Talent Groups
Azure Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer with a 6-month contract, offering a pay rate of "competitive". Candidates should have 2–3 years of data engineering experience, proficiency in SQL, Python, and familiarity with Azure services and CI/CD tools.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 17, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Louisville, KY
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🧠 - Skills detailed
#GitHub #Azure Data Factory #Agile #Databricks #PySpark #SQL Queries #Data Engineering #Azure #Compliance #SQL (Structured Query Language) #DevOps #Azure DevOps #Azure Databricks #Data Pipeline #Python #Data Governance #ADF (Azure Data Factory) #Cloud #Spark (Apache Spark)
Role description
Job Description:
Summary:
Support the development of data engineering solutions on Azure with foundational skills in SQL and cloud platforms. Ideal for candidates ready to grow into a specialist role.
Responsibilities:
• Assist in building data pipelines using Azure services.
• Write and optimize SQL queries for analytics.
• Support CI/CD processes and cloud infrastructure tasks.
• Contribute to data governance and compliance efforts.
Required Experience:
• 2–3 years in data engineering or analytics using SQL.
• Exposure to Agile and DevOps practices.
Required Skills:
• Basic experience with Azure Data Factory or Azure Databricks.
• SQL, Python.
• PySpark
• Familiarity with CI/CD tools (e.g., Azure DevOps, GitHub).
• Data Warehousing Concepts
Job Description:
Summary:
Support the development of data engineering solutions on Azure with foundational skills in SQL and cloud platforms. Ideal for candidates ready to grow into a specialist role.
Responsibilities:
• Assist in building data pipelines using Azure services.
• Write and optimize SQL queries for analytics.
• Support CI/CD processes and cloud infrastructure tasks.
• Contribute to data governance and compliance efforts.
Required Experience:
• 2–3 years in data engineering or analytics using SQL.
• Exposure to Agile and DevOps practices.
Required Skills:
• Basic experience with Azure Data Factory or Azure Databricks.
• SQL, Python.
• PySpark
• Familiarity with CI/CD tools (e.g., Azure DevOps, GitHub).
• Data Warehousing Concepts
