
AWS Data Engineer
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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