Cloud/AI Engineer(Data Engineering)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Cloud/AI Engineer (Data Engineering) with a contract length of "unknown", offering a pay rate of "unknown". Requires 3-8 years of cloud-native development and data engineering experience, proficiency in AWS services, and familiarity with AI/ML pipelines.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 24, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#Data Engineering #Data Strategy #AI (Artificial Intelligence) #Kubernetes #Lambda (AWS Lambda) #Redshift #Strategy #ML (Machine Learning) #AWS (Amazon Web Services) #Cloud #Data Lineage #S3 (Amazon Simple Storage Service)
Role description
Responsibilities:
• Unified cloud/data strategy: centralize into functional models (real-time, analytical, operational), modernize platforms, enable AI/ML.
Mandatory Requirements
• 3–8 years of experience in cloud-native development and data engineering
• Hands-on expertise with AWS services, including EMR, Glue, Redshift, S3, Lambda, and Kubernetes
• Strong understanding of data engineering best practices and pipeline development
• Experience bridging data engineering with AI/ML enablement, including familiarity with MLOps, AI pipelines, or data lineage tools
Nice to Have
• Direct experience implementing AI/ML pipelines or MLOps workflows
• Knowledge of advanced AI/ML frameworks and cloud AI services
Responsibilities:
• Unified cloud/data strategy: centralize into functional models (real-time, analytical, operational), modernize platforms, enable AI/ML.
Mandatory Requirements
• 3–8 years of experience in cloud-native development and data engineering
• Hands-on expertise with AWS services, including EMR, Glue, Redshift, S3, Lambda, and Kubernetes
• Strong understanding of data engineering best practices and pipeline development
• Experience bridging data engineering with AI/ML enablement, including familiarity with MLOps, AI pipelines, or data lineage tools
Nice to Have
• Direct experience implementing AI/ML pipelines or MLOps workflows
• Knowledge of advanced AI/ML frameworks and cloud AI services
