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Senior AWS Data Engineer

Pittsburgh , Pennsylvania

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Type: Direct-Hire

Experience: 0

Category: Information Technology

Contractor Work Model: Onsite

Brand: System One

Compensation Range: 136500.00

Job ID: 379331

Date Posted: 08/28/2026

Shortcut: http://jobs.systemone.com/MDEwzv


Senior AWS Data Engineer
Full-time
Hybrid – Lafayette, LA | Knoxville, TN | Birmingham, AL | Columbia, SC
Position Overview
Seeking a Senior AWS Data Engineer to develop, enhance, and maintain enterprise risk analytics applications in a financial services environment.
The primary focus is building cloud-based data pipelines and analytics solutions using AWS, Amazon Redshift, AWS Glue, Python, and SQL.
Key Responsibilities

  • Develop and enhance AWS-based data pipelines.
  • Build ETL/data processing solutions using AWS Glue.
  • Develop Python-based data processing and automation solutions.
  • Work with Amazon Redshift and optimize data processing performance.
  • Develop complex SQL queries for large datasets.
  • Support CI/CD and automated deployments.
  • Troubleshoot data quality and performance issues.
  • Support enterprise analytics applications in production.
  • Work independently on complex requirements.
  • Apply GenAI and AI-driven automation to data engineering workflows where applicable.
Must-Have Skills
  • 5+ years of AWS Data Engineering experience.
  • Strong Amazon Redshift experience.
  • Strong AWS Glue experience.
  • Strong Python development.
  • Advanced SQL.
  • ETL/Data Pipelines.
  • CI/CD and automated deployments.
  • Enterprise-scale data and analytics applications.
  • Data quality, troubleshooting, and performance optimization.
  • Production support experience.
  • Exposure to Generative AI / AI-enabled automation.
Nice-to-Have Skills
  • Financial services experience.
  • Enterprise Risk experience.
  • Risk Analytics experience.
Key Technologies
AWS | Amazon Redshift | AWS Glue | Python | SQL | ETL | Data Pipelines | Data Engineering | CI/CD | Analytics | Risk Analytics | GenAI | Automation
Education
  • Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related technical field.

The real hiring focus is AWS Data Engineering + Redshift + Glue + Python + Advanced SQL. Risk analytics experience is preferred.

#M1
#DI-CB2
#L1 - KB1



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