Talent Groups
Azure Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer in Dallas, TX, on a contract basis. Requires a bachelor's degree, 3-5 years of experience in data engineering, SQL, and Microsoft Azure, along with skills in Python, DevOps, and BI tools.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 15, 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
Dallas, TX
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🧠 - Skills detailed
#Data Lake #SQL Server #ADF (Azure Data Factory) #Azure cloud #Grafana #Alteryx #DevOps #Azure Blob Storage #SQL (Structured Query Language) #Azure Databricks #Data Governance #GitHub #Microsoft Azure #Oracle #Databricks #Data Engineering #Azure Data Factory #Spark (Apache Spark) #Microsoft Power BI #Jenkins #Informatica #Storage #Azure DevOps #Teradata #Scripting #Snowflake #Terraform #MongoDB #Agile #Cloud #Unix #Computer Science #Azure #Axon #Python #ADLS (Azure Data Lake Storage) #Tableau #BI (Business Intelligence)
Role description
Role: Azure Data Engineer
Location: Dallas, TX
Duration: Contract
Job Description:
Minimum Qualifications- Education & Prior Job Experience
• Bachelor’s degree in computer science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
• 3-5 years software solution development using agile, DevOps, operating in a product model that includes designing, developing, and implementing large-scale applications or data engineering solutions
• 3-5 years data analytics experience using SQL
• 3-5 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI.
Combination of Development, Administration & Support experience in several of the following tools/platforms required:
• Scripting: Python, Spark, Unix, SQL
• Data Platforms: Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake, Azure Data Explorer. Administration skills a plus
• Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions
• CI/CD: GitHub, Jenkins, Azure DevOps, Terraform
• BI Analytics Tool Stack - Cognos, Tableau, Power BI, Alteryx, Denodo, and Grafana
• Clear understanding on Data Warehousing concept
• Data Governance and Privacy: Informatica Axon and EDC, BigID
• Orchestration: Azure Data Factory, Tivoli
Role: Azure Data Engineer
Location: Dallas, TX
Duration: Contract
Job Description:
Minimum Qualifications- Education & Prior Job Experience
• Bachelor’s degree in computer science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
• 3-5 years software solution development using agile, DevOps, operating in a product model that includes designing, developing, and implementing large-scale applications or data engineering solutions
• 3-5 years data analytics experience using SQL
• 3-5 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI.
Combination of Development, Administration & Support experience in several of the following tools/platforms required:
• Scripting: Python, Spark, Unix, SQL
• Data Platforms: Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake, Azure Data Explorer. Administration skills a plus
• Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions
• CI/CD: GitHub, Jenkins, Azure DevOps, Terraform
• BI Analytics Tool Stack - Cognos, Tableau, Power BI, Alteryx, Denodo, and Grafana
• Clear understanding on Data Warehousing concept
• Data Governance and Privacy: Informatica Axon and EDC, BigID
• Orchestration: Azure Data Factory, Tivoli
