Sr. Azure Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Azure Data Engineer in Dallas, TX, with a long-term contract. Requires 12+ years in data engineering, 4+ years in Azure cloud services, strong SQL, Python, and PySpark skills, and experience with data pipelines and multi-cloud integration.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 24, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#SQL (Structured Query Language) #Data Lake #Data Engineering #Data Pipeline #"ETL (Extract #Transform #Load)" #Azure #PySpark #Python #ML (Machine Learning) #Data Ingestion #Cloud #Data Bricks #Spark (Apache Spark) #SQL Queries
Role description
Data Engineer
Dallas, TX
Long Term
Required Skills:·
12+ Years of Data Engineer.
4+ years of hands-on experience in data engineering, including data lake infrastructure, data warehousing, and data analytics tools.
Cloud data engineering experience on azure. Deep understanding of azure services like data factory, data bricks, and machine learning. Azure certification is a plus.
Strong proficiency in SQL, python and pyspark.
Proven ability to optimize SQL queries and performance tune data pipelines.
Experience in building and operating highly available, distributed data pipelines for large-scale data ingestion,
processing, and extraction.
Experience integrating multi-cloud services with on-premises technologies. Strong understanding of data modelling processes.·
Proven ability to solve complex data problems, collaborate effectively with cross-functional teams, and deliver high-quality solutions.
Data Engineer
Dallas, TX
Long Term
Required Skills:·
12+ Years of Data Engineer.
4+ years of hands-on experience in data engineering, including data lake infrastructure, data warehousing, and data analytics tools.
Cloud data engineering experience on azure. Deep understanding of azure services like data factory, data bricks, and machine learning. Azure certification is a plus.
Strong proficiency in SQL, python and pyspark.
Proven ability to optimize SQL queries and performance tune data pipelines.
Experience in building and operating highly available, distributed data pipelines for large-scale data ingestion,
processing, and extraction.
Experience integrating multi-cloud services with on-premises technologies. Strong understanding of data modelling processes.·
Proven ability to solve complex data problems, collaborate effectively with cross-functional teams, and deliver high-quality solutions.
