
Data Engineer
Location: Chicago, IL (Hybrid)
Overview
Our client is seeking a Data Engineer to build scalable data pipelines and support business intelligence initiatives.
Responsibilities
Design and maintain ETL pipelines.
Build and optimize data warehouses.
Ensure data quality and integrity.
Collaborate with analysts and data scientists.
Monitor and improve pipeline performance.
Requirements
Bachelor’s degree in Computer Science or related field.
3+ years of data engineering experience.
Strong SQL skills.
Experience with Python.
Experience with Snowflake, Redshift, or BigQuery.
Knowledge of Airflow or similar workflow tools.
Preferred Qualifications
Experience with Spark.
Familiarity with AWS or Azure data services.
