Onsite C2C Role: Data Engineer at Chicago, IL

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