Crossing Hurdles

Data Warehouse Engineer | Remote

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Warehouse Engineer contract position, offering $30 - $100/hour for 10-40 hrs/week. Key skills include MySQL, Python, ETL pipeline development, and data warehousing expertise. Remote work location; excellent communication skills required.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
800
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πŸ—“οΈ - Date
August 9, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Security #Automation #Scala #Python #Data Warehouse #Schema Design #"ETL (Extract #Transform #Load)" #Programming #Documentation #Physical Data Model #Data Ingestion #Data Accuracy #MySQL #Data Manipulation
Role description
Position: Data Warehouse Engineer Type: Contract Compensation: $30 - $100/hour Location: Remote Commitment: 10-40 hrs/week Role Responsibilities β€’ Design, build, and maintain scalable ETL pipelines to support data ingestion, transformation, and integration from multiple sources. β€’ Develop and optimize logical and physical data models within modern data warehousing environments. β€’ Collaborate closely with cross-functional teams to understand data requirements and deliver reliable data solutions. β€’ Monitor, troubleshoot, and enhance data infrastructure for optimal performance and scalability. β€’ Ensure data accuracy, consistency, and security across all platforms and solutions. β€’ Document technical processes, system designs, and data flows with clarity and precision. Requirements β€’ Have expert-level proficiency in MySQL for complex querying, schema design, and performance tuning. β€’ Possess strong programming skills in Python for data manipulation and automation. β€’ Have hands-on experience building and maintaining ETL pipelines in production environments. β€’ Demonstrate expertise with data warehousing concepts and best practices. β€’ Have excellent written and verbal communication skills, focusing on clear documentation and collaborative problem-solving. Application Process β€’ Easy Apply on LinkedIn β€’ Check email for next steps β€’ Participate in resume evaluation & interview stage