Tekskills Inc.
Azure Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer in Weehawken, NJ, lasting 12+ months, with a pay rate of "TBD." Key skills include SQL, Python, Azure Data Factory, and experience in big data and data modeling is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 5, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Weehawken, NJ
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🧠 - Skills detailed
#Azure Cosmos DB #Databases #Data Pipeline #PySpark #Scala #Data Modeling #Azure DevOps #Databricks #Data Engineering #"ETL (Extract #Transform #Load)" #Azure Synapse Analytics #ADF (Azure Data Factory) #Data Warehouse #Azure Databricks #Microsoft Azure #Python #Apache Spark #Data Science #Synapse #Azure #Cloud #Hadoop #Big Data #SQL (Structured Query Language) #Scripting #Azure Data Factory #Spark (Apache Spark) #DevOps #Data Lake
Role description
Job Title: Azure Data Engineer
Location: Weehawken, NJ 07086 -Hybrid
Duration: 12+ months
Interview : Face to Face Required
Detailed Job Description:
As Azure Data Engineer you will be responsible for building and managing data pipelines on Microsoft Azure, integrating, transforming, and loading data for analytics using services like Azure Data Factory, Databricks, and Synapse, requiring strong SQL, Python, and cloud skills for creating reliable, scalable data solutions for analysts and scientists. The field is shifting towards Microsoft Fabric, a unified data platform, and demands expertise in big data, data modeling, and cloud architecture.
Core Responsibilities
• Build Data Pipelines: Design, develop, and maintain ETL/ELT processes to move and transform data.
• Data Transformation: Cleanse, map, and optimize data for analysis.
• Manage Data Stores: Work with data lakes, data warehouses (like Synapse), and databases.
• Automate Tasks: Deploy production code and automate data workflows.
• Collaborate: Support data scientists, analysts, and developers.
Key Skills & Technologies
• Languages: SQL (essential for querying), Python (for scripting, PySpark).
• Azure Services: Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, Azure Cosmos DB, Azure DevOps.
• Big Data: Apache Spark, DataBricks, Hadoop (foundational knowledge).
• Concepts: Data Warehousing, Data Modeling, ETL, CI/CD.
Job Title: Azure Data Engineer
Location: Weehawken, NJ 07086 -Hybrid
Duration: 12+ months
Interview : Face to Face Required
Detailed Job Description:
As Azure Data Engineer you will be responsible for building and managing data pipelines on Microsoft Azure, integrating, transforming, and loading data for analytics using services like Azure Data Factory, Databricks, and Synapse, requiring strong SQL, Python, and cloud skills for creating reliable, scalable data solutions for analysts and scientists. The field is shifting towards Microsoft Fabric, a unified data platform, and demands expertise in big data, data modeling, and cloud architecture.
Core Responsibilities
• Build Data Pipelines: Design, develop, and maintain ETL/ELT processes to move and transform data.
• Data Transformation: Cleanse, map, and optimize data for analysis.
• Manage Data Stores: Work with data lakes, data warehouses (like Synapse), and databases.
• Automate Tasks: Deploy production code and automate data workflows.
• Collaborate: Support data scientists, analysts, and developers.
Key Skills & Technologies
• Languages: SQL (essential for querying), Python (for scripting, PySpark).
• Azure Services: Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, Azure Cosmos DB, Azure DevOps.
• Big Data: Apache Spark, DataBricks, Hadoop (foundational knowledge).
• Concepts: Data Warehousing, Data Modeling, ETL, CI/CD.
