Azure Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer with 5-7 years of data engineering experience, including 3+ years in leadership. Key skills include Azure Databricks, Apache Spark, Python, and API development. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 4, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Cincinnati, OH
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🧠 - Skills detailed
#Microsoft Azure #ADF (Azure Data Factory) #Docker #Delta Lake #Python #SQL (Structured Query Language) #Compliance #Informatica #Scala #API (Application Programming Interface) #Apache Spark #Databricks #Spark (Apache Spark) #Agile #Microservices #Security #Azure #Programming #Azure Data Factory #Data Engineering #Data Processing #GraphQL #Data Integration #Data Security #Leadership #Big Data #"ETL (Extract #Transform #Load)" #Synapse #Kubernetes #Terraform #Azure SQL #Azure Databricks #Azure Synapse Analytics #REST (Representational State Transfer)
Role description
5-7 years of experience in data engineering, big data, or API development, with at least 3+ years in a leadership role.
• Proven experience leading product-centric data engineering initiatives in an agile delivery environment.
• Expertise in Azure Databricks, Apache Spark, Azure SQL, and other Microsoft Azure services.
• Strong programming skills in Python, Scala, and SQL for data processing and API development.
• Experience in building and managing APIs (REST, GraphQL, gRPC) and microservices.
• Hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, and Delta Lake.
• Proficiency in CI/CD pipelines, Terraform/Bicep, and Infrastructure-as-Code.
• Experience with data security and compliance measures (e.g., encryption, access control, auditing) for sensitive HR and employee data.
• Strong problem-solving skills, with a focus on performance tuning, security, and cost optimization.
• Experience with containerization (Docker, Kubernetes) and event-driven architecture is a plus.
• Exposure to Informatica for ETL/ELT and data integration
5-7 years of experience in data engineering, big data, or API development, with at least 3+ years in a leadership role.
• Proven experience leading product-centric data engineering initiatives in an agile delivery environment.
• Expertise in Azure Databricks, Apache Spark, Azure SQL, and other Microsoft Azure services.
• Strong programming skills in Python, Scala, and SQL for data processing and API development.
• Experience in building and managing APIs (REST, GraphQL, gRPC) and microservices.
• Hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, and Delta Lake.
• Proficiency in CI/CD pipelines, Terraform/Bicep, and Infrastructure-as-Code.
• Experience with data security and compliance measures (e.g., encryption, access control, auditing) for sensitive HR and employee data.
• Strong problem-solving skills, with a focus on performance tuning, security, and cost optimization.
• Experience with containerization (Docker, Kubernetes) and event-driven architecture is a plus.
• Exposure to Informatica for ETL/ELT and data integration
