

AI Azure Data Engineer _Remote Work
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Azure Data Engineer with a 12-month contract, remote work. Requires U.S. citizenship or Green Card. Key skills include Azure Data Factory, Databricks, ETL/ELT pipelines, and collaboration with AI/ML teams for data governance and optimization.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
August 1, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Remote
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
United States
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π§ - Skills detailed
#ML (Machine Learning) #Data Lake #Azure Machine Learning #AI (Artificial Intelligence) #DevOps #ADF (Azure Data Factory) #Automation #Data Governance #Forecasting #Synapse #Compliance #Data Science #Data Quality #Batch #Data Engineering #Anomaly Detection #Databricks #Scala #Azure #Azure Data Factory #GitHub #"ETL (Extract #Transform #Load)" #Azure DevOps #Delta Lake
Role description
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Azure AI Data Engineer
Location: Remote work
Duration: 12 Months+
Weβre 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, weβd love to connect!
Key Responsibilities:
β’ Integrate AI/ML models (developed by data scientists) into production pipelines for energy forecasting, anomaly detection, and smart grid analytics.
β’ Design, develop, and optimize scalable ETL/ELT pipelines using Azure Data Factory, Databricks, and Synapse Analytics
β’ Build and manage data lakes and Delta Lake architectures for both batch and real-time processing
β’ Collaborate with AI/ML teams to ensure robust data availability for model training and inference
β’ Leverage Azure Machine Learning and Cognitive Services to enable intelligent data workflows
β’ Implement data governance, data quality checks, and lineage tracking using tools like Purview
β’ Optimize query performance and cost management within Azure environments
β’ Maintain CI/CD pipelines and automation using Azure DevOps or GitHub Actions