Data Engineer: Build Scalable Pipelines & Warehouses

Cloud Analytics Technologies, LLC; Chicago (IL); On-site; USD 90,000 - 110,000; Full time

Job summary

Cloud Analytics Technologies, LLC seeks a Data Engineer to build and maintain scalable data pipelines and data integration solutions in Chicago, IL. Responsibilities include working with Python, SQL and Apache Spark; managing data warehouses and databases; and ensuring data quality and pipeline performance for reliable analytics delivery.

This contract-based role runs ~6 months with C2C engagement. Applicants should have hands-on experience with ETL, data modeling, and performance tuning in

Qualifications

• Experience building data pipelines and integrating data from multiple sources.
• Experience with data modeling and ETL process design.
• Strong SQL proficiency and data warehouse concepts.

Responsibilities

• Build and maintain scalable data pipelines and data integration solutions.
• Manage data warehouses and databases.
• Ensure data quality and pipeline performance for reliable analytics.

Skills

Python

SQL

Apache Spark

Job description

Cloud Analytics Technologies, LLC seeks a Data Engineer to build and maintain scalable data pipelines and data integration solutions in Chicago, IL. Responsibilities include working with Python, SQL and Apache Spark; managing data warehouses and databases; and ensuring data quality and pipeline performance for reliable analytics delivery.

This contract-based role runs ~6 months with C2C engagement. Applicants should have hands-on experience with ETL, data modeling, and performance tuning in