Data Engineer

DATAEXL INFORMATION LLC; Cincinnati (OH); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading IT services firm in Cincinnati is seeking a mid-senior level Azure Data Engineer. Applicants should have over 7 years of experience, focusing on Databricks and Pyspark. The role involves optimizing Databricks workflows and collaborating with Azure cloud data services to ensure effective data governance and management. Candidates must be organized, possess strong SQL skills, and have experience with Terraform. This is a one-year contract with potential for extension.

Qualifications

• 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.

Responsibilities

• Optimize and monitor Databricks clusters.
• Work with Azure cloud data services.
• Provide data governance and lineage support.

Skills

Azure Databricks

Pyspark

SQL

Terraform

GitHub Actions

Data governance

Job description

Duration: 1 Year Contract (potential for conversion/extension)

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

Industries

IT Services and IT Consulting