-on expertise in AWS data services (Glue, EMR, S3, RDS, DataSync, DMS)
• 5+ years of Proven experience building and managing data pipelines (batch and streaming) in cloud environments
• 5+ years of Strong experience in data migration, transformation frameworks, and large-scale data replication
• 5+ years of Deep understanding of data modeling, data transformation, and reconciliation techniques
• 5+ years of Experience designing and implementing secure data access and governance (least privilege principles)
• 5+ years of Hands-on experience with data validation, auditing, and reconciliation processes
• Familiarity with regulatory or finance data environments and reporting workloads
• 5+ years of Strong problem-solving skills and ability to work in a collaborative, fast-paced environment
Nice to Have (Preferred, not mandatory):
• Experience with real-time/streaming technologies (e.g., Kafka, Kinesis)
• Exposure to data warehousing platforms (Redshift, Snowflake, etc.)
• Experience with infrastructure-as-code (Terraform, CloudFormation)
• Knowledge of DevOps practices and CI/CD for data pipelines
• Prior experience working in regulated industries (Financial Services, Healthcare, etc.)
Basic Qualifications: (required skills & experience)
• 5+ years of experience in data engineering, with strong hands-on expertise in AWS data services (Glue, EMR, S3, RDS, DataSync, DMS)
• 5+ years of Proven experience building and managing data pipelines (batch and streaming) in cloud environments
• 5+ years of Strong experience in data migration, transformation frameworks, and large-scale data replication
• 5+ years of Deep understanding of data modeling, data transformation, and reconciliation techniques
• 5+ years of Experience designing and implementing secure data access and governance (least privilege principles)
• 5+ years of Hands-on experience with data validation, auditing, and reconciliation processes
• Familiarity with regulatory or finance data environments and reporting workloads
• 5+ years of Strong problem-solving skills and ability to work in a collaborative, fast-paced environment
Nice to Have (Preferred, not mandatory):
• Experience with real-time/streaming technologies (e.g., Kafka, Kinesis)
• Exposure to data warehousing platforms (Redshift, Snowflake, etc.)
• Experience with infrastructure-as-code (Terraform, CloudFormation)
• Knowledge of DevOps practices and CI/CD for data pipelines
• Prior experience working in regulated industries (Financial Services, Healthcare, etc.)






