Vertisystem
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer for a W2 contract lasting "X months" with a pay rate of "$X/hour." Key skills include Python, SQL, and ETL. Strong experience in data management and collaboration with IT teams is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
800
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🗓️ - Date
October 3, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Bellevue, WA
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🧠 - Skills detailed
#Data Processing #"ETL (Extract #Transform #Load)" #Python #Data Management #Scala #DMP (Data Management Platform) #Data Engineering #Data Architecture #SQL (Structured Query Language)
Role description
Only W2 contract.
Key Responsibilities:
• Oversee end-to-end delivery of data engineering projects, ensuring timely and successful execution.
• Translate business initiatives into actionable data engineering solutions.
• Architect, develop, deploy, test, and support scalable data management platforms.
• Align system designs with organizational objectives and industry best practices.
• Create, optimize, and automate enterprise-scale ETL pipelines for efficient data processing.
• Develop and refine advanced algorithms, predictive models, prototypes, and proofs of concept to support innovation and decision-making.
Skills required:
Must be fully knowledgeable in Python, SQL and ETL
• Ability to work as part of a team, as well as work independently or with minimal direction.
• Excellent written, presentation, and verbal communication skills.
• Collaborate with data architects, modelers and IT team members on project goals.
Strong Python/SQL experience
Only W2 contract.
Key Responsibilities:
• Oversee end-to-end delivery of data engineering projects, ensuring timely and successful execution.
• Translate business initiatives into actionable data engineering solutions.
• Architect, develop, deploy, test, and support scalable data management platforms.
• Align system designs with organizational objectives and industry best practices.
• Create, optimize, and automate enterprise-scale ETL pipelines for efficient data processing.
• Develop and refine advanced algorithms, predictive models, prototypes, and proofs of concept to support innovation and decision-making.
Skills required:
Must be fully knowledgeable in Python, SQL and ETL
• Ability to work as part of a team, as well as work independently or with minimal direction.
• Excellent written, presentation, and verbal communication skills.
• Collaborate with data architects, modelers and IT team members on project goals.
Strong Python/SQL experience
