Data Engineer (12+)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (12+) with expertise in Azure Data Factory, Databricks, Synapse Analytics, SQL, ETL/ELT, and data modeling. Contract length is unspecified, with a competitive pay rate. Remote work is allowed.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 25, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Jersey City, NJ
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🧠 - Skills detailed
#Azure Data Factory #Storage #Data Transformations #Data Engineering #Azure DevOps #Azure Synapse Analytics #Databricks #Data Warehouse #DevOps #Jenkins #Data Modeling #"ETL (Extract #Transform #Load)" #ADLS (Azure Data Lake Storage) #Azure #ADF (Azure Data Factory) #SQL (Structured Query Language) #Azure Databricks #Data Lake #Synapse #Scala #Snowflake #Big Data #Azure ADLS (Azure Data Lake Storage) #Spark (Apache Spark) #PySpark #GIT #Python
Role description
Mandatory Skills:
• Azure Data Factory (ADF) – pipeline creation and orchestration.
• Azure Databricks (PySpark, Python, Scala) – big data transformations.
• Azure Synapse Analytics – data warehouse modeling and performance optimization.
• Azure Data Lake Storage (ADLS) – storage management.
• SQL (T-SQL) – advanced queries, tuning, and optimization.
• ETL/ELT design and implementation.
• Data modeling (Star, Snowflake, Dimensional models).
• CI/CD & DevOps (Git, Azure DevOps, Jenkins).
Mandatory Skills:
• Azure Data Factory (ADF) – pipeline creation and orchestration.
• Azure Databricks (PySpark, Python, Scala) – big data transformations.
• Azure Synapse Analytics – data warehouse modeling and performance optimization.
• Azure Data Lake Storage (ADLS) – storage management.
• SQL (T-SQL) – advanced queries, tuning, and optimization.
• ETL/ELT design and implementation.
• Data modeling (Star, Snowflake, Dimensional models).
• CI/CD & DevOps (Git, Azure DevOps, Jenkins).
