AI Azure Data Engineer _Remote Work
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Azure Data Engineer, requiring U.S. citizenship or permanent residency, with a contract length of 12 months+. Key skills include Azure Data Factory, Databricks, ETL/ELT pipelines, and experience in energy forecasting and anomaly detection.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 11, 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
#Automation #Batch #AI (Artificial Intelligence) #Azure Machine Learning #Compliance #"ETL (Extract #Transform #Load)" #Forecasting #Databricks #Scala #Data Science #ML (Machine Learning) #Azure #Azure Data Factory #Delta Lake #GitHub #ADF (Azure Data Factory) #Anomaly Detection #Synapse #Azure DevOps #Data Governance #Data Engineering #Data Quality #Data Lake #DevOps
Role description
Azure AI Data Engineer
Location: Remote work
Duration: 12 Months+
We’re hiring! This role requires U.S. citizenship or permanent residency (Green Card) due to project-specific compliance guidelines. If you meet these criteria and are excited to contribute to impactful work, we’d love to connect!
Key Responsibilities:
• Integrate AI/ML models (developed by data scientists) into production pipelines for energy forecasting, anomaly detection, and smart grid analytics.
• Design, develop, and optimize scalable ETL/ELT pipelines using Azure Data Factory, Databricks, and Synapse Analytics
• Build and manage data lakes and Delta Lake architectures for both batch and real-time processing
• Collaborate with AI/ML teams to ensure robust data availability for model training and inference
• Leverage Azure Machine Learning and Cognitive Services to enable intelligent data workflows
• Implement data governance, data quality checks, and lineage tracking using tools like Purview
• Optimize query performance and cost management within Azure environments
• Maintain CI/CD pipelines and automation using Azure DevOps or GitHub Actions
Azure AI Data Engineer
Location: Remote work
Duration: 12 Months+
We’re hiring! This role requires U.S. citizenship or permanent residency (Green Card) due to project-specific compliance guidelines. If you meet these criteria and are excited to contribute to impactful work, we’d love to connect!
Key Responsibilities:
• Integrate AI/ML models (developed by data scientists) into production pipelines for energy forecasting, anomaly detection, and smart grid analytics.
• Design, develop, and optimize scalable ETL/ELT pipelines using Azure Data Factory, Databricks, and Synapse Analytics
• Build and manage data lakes and Delta Lake architectures for both batch and real-time processing
• Collaborate with AI/ML teams to ensure robust data availability for model training and inference
• Leverage Azure Machine Learning and Cognitive Services to enable intelligent data workflows
• Implement data governance, data quality checks, and lineage tracking using tools like Purview
• Optimize query performance and cost management within Azure environments
• Maintain CI/CD pipelines and automation using Azure DevOps or GitHub Actions
