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Azure Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer on a remote, 8+ month W2 contract. Key skills include OLTP architecture, Azure Cosmos DB, Azure SQL, Azure Data Factory, Azure Databricks, and Redis. U.S. work authorization required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
456
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🗓️ - Date
October 11, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Database Design #Big Data #Cloud #Data Engineering #Azure cloud #Azure Databricks #Azure #Data Integration #Azure Data Factory #Security #Databricks #Scala #Spark (Apache Spark) #ADF (Azure Data Factory) #Redis #Data Pipeline #SQL (Structured Query Language) #Azure SQL #"ETL (Extract #Transform #Load)" #Databases #Azure Cosmos DB
Role description
Job Title:Azure Data Engineer
Location: Remote
Duration: 8+ Months (W2 contract)
NOTE: Applicants must be legally authorized to work in the U.S. without employer sponsorship.
Mandatory Skills & Experience
OLTP Systems: Proven experience designing and supporting highly scalable OLTP architectures.
Azure Cloud Data Technologies:
Azure Cosmos DB: Expertise in modeling, scaling, and optimizing distributed databases.
Azure SQL: Strong knowledge of relational database design, performance tuning, and security in Azure SQL environments.
Azure Data Factory: Hands-on background with data integration workflows, data pipelines, and ETL/ELT processes.
Azure Databricks: Experience with big data analytics, Spark-based processing, and collaborative development on Databricks.
Redis: Familiarity with in-memory data structures and high-throughput caching solutions.
Job Title:Azure Data Engineer
Location: Remote
Duration: 8+ Months (W2 contract)
NOTE: Applicants must be legally authorized to work in the U.S. without employer sponsorship.
Mandatory Skills & Experience
OLTP Systems: Proven experience designing and supporting highly scalable OLTP architectures.
Azure Cloud Data Technologies:
Azure Cosmos DB: Expertise in modeling, scaling, and optimizing distributed databases.
Azure SQL: Strong knowledge of relational database design, performance tuning, and security in Azure SQL environments.
Azure Data Factory: Hands-on background with data integration workflows, data pipelines, and ETL/ELT processes.
Azure Databricks: Experience with big data analytics, Spark-based processing, and collaborative development on Databricks.
Redis: Familiarity with in-memory data structures and high-throughput caching solutions.
