FUSTIS LLC
AWS Data Engineer (Multiple Location)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer with 10+ years of experience, hybrid work in Smithfield, RI or Raleigh, NC, for 12 months at $60-62/hr. Requires expertise in AWS Batch, Oracle SQL, Java, and containerized applications.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
496
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🗓️ - Date
July 23, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Raleigh, NC
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🧠 - Skills detailed
#Spring Boot #AWS (Amazon Web Services) #Data Ingestion #SQL (Structured Query Language) #Batch #Docker #Data Lineage #Data Pipeline #Disaster Recovery #Data Engineering #Oracle #Cloud #S3 (Amazon Simple Storage Service) #Perl #Data Quality #Java #IAM (Identity and Access Management) #Data Processing
Role description
Job Description
Job Title: AWS Data Engineer
Location: Smithfield, RI or Raleigh, NC – Hybrid
Duration: 12 Months
Eligibility: USC, GC-EAD and H4-EAD
Pay Rate: $60-62/hr. on C2C
Mode of Interview: Virtual
Experience: 10+ Years
Job Description:
Technical Skills
AWS Batch, Spring Batch, Control-M, Oracle SQL, PL/SQL, Java, Spring Boot, Docker, AWS (ECS/EKS, S3, IAM, Step Functions), Korn Shell (ksh), and Perl.
As an AWS Data Engineer, you will work on the modernization of old batch cycle by migrating legacy, Control-M managed workflows into high-performance cloud data pipelines. You will reverse-engineer existing on-premise logic and re-architect critical jobs into containerized Spring Batch applications deployed via AWS Batch. This role focuses on maintaining strict 8:00 AM data processing SLAs while implementing robust cloud disaster recovery, data lineage tracking, and data quality frameworks for Rapid Data Ingestion platform.
Job Description
Job Title: AWS Data Engineer
Location: Smithfield, RI or Raleigh, NC – Hybrid
Duration: 12 Months
Eligibility: USC, GC-EAD and H4-EAD
Pay Rate: $60-62/hr. on C2C
Mode of Interview: Virtual
Experience: 10+ Years
Job Description:
Technical Skills
AWS Batch, Spring Batch, Control-M, Oracle SQL, PL/SQL, Java, Spring Boot, Docker, AWS (ECS/EKS, S3, IAM, Step Functions), Korn Shell (ksh), and Perl.
As an AWS Data Engineer, you will work on the modernization of old batch cycle by migrating legacy, Control-M managed workflows into high-performance cloud data pipelines. You will reverse-engineer existing on-premise logic and re-architect critical jobs into containerized Spring Batch applications deployed via AWS Batch. This role focuses on maintaining strict 8:00 AM data processing SLAs while implementing robust cloud disaster recovery, data lineage tracking, and data quality frameworks for Rapid Data Ingestion platform.
