Net2Source Inc.
ETL Specialist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an ETL Specialist in Chicago, IL, offering a contract length of "unknown" and a pay rate of "unknown." Key skills include ETL development, Databricks, Python, PySpark, AWS, and strong SQL proficiency.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 28, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Chicago, IL
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🧠 - Skills detailed
#Databricks #Data Quality #Data Ingestion #Datasets #"ETL (Extract #Transform #Load)" #PySpark #Scala #Spark (Apache Spark) #AWS (Amazon Web Services) #Data Engineering #Data Pipeline #Data Architecture #Cloud #Python #Data Framework #SQL (Structured Query Language)
Role description
Title: ETL Data Engineer
Location: Chicago, IL
Job Description:
We are seeking an experienced ETL Data Engineer to design, develop, and maintain scalable data pipelines and ETL processes. The role involves working closely with data architects, analysts, and business teams to ensure reliable data ingestion, transformation, and delivery across platforms.
Key Responsibilities:
• Design and implement ETL pipelines using Databricks, PySpark, and Python
• Process and transform large datasets using SQL and distributed data frameworks
• Build and optimize data workflows on AWS
• Ensure data quality, performance, and reliability of data solutions
• Collaborate with cross-functional teams to support analytics and reporting needs
Mandatory Skills:
• Strong experience in ETL development
• Hands-on expertise with Databricks
• Proficiency in Python and PySpark
• Experience with AWS cloud services
• Strong SQL skills
Title: ETL Data Engineer
Location: Chicago, IL
Job Description:
We are seeking an experienced ETL Data Engineer to design, develop, and maintain scalable data pipelines and ETL processes. The role involves working closely with data architects, analysts, and business teams to ensure reliable data ingestion, transformation, and delivery across platforms.
Key Responsibilities:
• Design and implement ETL pipelines using Databricks, PySpark, and Python
• Process and transform large datasets using SQL and distributed data frameworks
• Build and optimize data workflows on AWS
• Ensure data quality, performance, and reliability of data solutions
• Collaborate with cross-functional teams to support analytics and reporting needs
Mandatory Skills:
• Strong experience in ETL development
• Hands-on expertise with Databricks
• Proficiency in Python and PySpark
• Experience with AWS cloud services
• Strong SQL skills
