Crossing Hurdles
Data Engineer | Remote
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on an hourly contract, offering $30-$100/hour for 10-40 hours/week. Key skills include expert Python proficiency, ETL pipeline experience, and strong data modeling knowledge, with a focus on remote work capability.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
800
-
🗓️ - Date
May 25, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United Kingdom
-
🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Data Modeling #Quality Assurance #Scala #Debugging #Python #Data Engineering
Role description
Position: Data Engineer
Type: Hourly contract
Compensation: $30 $100/hour
Location: Remote
Commitment: 10 40 hours/week
Role Responsibilities
• Design, develop, and maintain scalable ETL pipelines and data workflows.
• Collaborate with cross-functional teams to analyze and implement data solutions.
• Optimize workflows for performance, reliability, and scalability.
• Monitor, troubleshoot, and resolve production pipeline issues.
• Write clean, maintainable, and well-documented Python code.
• Implement data validation and quality assurance mechanisms.
• Communicate technical concepts clearly to technical and non-technical stakeholders.
Requirements
• Expert-level proficiency in Python.
• Strong experience building and maintaining ETL pipelines.
• Solid understanding of data modeling and data warehousing concepts.
• Excellent written and verbal communication skills.
• Strong analytical and problem-solving abilities.
• Experience debugging and optimizing large-scale data systems.
• Ability to work independently in a remote environment.
Application Process (Takes 20 Min)
• Easy Apply on LinkedIn
• Check email for next steps
• Participate in resume evaluation & interview stage
Position: Data Engineer
Type: Hourly contract
Compensation: $30 $100/hour
Location: Remote
Commitment: 10 40 hours/week
Role Responsibilities
• Design, develop, and maintain scalable ETL pipelines and data workflows.
• Collaborate with cross-functional teams to analyze and implement data solutions.
• Optimize workflows for performance, reliability, and scalability.
• Monitor, troubleshoot, and resolve production pipeline issues.
• Write clean, maintainable, and well-documented Python code.
• Implement data validation and quality assurance mechanisms.
• Communicate technical concepts clearly to technical and non-technical stakeholders.
Requirements
• Expert-level proficiency in Python.
• Strong experience building and maintaining ETL pipelines.
• Solid understanding of data modeling and data warehousing concepts.
• Excellent written and verbal communication skills.
• Strong analytical and problem-solving abilities.
• Experience debugging and optimizing large-scale data systems.
• Ability to work independently in a remote environment.
Application Process (Takes 20 Min)
• Easy Apply on LinkedIn
• Check email for next steps
• Participate in resume evaluation & interview stage
