Seneca Resources
Azure Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer with a contract length of "unknown" and a pay rate of "$/hour." Requires 5+ years in Azure Data Engineering, strong skills in Azure Data Factory, Databricks, PySpark, Python, SQL, and ETL/ELT pipelines.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
May 28, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
New York City Metropolitan Area
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🧠 - Skills detailed
#Metadata #Data Governance #Azure Security #Azure Synapse Analytics #Data Engineering #C# #Azure Machine Learning #PySpark #Python #BI (Business Intelligence) #Data Management #Synapse #Azure Databricks #SQL (Structured Query Language) #ML (Machine Learning) #Microsoft Power BI #ADF (Azure Data Factory) #Azure cloud #Data Architecture #"ETL (Extract #Transform #Load)" #Azure Cosmos DB #Databricks #Security #Spark (Apache Spark) #Azure Data Factory #GCP (Google Cloud Platform) #Data Security #.Net #Cloud #BigQuery #Azure #Data Lake #Data Catalog
Role description
Required Qualifications
• 5+ years of experience in Azure Data Engineering or cloud-based enterprise data platforms
• Strong hands-on experience with:
• Azure Data Factory
• Azure Databricks
• Data Lake technologies
• PySpark
• Python
• SQL
• Power BI
• Strong SQL development and query optimization skills
• Experience designing and maintaining ETL/ELT pipelines in Azure environments
• Strong understanding of:
• Cloud data architecture
• Data governance
• Data security
• Enterprise analytics platforms
• Experience implementing secure Azure data solutions and governance frameworks
• Strong problem-solving, analytical, and communication skills
• Ability to collaborate effectively across technical and business teams
Technical Skills
Must Have
• Azure Cloud Data Engineering
• Azure Databricks
• Azure Data Factory
• PySpark
• Python
• SQL Development
• Power BI Reporting
• ETL / ELT Development
• Azure Data Lake
• Cloud Data Architecture
• Data Governance
• Azure Security Concepts
Nice to Have
• Azure Synapse Analytics
• Azure Cosmos DB
• Azure Machine Learning
• .NET / C#
• Google Cloud Platform / BigQuery
• Stored Procedures & Advanced SQL Development
• Serverless Architecture Experience
• Metadata Management & Data Cataloging
Required Qualifications
• 5+ years of experience in Azure Data Engineering or cloud-based enterprise data platforms
• Strong hands-on experience with:
• Azure Data Factory
• Azure Databricks
• Data Lake technologies
• PySpark
• Python
• SQL
• Power BI
• Strong SQL development and query optimization skills
• Experience designing and maintaining ETL/ELT pipelines in Azure environments
• Strong understanding of:
• Cloud data architecture
• Data governance
• Data security
• Enterprise analytics platforms
• Experience implementing secure Azure data solutions and governance frameworks
• Strong problem-solving, analytical, and communication skills
• Ability to collaborate effectively across technical and business teams
Technical Skills
Must Have
• Azure Cloud Data Engineering
• Azure Databricks
• Azure Data Factory
• PySpark
• Python
• SQL Development
• Power BI Reporting
• ETL / ELT Development
• Azure Data Lake
• Cloud Data Architecture
• Data Governance
• Azure Security Concepts
Nice to Have
• Azure Synapse Analytics
• Azure Cosmos DB
• Azure Machine Learning
• .NET / C#
• Google Cloud Platform / BigQuery
• Stored Procedures & Advanced SQL Development
• Serverless Architecture Experience
• Metadata Management & Data Cataloging
