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Azure Data Engineer (Python & AI/ML)

  • Job type Posted on: May 28, 2026
  • Experience level ClifyX
  • Employment type Cincinnati, Ohio
  • Employment type Onsite
  • Salary Full-time

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Job Title :

Azure Data Engineer (Python & AI/ML)

Job Type :

Full-time

Job Location :

Cincinnati Ohio United States

Remote :

No

Jobcon Logo Job Description :

Job Title Required Skills & Qualifications 10+ years of experience in Data Engineering / Data Platforms Strong hands-on experience with Microsoft Azure data services: Azure Data Factory (ADF) Azure Databricks Azure Synapse Analytics Azure Data Lake Storage (ADLS Gen2) Advanced proficiency in Python (data processing, scripting, automation) Strong experience with SQL and data modeling concepts Experience working with Big Data technologies (Spark, PySpark) Exposure to AI/ML workflows, feature engineering, and data preparation for ML models Experience with CI/CD pipelines and version control (Git, Azure DevOps) Strong understanding of data architecture, performance tuning, and optimization Excellent communication skills and ability to work in a hybrid onsite model

Jobcon Logo Position Details

Posted:

May 28, 2026

Reference Number:

14660_04AA80D064A0BF9AD7701E12722561B6

Employment:

Full-time

Salary:

Not Available

City:

Cincinnati

Job Origin:

APPCAST_CPC

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Job Title Required Skills & Qualifications 10+ years of experience in Data Engineering / Data Platforms Strong hands-on experience with Microsoft Azure data services: Azure Data Factory (ADF) Azure Databricks Azure Synapse Analytics Azure Data Lake Storage (ADLS Gen2) Advanced proficiency in Python (data processing, scripting, automation) Strong experience with SQL and data modeling concepts Experience working with Big Data technologies (Spark, PySpark) Exposure to AI/ML workflows, feature engineering, and data preparation for ML models Experience with CI/CD pipelines and version control (Git, Azure DevOps) Strong understanding of data architecture, performance tuning, and optimization Excellent communication skills and ability to work in a hybrid onsite model

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