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AWS Data Engineer

HMG America
Department:Data Engineer
Type:REMOTE
Region:USA
Location:United States
Experience:Mid-Senior level
Salary:$170,000 - $170,000
Skills:
PYSPARKAPACHE ICEBERGEMRGLUEAWS
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Job Description

Posted on: May 26, 2026

Job Title:AWS Data EngineerJob Type: FTE / ContractLocation: Remote USASalary: $170K/Year Full-Time OR $75/hr on Contract

We are looking for a highly skilled AWS Data Engineer with strong experience in PySpark, Apache Iceberg, and AWS-native data architectures. The ideal candidate should have hands-on expertise building scalable and high-performance data platforms handling millions of rows of data.

Required Skills:

  • Strong hands-on experience with PySpark
  • Strong hands-on experience with Apache Iceberg
  • Experience with EMR + Glue
  • Deep understanding of AWS native architecture
  • Experience designing scalable and performant applications/data pipelines
  • Knowledge of data lake and distributed processing concepts
  • Experience handling large-scale datasets and optimization techniques

Good to Have:

  • Exposure to Agentic Workflows
  • Experience with modern AI/data engineering ecosystems

Responsibilities:

  • Build and optimize scalable ETL/data pipelines using PySpark
  • Design AWS-based data engineering solutions using EMR, Glue, S3, Iceberg, etc.
  • Improve performance and scalability for large-scale data processing systems
  • Collaborate with architects, analysts, and engineering teams on data initiatives
  • Ensure reliability, monitoring, and best practices across data platforms

Extracted Text from Image:

  • EMR + Glue
  • Strong hands on with PySpark
  • Strong hands-on with Iceberg
  • Understand internals of AWS native architecture
  • Worked with design principles handling millions of rows and building performant applications
  • Good to have exposure to agentic workflows
Originally posted on LinkedIn

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