Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer V, remote (EST preferred), with a 6-month contract (potential extension). Requires 10+ years of experience in data engineering, expertise in data pipelines, AI integration, SQL, and industry experience in tech, pharmaceutical, or media.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
960
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🗓️ - Date discovered
September 4, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Integration #Computer Science #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #Scala #API (Application Programming Interface) #Data Architecture #SQL (Structured Query Language) #Data Engineering #Data Pipeline #Datasets
Role description
Job Title: Data Engineer V
Location: Remote (EST preferred)
Contract Duration: 6 months (with potential extension)
We are seeking a highly experienced Data Engineer (10+ years) to support data integration and pipeline development for AI-driven products. The ideal candidate has a proven track record of building scalable data solutions in fast-paced environments and can collaborate effectively across technical teams.
Required Qualifications
Bachelor’s degree in Computer Science, Engineering, or related field.
10+ years of data engineering experience.
Strong expertise in:
Building large-scale data pipelines
Data integration for AI models
API data integrations
SQL and working with large datasets
Experience in the tech, pharmaceutical, or media industries.
Excellent communication and collaboration skills.
Key Responsibilities
Lead data engineering projects through the full lifecycle.
Translate business needs into scalable data solutions.
Design, build, test, and maintain robust data pipelines and management systems.
Implement and automate large-scale enterprise ETL processes.
Develop high-performance algorithms, prototypes, predictive models, and proofs of concept.
Partner with data architects, modelers, and IT teams to align on goals.
Job Title: Data Engineer V
Location: Remote (EST preferred)
Contract Duration: 6 months (with potential extension)
We are seeking a highly experienced Data Engineer (10+ years) to support data integration and pipeline development for AI-driven products. The ideal candidate has a proven track record of building scalable data solutions in fast-paced environments and can collaborate effectively across technical teams.
Required Qualifications
Bachelor’s degree in Computer Science, Engineering, or related field.
10+ years of data engineering experience.
Strong expertise in:
Building large-scale data pipelines
Data integration for AI models
API data integrations
SQL and working with large datasets
Experience in the tech, pharmaceutical, or media industries.
Excellent communication and collaboration skills.
Key Responsibilities
Lead data engineering projects through the full lifecycle.
Translate business needs into scalable data solutions.
Design, build, test, and maintain robust data pipelines and management systems.
Implement and automate large-scale enterprise ETL processes.
Develop high-performance algorithms, prototypes, predictive models, and proofs of concept.
Partner with data architects, modelers, and IT teams to align on goals.
