ETL Developer IV

Emcube Technologies Inc; Illinois; On-site; USD 83,000 - 131,000; Full time

Job summary

Emcube Technologies Inc. in Chicago, IL, seeks an ETL Developer IV to lead design, development, and optimization of large-scale ETL pipelines in AWS. The role focuses on reliable, scalable data processing for enterprise reporting and analytics.

You will collaborate with architects and engineers, implement Python/PySpark and SQL-based pipelines, manage CI/CD deployments, and provide production support and root-cause analysis to maintain performance and stability.

Qualifications

• 6+ years of experience in ETL/data engineering.
• Contract employment type for this role.

Responsibilities

• Design, develop, and optimize ETL workflows using AWS services, Python/PySpark, and SQL for large-scale data processing.
• Manage ETL scheduling, CI/CD deployments, infrastructure automation, and production support; perform root cause analysis and resolve pipeline issues.
• Collaborate with architects, platform engineers, developers, and business teams to define technical designs and deliver scalable data solutions.

Skills

ETL

AWS

Python/PySpark

SQL

Job description

Title: ETL Developer IV Location: Chicago, IL Experience: 6+ Years Employment Type: Contract

Lead the design, development, deployment, and optimization of large-scale enterprise ETL pipelines within an AWS cloud environment. Build automated data processing solutions to support enterprise reporting and analytics while ensuring performance, reliability, and production stability.

Key Responsibilities:

• Design, develop, and optimize ETL workflows using AWS services, Python/PySpark, and advanced SQL for large-scale data processing.
• Manage ETL scheduling, CI/CD deployments, infrastructure automation, database monitoring, and production support; perform root cause analysis and resolve pipeline issues.
• Collaborate with architects, platform engineers, developers, and business teams to define technical designs, establish coding standards, estimate efforts, and deliver scalable data solutions.

Email: [e-mail]