NLB Services
AWS Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer on a long-term contract in Atlanta, GA (hybrid, 3 days/week). Key skills include AWS services, SQL, Python, and PySpark. Experience with ETL/ELT pipelines and data governance is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 20, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Alpharetta, GA
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🧠 - Skills detailed
#S3 (Amazon Simple Storage Service) #Data Lake #DevOps #Athena #SNS (Simple Notification Service) #AWS (Amazon Web Services) #PySpark #Spark (Apache Spark) #Datasets #Batch #Cloud #Data Quality #RDS (Amazon Relational Database Service) #SQL (Structured Query Language) #Schema Design #Security #Compliance #Data Ingestion #"ETL (Extract #Transform #Load)" #Data Science #Data Engineering #Databases #Redshift #Terraform #Python #SQS (Simple Queue Service) #Data Modeling #IAM (Identity and Access Management) #Lambda (AWS Lambda) #DynamoDB
Role description
Job Role: AWS Data Engineer
Location: Atlanta, GA - Hybrid (3 Days in a week)
Job Type: Long Term Contract
Job Description:
Key Responsibilities:
· 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).
Job Role: AWS Data Engineer
Location: Atlanta, GA - Hybrid (3 Days in a week)
Job Type: Long Term Contract
Job Description:
Key Responsibilities:
· 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).
