DATA Engineer with Python
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with Python for a long-term contract in Plano or Dallas, TX, offering a hybrid work model. Key skills include ETL, SQL, Python, and data modeling; industry experience in telecom is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 28, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Atlanta Metropolitan Area
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🧠 - Skills detailed
#Data Science #Data Quality #Scala #Data Modeling #BI (Business Intelligence) #SQL (Structured Query Language) #Java #Data Engineering #Data Pipeline #Databases #Data Management #"ETL (Extract #Transform #Load)" #Security #Python
Role description
Data Engineer with Python
Duration: Long Term
Client :Telecom
Location: Plano or Dallas, TX (2 days a week Hybrid Onsite)
Mandate in person Interview
A Data Engineer is responsible for designing, building, and maintaining systems that allow organizations to collect, store, and analyze data efficiently. They create robust data pipelines and infrastructure to support analytics and business intelligence.
Key Responsibilities
• Build infrastructure for extraction, transformation, and loading (ETL) of data
• Collaborate with data scientists, analysts, and stakeholders to support data needs
• Ensure data quality, reliability, and security
• Integrate new data management technologies and tools
Required Skills
• Proficiency in ETL SQL, Python, Java, or Scala
• Strong understanding of data modeling and warehousing
• Knowledge of relational and non-relational databases
• Ability to troubleshoot and optimize data systems
Data Engineer with Python
Duration: Long Term
Client :Telecom
Location: Plano or Dallas, TX (2 days a week Hybrid Onsite)
Mandate in person Interview
A Data Engineer is responsible for designing, building, and maintaining systems that allow organizations to collect, store, and analyze data efficiently. They create robust data pipelines and infrastructure to support analytics and business intelligence.
Key Responsibilities
• Build infrastructure for extraction, transformation, and loading (ETL) of data
• Collaborate with data scientists, analysts, and stakeholders to support data needs
• Ensure data quality, reliability, and security
• Integrate new data management technologies and tools
Required Skills
• Proficiency in ETL SQL, Python, Java, or Scala
• Strong understanding of data modeling and warehousing
• Knowledge of relational and non-relational databases
• Ability to troubleshoot and optimize data systems
