Crossing Hurdles

Data Warehouse Engineer | Remote

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Warehouse Engineer contract position, remote, offering $30 - $100/hour for 10-40 hrs/week. Key skills required include MySQL, Python, ETL pipeline experience, and data warehousing expertise. Strong communication skills are essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
800
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🗓️ - Date
May 22, 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
#Schema Design #"ETL (Extract #Transform #Load)" #Documentation #Programming #MySQL #Data Ingestion #Automation #Data Accuracy #Data Manipulation #Physical Data Model #Data Warehouse #Security #Python #Scala
Role description
Position: Data Warehouse Engineer Type: Contract Compensation: $30 - $100/hour Location: Remote Commitment: 10-40 hrs/week Role Responsibilities • Design, build, and maintain scalable ETL pipelines to support data ingestion, transformation, and integration from multiple sources. • Develop and optimize logical and physical data models within modern data warehousing environments. • Collaborate closely with cross-functional teams to understand data requirements and deliver reliable data solutions. • Monitor, troubleshoot, and enhance data infrastructure for optimal performance and scalability. • Ensure data accuracy, consistency, and security across all platforms and solutions. • Document technical processes, system designs, and data flows with clarity and precision. Requirements • Have expert-level proficiency in MySQL for complex querying, schema design, and performance tuning. • Possess strong programming skills in Python for data manipulation and automation. • Have hands-on experience building and maintaining ETL pipelines in production environments. • Demonstrate expertise with data warehousing concepts and best practices. • Have excellent written and verbal communication skills, focusing on clear documentation and collaborative problem-solving. Application Process • Easy Apply on LinkedIn • Check email for next steps • Participate in resume evaluation & interview stage