Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Birmingham, AL, offering $75-100 hourly for a 3-6 month contract. Key skills include database design, AWS, MongoDB, and AI applications in logistics. A Bachelor's degree in a relevant field is required.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
800
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πŸ—“οΈ - Date discovered
September 4, 2025
πŸ•’ - Project duration
3 to 6 months
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🏝️ - Location type
On-site
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πŸ“„ - Contract type
1099 Contractor
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Birmingham, AL
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🧠 - Skills detailed
#Visualization #Data Management #BI (Business Intelligence) #MongoDB #Cloud #Computer Science #AI (Artificial Intelligence) #MQTT (Message Queuing Telemetry Transport) #Data Modeling #JavaScript #C# #iOS #AWS (Amazon Web Services) #Data Engineering #Terraform #TypeScript #Database Design
Role description
IN-OFFICE | CONTRACT Data Engineer Location: Birmingham, AL (In-office with occasional field visits) Compensation: $75-100 hourly depending on experience, 3-6 month contract A rapidly growing company specializing in mobile fleet fueling solutions is seeking a Data Engineer to lead the first phases of AI integration into their daily operations. This is an in-office role that includes occasional field work at their Birmingham yard. Our client is seeking candidates with a strong business mind that can lead the integration of AI-powered solutions into workflow to enhance logistics and operational efficiency. Responsibilities: β€’ Building a new database dedicated to AI and business intelligence. β€’ Designing a dashboard that can connect licensed AI tools to data. β€’ Produce insightful and meaningful results by understanding business and daily operations of the organization. Requirements: β€’ Bachelor’s degree in Computer Science, Data Engineering, or related field (or equivalent experience) β€’ Proven experience with database design and data modeling β€’ Familiarity with AWS Cloud services, MongoDB and real-time data management β€’ Familiarity with visualization/dashboard tools β€’ Exposure to practical applications of AI in fleet management, logistics, and finance β€’ A strong systems mindset with the ability to manage both software and hardware in tandem β€’ Strong attention to detail, organization, and follow-through Preferred Experience but not Required: β€’ Familiarity with APIs β€’ Proficiency in C#, Terraform, JavaScript, and TypeScript β€’ Experience with Raspberry Pi, MQTT, and cellular modems β€’ Comfortable working with Swift/iOS environments