eStaffing Inc.
Azure Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer with a 12-month contract based in Cincinnati, OH (3 days on-site). Requires 7+ years of experience, expertise in Azure Databricks, Pyspark, Terraform, and strong SQL skills.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
December 12, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Cincinnati, OH
-
🧠 - Skills detailed
#PySpark #Automation #Terraform #Spark (Apache Spark) #Distributed Computing #Azure #Azure Databricks #SQL (Structured Query Language) #Infrastructure as Code (IaC) #Version Control #GitHub #Monitoring #Azure cloud #Python #Data Governance #Cloud #Databricks #Data Engineering
Role description
Job Title: Data Engineer
Contract: 12 Months (potential for conversion/extension)
Job Location: Cincinnati, OH (3 days’ on-site required)
Note: Relocation will work for this role. Candidate have to relocate at his or her own expenses.
This is a W2 role.
Short Job Description
We need a strong Azure Data Engineer with expertise in Databricks, including Unity Catalog experience), strong Pyspark and understanding of CI/CD and Infrastructure as Code (IaC) using Terraform.
Requirements
• 7+ years of experience as a Data Engineer
• Hands-on experience with Azure Databricks, Spark, and Python
• Experience with Delta Live Tables (DLT) and Databricks SQL
• Strong SQL and database background
• Experience with Azure Functions, messaging services, or orchestration tools
• Familiarity with data governance, lineage, or cataloging tools (e.g., Purview, Unity Catalog)
• Experience monitoring and optimizing Databricks clusters or workflows
• Experience working with Azure cloud data services and understanding how they integrate with Databricks and enterprise data platforms
• Experience with Terraform for cloud infrastructure provisioning
• Experience with GitHub and GitHub Actions for version control and CI/CD automation
• Strong understanding of distributed computing concepts (partitions, joins, shuffles, cluster behavior)
• Familiarity with SDLC and modern engineering practices
• Ability to balance multiple priorities, work independently, and stay organized
Job Title: Data Engineer
Contract: 12 Months (potential for conversion/extension)
Job Location: Cincinnati, OH (3 days’ on-site required)
Note: Relocation will work for this role. Candidate have to relocate at his or her own expenses.
This is a W2 role.
Short Job Description
We need a strong Azure Data Engineer with expertise in Databricks, including Unity Catalog experience), strong Pyspark and understanding of CI/CD and Infrastructure as Code (IaC) using Terraform.
Requirements
• 7+ years of experience as a Data Engineer
• Hands-on experience with Azure Databricks, Spark, and Python
• Experience with Delta Live Tables (DLT) and Databricks SQL
• Strong SQL and database background
• Experience with Azure Functions, messaging services, or orchestration tools
• Familiarity with data governance, lineage, or cataloging tools (e.g., Purview, Unity Catalog)
• Experience monitoring and optimizing Databricks clusters or workflows
• Experience working with Azure cloud data services and understanding how they integrate with Databricks and enterprise data platforms
• Experience with Terraform for cloud infrastructure provisioning
• Experience with GitHub and GitHub Actions for version control and CI/CD automation
• Strong understanding of distributed computing concepts (partitions, joins, shuffles, cluster behavior)
• Familiarity with SDLC and modern engineering practices
• Ability to balance multiple priorities, work independently, and stay organized
