VBeyond Corporation
Azure Databrick Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Databricks Engineer in Chicago, IL, on a long-term contract. Key skills include PySpark, Azure Data Factory, Databricks, and SQL. In-person client interview required; strong Azure experience is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 12, 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
Illinois, United States
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🧠 - Skills detailed
#Azure #Data Pipeline #Databricks #Azure Data Factory #PySpark #"ETL (Extract #Transform #Load)" #Datasets #Azure cloud #Agile #Cloud #ADF (Azure Data Factory) #SQL (Structured Query Language) #Spark (Apache Spark) #Python #Scala #Data Engineering
Role description
Job Description
Job Title: Azure Data Engineer
Location: Chicago, IL (3 days onsite/week)
Duration: Long-term contract
Interview: In-person client interview required
Must-Have Skills:
• PySpark
• Azure Data Factory (ADF)
• Databricks
• SQL
Responsibilities:
• Design, build, and maintain scalable data pipelines
• Develop and optimize ETL/ELT processes using PySpark, ADF, and Databricks
• Work with large datasets, ensuring performance and reliability
• Collaborate with onsite and remote teams in an agile environment
Qualifications:
• Strong experience with Azure cloud ecosystem
• Proficiency in Python (PySpark) and SQL
• Hands-on experience with Databricks and Azure Data Factory
• Excellent problem-solving and communication skills
Job Description
Job Title: Azure Data Engineer
Location: Chicago, IL (3 days onsite/week)
Duration: Long-term contract
Interview: In-person client interview required
Must-Have Skills:
• PySpark
• Azure Data Factory (ADF)
• Databricks
• SQL
Responsibilities:
• Design, build, and maintain scalable data pipelines
• Develop and optimize ETL/ELT processes using PySpark, ADF, and Databricks
• Work with large datasets, ensuring performance and reliability
• Collaborate with onsite and remote teams in an agile environment
Qualifications:
• Strong experience with Azure cloud ecosystem
• Proficiency in Python (PySpark) and SQL
• Hands-on experience with Databricks and Azure Data Factory
• Excellent problem-solving and communication skills
