

Azure ADF Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure ADF Data Engineer, remote (CST hours), with a contract length of "unknown" and a pay rate of "unknown." Requires 10+ years in Azure Data Factory, strong SQL skills, and knowledge of Azure services.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 30, 2025
π - Project duration
Unknown
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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
#Vault #SQL (Structured Query Language) #Azure Data Factory #Logic Apps #Cloud #ADF (Azure Data Factory) #Data Processing #Data Governance #Azure #Azure SQL Database #Storage #"ETL (Extract #Transform #Load)" #Documentation #Data Integration #Data Engineering #Data Modeling #Data Lake #Scala #Azure SQL #Data Pipeline #Synapse #Data Mapping #DevOps #GIT
Role description
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Role: Azure ADF Data Engineer
Location: Remote (CST Hours)
Why Join Us
β’ Work remotely with flexible hours.
β’ Opportunity to extend beyond the initial contract.
β’ Lead cutting-edge cloud data integration initiatives.
β’ Collaborate with a highly skilled and supportive data engineering team.
Role Overview: We are seeking a skilled and proactive Azure ADF Data Engineer . This senior-level role is fully remote and ideal for a Data Engineer passionate about scalable cloud data solutions within Azure environments.
Key Responsibilities
β’ Design and develop robust Data pipelines using Azure Data Factory (v2).
β’ Optimize and monitor data workflows for performance, scalability, and reliability.
β’ Troubleshoot bottlenecks and ensure high-quality data processing.
β’ Collaborate with architects and analysts to convert requirements into efficient data solutions.
β’ Integrate data from Azure SQL, Blob Storage, APIs, and on-prem systems.
β’ Utilize Azure services like Data Lake, Synapse Analytics, Key Vault, and Logic Apps.
β’ Document technical workflows, processes, and data mappings.
Required Qualifications
β’ 10+ years of hands-on experience with Azure Data Factory.
β’ Proven ability to tune and troubleshoot complex data pipelines.
β’ Strong SQL proficiency with Azure SQL Database and/or Synapse Analytics.
β’ Knowledge of data modeling, transformation, and integration practices.
β’ Familiar with Azure services such as Data Lake, Key Vault, and Azure Monitor.
β’ Excellent analytical and independent problem-solving skills.
β’ Strong communication and documentation abilities.
Preferred Qualifications
β’ Exposure to CI/CD, Git, and DevOps for data pipelines.
β’ Familiarity with data governance, cataloging, and lineage tools.
Ready to drive cloud data transformation? Apply now and be part of our innovation journey!