InterEx Group

Azure Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer in Atlanta, GA, with a 6-month contract at "$XX/hour". Requires 5+ years of Azure Data Engineering experience, proficiency in SQL, Python or Scala, and familiarity with data modeling and ETL processes.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
March 17, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Atlanta, GA
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🧠 - Skills detailed
#Scala #Computer Science #Data Modeling #SQL (Structured Query Language) #Cloud #Azure Databricks #"ETL (Extract #Transform #Load)" #Microsoft Azure #Data Accuracy #Azure Data Factory #Data Lake #Azure SQL Database #Azure #Security #Compliance #Data Quality #Data Pipeline #Hadoop #Data Governance #Azure cloud #ADF (Azure Data Factory) #Data Processing #Scripting #Spark (Apache Spark) #Azure SQL #Big Data #Python #Data Engineering #Databricks
Role description
Microsoft Azure Data Engineer - Atlanta, GA Key Responsibilities: β€’ Design and implement highly scalable, high-volume data pipelines and warehouses using Azure Data Factory, Azure Databricks, and other Azure services. β€’ Develop and maintain data models, structures, and procedures to ensure data accuracy and accessibility. β€’ Work closely with stakeholders to understand their data processing needs and build systems that provide meaningful insights. β€’ Optimize data flows and architecture to improve system performance and data quality. β€’ Ensure compliance with data governance and security policies. β€’ Provide technical guidance and training to team members and stakeholders on Azure data services and best practices. The ideal candidate will have: β€’ Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field. β€’ 5+ years of experience as a Data Engineer with a focus on Microsoft Azure cloud services. β€’ Strong understanding of Azure data services (Azure SQL Database, Azure Data Lake, HDInsight, Stream Analytics). β€’ Proficient in SQL and experience with scripting languages such as Python or Scala. β€’ Experience with data modeling, data warehousing, and building ETL pipelines. β€’ Familiarity with big data tools and frameworks (e.g., Hadoop, Spark) is a plus. β€’ Excellent problem-solving skills and the ability to work independently or as part of a team. β€’ Strong communication skills and the ability to work closely with both technical and non-technical staff. To apply please send your resume to this job posting.