Crossing Hurdles

Data Engineer | $90/hr Remote

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer contract position, offering $90/hr for 10-40 hrs/week, fully remote. Key skills required include expert Python proficiency, extensive ETL pipeline experience, and strong analytical abilities. Exceptional communication and problem-solving skills are essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
720
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🗓️ - Date
July 25, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Integrity #Debugging #Data Pipeline #Data Engineering #Programming #Scala #Python #Data Integration #"ETL (Extract #Transform #Load)" #Data Quality
Role description
Position: Data Engineer Type: Contract Compensation: $30 - $90/hour Location: Remote Commitment: 10-40 hrs/week Role Responsibilities • Design, develop, and maintain scalable ETL processes to ensure smooth data integration and transformation. • Collaborate closely with cross-functional teams to analyze data needs and implement tailored solutions. • Optimize existing workflows for performance, reliability, and scalability. • Monitor, troubleshoot, and resolve issues in production data pipelines to uphold data integrity. • Write clean, well-documented Python code adhering to industry standards and best practices. • Champion data quality and implement validation mechanisms throughout data processes. Requirements • Have expert-level proficiency in Python programming. • Have extensive hands-on experience building and maintaining ETL pipelines and data workflows. • Have a proven ability to work independently in a fully remote environment. • Possess exceptional written and verbal communication skills, with a strong focus on clarity and collaboration. • Have a strong analytical and problem-solving mindset with acute attention to detail. • Demonstrate expertise in debugging and optimizing large-scale data systems. Application Process • Easy Apply on LinkedIn • Check email for next steps • Participate in resume evaluation & interview stage