Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 5-7 years of experience in data modeling, ETL pipeline implementation, and dashboard creation. Contract length is "unknown", pay rate is "unknown", and location is "unknown". Key skills include SQL, Python, and data visualization tools like Tableau or Power BI.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
600
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🗓️ - Date discovered
September 12, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#Tableau #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Visualization #BI (Business Intelligence) #Python #Data Modeling #Microsoft Power BI #Data Engineering
Role description
Summary:
We are seeking a highly skilled data engineer to join our team and provide data engineering support for the Enterprise Solutions organization. The successful candidate will have experience in data modeling design and implementation, ETL pipeline building, metrics design and creation, and dashboard/visualization building.
Key Responsibilities:
• Design and implement data models to meet business requirements
• Build and maintain ETL pipelines to extract, transform, and load data from various sources
• Create dashboards and visualizations to communicate insights and trends to stakeholders
• Analyze data to identify areas for improvement and optimize data processes
Requirements:
• 5-7 years of industry experience in data engineering, with a focus on data modeling, ETL pipeline implementation, and dashboard/visualization building
• Proficient in SQL and Python
• Strong understanding of data modeling concepts and data warehousing principles
• Experience with data visualization tools such as Tableau or Power BI
• Excellent analytical and problem-solving skills
Summary:
We are seeking a highly skilled data engineer to join our team and provide data engineering support for the Enterprise Solutions organization. The successful candidate will have experience in data modeling design and implementation, ETL pipeline building, metrics design and creation, and dashboard/visualization building.
Key Responsibilities:
• Design and implement data models to meet business requirements
• Build and maintain ETL pipelines to extract, transform, and load data from various sources
• Create dashboards and visualizations to communicate insights and trends to stakeholders
• Analyze data to identify areas for improvement and optimize data processes
Requirements:
• 5-7 years of industry experience in data engineering, with a focus on data modeling, ETL pipeline implementation, and dashboard/visualization building
• Proficient in SQL and Python
• Strong understanding of data modeling concepts and data warehousing principles
• Experience with data visualization tools such as Tableau or Power BI
• Excellent analytical and problem-solving skills
