CBTS
Data Engineer(no Third Party, Only W2)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 4+ years of experience in data engineering, specializing in Azure cloud services, SQL, Python, and PySpark. Contract length is unspecified; pay rate is "TBD." Remote work is allowed. Azure certification preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
April 2, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Irving, TX
-
🧠 - Skills detailed
#Data Lake #Data Modeling #Cloud #Agile #ML (Machine Learning) #"ETL (Extract #Transform #Load)" #Data Engineering #Data Ingestion #Data Pipeline #Microsoft Power BI #Azure #Python #SQL (Structured Query Language) #Spark (Apache Spark) #PySpark #Dataiku #Databricks #SQL Queries #BI (Business Intelligence)
Role description
Job Description:
MUST HAVE
• 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, Databricks, 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 modeling processes.
• Proven ability to solve complex data problems, collaborate effectively with cross-functional teams, and deliver high-quality solutions.
ADDITIONAL SKILLS AND OTHER REQUIREMENTS
Nice to have skill set include:
• Agile experience
• Dataiku
• Power BI
Job Description:
MUST HAVE
• 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, Databricks, 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 modeling processes.
• Proven ability to solve complex data problems, collaborate effectively with cross-functional teams, and deliver high-quality solutions.
ADDITIONAL SKILLS AND OTHER REQUIREMENTS
Nice to have skill set include:
• Agile experience
• Dataiku
• Power BI
