Azure Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer with a 12-month contract, hybrid location in Glendale, AZ. Requires 4+ years in data engineering, expertise in Azure Data Lake, Data Factory, SQL, and Power BI. Bachelor's degree or equivalent experience needed.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
440
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🗓️ - Date discovered
August 22, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Glendale, AZ
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🧠 - Skills detailed
#Azure Synapse Analytics #SAP #Spark (Apache Spark) #Data Science #AWS (Amazon Web Services) #SSIS (SQL Server Integration Services) #Azure Blob Storage #Microsoft Power BI #Data Pipeline #Azure SQL Database #SQL (Structured Query Language) #Computer Science #Data Framework #Security #Data Engineering #ADF (Azure Data Factory) #SSRS (SQL Server Reporting Services) #"ETL (Extract #Transform #Load)" #ML (Machine Learning) #BI (Business Intelligence) #Data Quality #Azure cloud #Data Modeling #Synapse #Big Data #Azure #Datasets #DevOps #Business Objects #Storage #Azure SQL #Azure Data Factory #Data Lake #Azure Security #BO (Business Objects) #GCP (Google Cloud Platform) #Databricks #Data Governance #Cloud
Role description
Job Title: Azure Data Engineer
Location: Glendale, AZ (Hybrid - 3 days onsite)
Duration: 12 Months
•
•
• This role does NOT allow us to work with sub-vendors.
•
•
• Job Summary:
This critical role will focus on designing, developing, and optimizing our data infrastructure within the Azure cloud environment. The ideal candidate possesses a deep understanding of data engineering principles and extensive hands-on experience with Azure Data Lake, Azure Data Factory, Databricks, and SAP Business Objects. You will play a key role in building and maintaining robust data pipelines, ensuring data quality, and enabling data-driven insights for the business.
Education and Experience Requirements:
Bachelor’s degree in computer science, Engineering, or a related field and 2-5 years of experience or 5+ years of relevant work experience.
Required Knowledge, Skills, and Abilities:
• 4+ years of hands-on experience in data engineering, data warehousing, and cloud-based data platforms.
• Deep expertise in Azure Data Lake, Azure Data Factory, Azure Security & Governance, Databricks, and SAP Business Objects.
• Strong proficiency in SQL, including complex query writing, query optimization, and performance tuning.
• Proven experience in developing and maintaining Power BI dashboards and reports.
• Hands-on experience with Azure services such as Azure Synapse Analytics, Azure SQL Database, and Azure Blob Storage.
• Solid understanding of data modeling concepts, ETL processes, and big data frameworks (e.g., Spark).
• Experience in optimizing and managing large-scale datasets in cloud environments.
• Experience developing and maintaining ETL packages using SSIS and reports using SSRS.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Excellent communication and collaboration skills.
• Master's degree in a relevant field.
• Familiarity with machine learning models and data science concepts.
• Understanding of DevOps practices and CI/CD pipelines for data applications.
• Experience with data governance tools and frameworks.
• Experience with other cloud platforms (e.g., AWS, GCP).
Job Title: Azure Data Engineer
Location: Glendale, AZ (Hybrid - 3 days onsite)
Duration: 12 Months
•
•
• This role does NOT allow us to work with sub-vendors.
•
•
• Job Summary:
This critical role will focus on designing, developing, and optimizing our data infrastructure within the Azure cloud environment. The ideal candidate possesses a deep understanding of data engineering principles and extensive hands-on experience with Azure Data Lake, Azure Data Factory, Databricks, and SAP Business Objects. You will play a key role in building and maintaining robust data pipelines, ensuring data quality, and enabling data-driven insights for the business.
Education and Experience Requirements:
Bachelor’s degree in computer science, Engineering, or a related field and 2-5 years of experience or 5+ years of relevant work experience.
Required Knowledge, Skills, and Abilities:
• 4+ years of hands-on experience in data engineering, data warehousing, and cloud-based data platforms.
• Deep expertise in Azure Data Lake, Azure Data Factory, Azure Security & Governance, Databricks, and SAP Business Objects.
• Strong proficiency in SQL, including complex query writing, query optimization, and performance tuning.
• Proven experience in developing and maintaining Power BI dashboards and reports.
• Hands-on experience with Azure services such as Azure Synapse Analytics, Azure SQL Database, and Azure Blob Storage.
• Solid understanding of data modeling concepts, ETL processes, and big data frameworks (e.g., Spark).
• Experience in optimizing and managing large-scale datasets in cloud environments.
• Experience developing and maintaining ETL packages using SSIS and reports using SSRS.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Excellent communication and collaboration skills.
• Master's degree in a relevant field.
• Familiarity with machine learning models and data science concepts.
• Understanding of DevOps practices and CI/CD pipelines for data applications.
• Experience with data governance tools and frameworks.
• Experience with other cloud platforms (e.g., AWS, GCP).
