Onsite Role: Data Engineer at Chicago, IL: NEED LOCAL ONLY

[HMG America]

Hi,

This is Harman and I am working with HMG America LLC, The best Business Solutions focused Information Technology Company with IT consulting and services, software and web development, staff augmentation and other professional services. One of our direct clients is looking for Data Engineer. Below is the detailed job description. Kindly let me know if you feel comfortable. Thanks,

Data Engineer (PySpark + AWS + Iceberg)
Location : Chicago, IL (Onsite from day 1)
Duration: 6-12 months

NEED LOCAL ONLY

Rate: $55/hr on C2C max.

Job Summary

We are looking for a skilled Data Engineer to design and build scalable data solutions using PySpark and AWS services. The ideal candidate will have hands-on experience in building modern data platforms using Apache Iceberg and implementing Medallion architecture on AWS.

 

Key Responsibilities

• Design and implement end-to-end data solutions using PySpark, ensuring scalability and performance.
• Build and manage data pipelines using AWS services such as AWS Glue, EMR, and Lambda.
• Develop data products using PySpark + AWS Glue stack.
• Implement Medallion Architecture (Bronze, Silver, Gold layers) for structured data processing.
• Work with Apache Iceberg tables for efficient data storage, versioning, and schema evolution.
• Ensure data quality, governance, and optimization across pipelines.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Optimize data processing jobs and improve performance and cost-efficiency on AWS.

 

Required Skills & Experience

• Strong experience in PySpark for data processing and pipeline development.
• Hands-on experience with AWS ecosystem (Glue, EMR, Lambda, S3).
• Experience implementing Medallion Architecture.
• Practical knowledge of Apache Iceberg or similar table formats.
• Strong understanding of distributed data processing and big data frameworks.
• Experience designing scalable and reliable data pipelines.
• Good understanding of data modeling and ETL/ELT concepts.

 

Preferred Qualifications

• Experience working outside of Databricks-only environments (ability to build solutions using native AWS stack).
• Familiarity with modern data lake architectures and open table formats.
• Knowledge of performance tuning and cost optimization in AWS.
• Experience with CI/CD pipelines for data engineering workflows.

 

What the Client is Specifically Looking For

• Engineers who can independently design solutions using PySpark (not limited to Databricks).
• Strong expertise in AWS-native data engineering tools.
• Hands-on implementation experience with Apache Iceberg (preferred over Delta).
• Ability to build data products using Glue + PySpark stack.
• Clear understanding and implementation of Medallion architecture using AWS services

Thanks & Regards,

Harmanpreet Singh 

Senior US IT Recruiter

HMG America LLC