

Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (SQL/Python) with a 12+ month contract, paying $80–$85/hr. It requires advanced SQL and Python skills, data modeling experience, and the ability to create visualizations. Remote work is available for US-based candidates only.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
680
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🗓️ - Date discovered
August 7, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Remote
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Monitoring #Automation #"ETL (Extract #Transform #Load)" #Datasets #Data Processing #Python #Scala #Data Modeling #SQL (Structured Query Language) #Visualization #Data Pipeline #Data Engineering
Role description
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Job Title: Data Engineer (SQL/Python)
Location: Remote – US-based candidates only
Contract Duration: 12+ Months (Possibility of extension)
Pay Rate: $80–$85/hr on W2
About the Role:
• We are looking for an experienced Data Engineer to join a high-performing internal team supporting enterprise operations. This role goes beyond routine tasks — we want someone who can think critically, analyze large datasets, identify patterns, and make recommendations to improve processes and data pipelines. If you’re passionate about using data to drive meaningful insights and change, this is the opportunity for you.
Key Responsibilities:
• Build and maintain scalable data pipelines using SQL and Python
• Design robust data models and transformation logic
• Create impactful dashboards and visualizations to support internal decision-making
• Dive deep into datasets to uncover trends, inefficiencies, and improvement opportunities
• Collaborate across teams to deliver high-quality data solutions and automation workflows
• Contribute to internal tooling, reporting frameworks, and process optimization
Must-Have Skills:
• Advanced proficiency in SQL and Python
• Hands-on experience with data modeling and data processing frameworks
• Ability to design and build intuitive visualizations and dashboards
• Strong analytical mindset with the ability to identify patterns and drive improvements
• Effective communicator and collaborator in cross-functional environments
Nice-to-Have:
• Experience working with internal data tools or supporting large-scale internal operations
• Background in fast-paced, data-driven environments
• Familiarity with performance monitoring and optimization of data pipelines
Ready to apply?
Submit your resume or reach out with questions – interviews are happening quickly!