eStaffing Inc.
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Azure Data Engineer
role at
eStaffing Inc.
Contract: 12 Months (potential for conversion/extension)
Job Location: Cincinnati, OH (3 days’ on-site required)
Note: Relocation will work for this role. Candidate has to relocate at their 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
Seniority level
Mid‑Senior level
Employment type
Contract
Job function
Information Technology
Retail
#J-18808-Ljbffr
Azure Data Engineer
role at
eStaffing Inc.
Contract: 12 Months (potential for conversion/extension)
Job Location: Cincinnati, OH (3 days’ on-site required)
Note: Relocation will work for this role. Candidate has to relocate at their 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
Seniority level
Mid‑Senior level
Employment type
Contract
Job function
Information Technology
Retail
#J-18808-Ljbffr