Azure Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer with 9+ years of data experience, including 5+ years in Databricks administration. Contract length is long-term, with a pay rate of $55.00 - $70.00 per hour, primarily on-site in Boston, MA.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date discovered
August 24, 2025
🕒 - Project duration
Unknown
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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
Boston, MA
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🧠 - Skills detailed
#Microservices #Delta Lake #Data Lakehouse #Azure Databricks #Containers #Observability #Prometheus #Python #Automation #Data Governance #GitHub #Data Processing #Spark (Apache Spark) #Scripting #Databricks #Vault #Terraform #Kafka (Apache Kafka) #Bash #Storage #DevOps #Azure #Security #Data Engineering #Apache Spark #Data Lake #Azure DevOps #Scala #Cloud #Monitoring #Grafana
Role description
Position: Azure Databricks Administrator
Client Location: Boston, MA
Work Location: On-site Highly Preferred (Remote is OK for 100% match)
Duration: Long Term
Rate: Quote your best
Scope of Services:
Architect, configure, and optimize Databricks Pipelines for large-scale data processing within an Azure Data Lakehouse environment.
Set up and manage Azure infrastructure components including Databricks Workspaces, Azure Containers (AKS/ACI), Storage Accounts, and Networking.
Design and implement a monitoring and observability framework using tools like Azure Monitor, Log Analytics, and Prometheus/Grafana.
Collaborate with platform and data engineering teams to enable microservices-based architecture for scalable and modular data solutions.
Drive automation and CI/CD practices using Terraform, ARM templates, and GitHub Actions/Azure DevOps.
Required Skills:
Overall 9+ years of Data and Analytics experience
5+ years of experience as Databricks Administration and cloud engineering.
Should know how to Automate, and Performance Tuning the Databricks
Able to Install, Configure, and Maintain Databricks clusters and workspaces.
5+ years hands-on experience with DevOps tools.
Strong hands-on experience with Delta Lake, and Apache Spark.
Deep understanding of Azure services: Resource Manager, AKS, ACR, Key Vault, and Networking.
Proven experience in Microservices Architecture and Container orchestration.
Expertise in Infrastructure-as-code, scripting (Python, Bash), and DevOps tooling.
Familiarity with data governance, security, and cost optimization in cloud environments.
Experience with event-driven architectures (Kafka/Event Grid).
Knowledge of data mesh principles and distributed data ownership.
Job Type: Contract
Pay: $55.00 - $70.00 per hour
Expected hours: 40 per week
Work Location: Remote
Position: Azure Databricks Administrator
Client Location: Boston, MA
Work Location: On-site Highly Preferred (Remote is OK for 100% match)
Duration: Long Term
Rate: Quote your best
Scope of Services:
Architect, configure, and optimize Databricks Pipelines for large-scale data processing within an Azure Data Lakehouse environment.
Set up and manage Azure infrastructure components including Databricks Workspaces, Azure Containers (AKS/ACI), Storage Accounts, and Networking.
Design and implement a monitoring and observability framework using tools like Azure Monitor, Log Analytics, and Prometheus/Grafana.
Collaborate with platform and data engineering teams to enable microservices-based architecture for scalable and modular data solutions.
Drive automation and CI/CD practices using Terraform, ARM templates, and GitHub Actions/Azure DevOps.
Required Skills:
Overall 9+ years of Data and Analytics experience
5+ years of experience as Databricks Administration and cloud engineering.
Should know how to Automate, and Performance Tuning the Databricks
Able to Install, Configure, and Maintain Databricks clusters and workspaces.
5+ years hands-on experience with DevOps tools.
Strong hands-on experience with Delta Lake, and Apache Spark.
Deep understanding of Azure services: Resource Manager, AKS, ACR, Key Vault, and Networking.
Proven experience in Microservices Architecture and Container orchestration.
Expertise in Infrastructure-as-code, scripting (Python, Bash), and DevOps tooling.
Familiarity with data governance, security, and cost optimization in cloud environments.
Experience with event-driven architectures (Kafka/Event Grid).
Knowledge of data mesh principles and distributed data ownership.
Job Type: Contract
Pay: $55.00 - $70.00 per hour
Expected hours: 40 per week
Work Location: Remote
