Platinum Enterprise Solutions, Inc.
Urgent Requirement_ Azure Data Engineer (Full Stack) @New York ,NY/ Hybrid
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer (Full Stack) in New York, NY, hybrid, with a contract length of "unknown" and a pay rate of "unknown." Requires 10+ years in data engineering, strong SQL, C#, .NET, Azure experience, and financial services background.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 5, 2026
🕒 - 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
New York, United States
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🧠 - Skills detailed
#DevOps #ADF (Azure Data Factory) #Cloud #Data Pipeline #Java #Azure #Spark (Apache Spark) #Data Modeling #.Net #SQL (Structured Query Language) #Microsoft Azure #Data Architecture #Kafka (Apache Kafka) #C# #Data Engineering #"ETL (Extract #Transform #Load)" #API (Application Programming Interface)
Role description
Requirements:
· 10+ years of experience in software or data engineering roles.
· Strong SQL skills including data modeling and performance tuning.
· Hands-on experience with C# and .NET development.
· Experience working within Microsoft Azure environments (ADF, Functions).
· Experience building APIs and service-based architectures.
· Strong understanding of ETL/ELT patterns and data pipeline design.
· Experience working with large-scale or distributed data systems.
Preferred Qualifications:
· Experience with modern cloud-native data architectures.
· Hands-on experience with Apache tools (Kafka, Spark, Flink) and Java-based frameworks.
· Experience with event-driven architectures (e.g., Event Hubs).
· Familiarity with Azure App Configuration.
· Experience working with Azure API Management (APIM).
· Experience with CI/CD pipelines and DevOps practices.
· Experience in financial services or investment management environments.
Requirements:
· 10+ years of experience in software or data engineering roles.
· Strong SQL skills including data modeling and performance tuning.
· Hands-on experience with C# and .NET development.
· Experience working within Microsoft Azure environments (ADF, Functions).
· Experience building APIs and service-based architectures.
· Strong understanding of ETL/ELT patterns and data pipeline design.
· Experience working with large-scale or distributed data systems.
Preferred Qualifications:
· Experience with modern cloud-native data architectures.
· Hands-on experience with Apache tools (Kafka, Spark, Flink) and Java-based frameworks.
· Experience with event-driven architectures (e.g., Event Hubs).
· Familiarity with Azure App Configuration.
· Experience working with Azure API Management (APIM).
· Experience with CI/CD pipelines and DevOps practices.
· Experience in financial services or investment management environments.
