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Trainee Azure Data Factory Developer Jobs in Ohio

Azure Data Architect

Dublin, OH · On-site

$61.25 - $79.75/hr

Required Skills • Strong experience with Azure data tools (e.g., Azure Data Factory, Fabric ... • Collaborate with engineering and analytics teams to guide implementation • Identify ...

Senior Data Engineer

Cincinnati, OH

$101K - $138K/yr

Sr. Data Engineer for Cincinnati OH Will work on the projects from inception to end using Azure cloud technologies like PySpark, Spark SQL, Azure Data Lake Storage, Azure Data Factory, Azure SQL ...

OH · On-site

$51 - $69.75/hr

Develop and maintain automation for CosmosDB, Azure Data Factory, and other Azure services ... DevOps processes.

Azure DevOps Engineer

Columbus, OH · On-site

$65 - $70/hr

Develop and maintain automation for CosmosDB, Azure Data Factory, and other Azure services ... Ensure security, compliance, and best practices are followed in all DevOps processes.

Data Engineer - Reinvention Centers

Columbus, OH · Hybrid

$110K - $132K/yr

Leveraging Azure Data Factory, Azure Databricks, and Azure AI Foundry, you partner with stakeholders to define data engineering use cases, prototype scalable architectures, and deliver production ...

Design, develop, and maintain data integration solutions using SQL Server, SSIS, Azure Data Factory ... Familiarity with programming languages such as Python, Java, or .NET * Experience with cloud data ...

Design, develop, and maintain data integration solutions using SQL Server, SSIS, Azure Data Factory ... Familiarity with programming languages such as Python, Java, or .NET * Experience with cloud data ...

Data & ML Engineer

Mason, OH · On-site

$107K - $129K/yr

Proficiency with CI/CD pipelines, DevOps, and MLOps practices is expected to ensure robust ... using Azure Data Factory and orchestration tools Structuring Lakehouse, Azure Data Lake, and ...

Data & ML Engineer

Mason, OH

$107K - $129K/yr

Proficiency with CI/CD pipelines, DevOps, and MLOps practices is expected to ensure robust ... using Azure Data Factory and orchestration tools Structuring Lakehouse, Azure Data Lake, and ...

Data & ML Engineer

Mason, OH · On-site

$107K - $129K/yr

Proficiency with CI/CD pipelines, DevOps, and MLOps practices is expected to ensure robust ... using Azure Data Factory and orchestration tools Structuring Lakehouse, Azure Data Lake, and ...

Lead Data Engineer

Columbus, OH

$107K - $129K/yr

Design and implement scalable ETL/ELT pipelines using Azure Data Factory (ADF) , Databricks , and ... Support CI/CD automation, DevOps practices, and version control for data pipelines and reporting ...

Implement and manage Azure services such as Data Factory, Synapse Pipelines, Storage Accounts, and Key Vault. * Automate deployments using CI/CD pipelines (Azure DevOps, GitHub Actions, or equivalent)

Lead Data Engineer

Columbus, OH

$107K - $129K/yr

... Azure Data Factory (ADF), Databricks, and DBT Lead the development of Data Vault 2.0 models and ... automation, DevOps practices, and version control for data pipelines and reporting assets ...

Lead Data Engineer

Columbus, OH

$107K - $129K/yr

Design and implement scalable ETL/ELT pipelines using Azure Data Factory (ADF) , Databricks , and ... Support CI/CD automation, DevOps practices, and version control for data pipelines and reporting ...

Lead Data Engineer

Columbus, OH

$110K - $132K/yr

Design and implement scalable ETL/ELT pipelines using Azure Data Factory (ADF) , Databricks , and ... Support CI/CD automation, DevOps practices, and version control for data pipelines and reporting ...

Lead Data Engineer

Columbus, OH · On-site

$107K - $129K/yr

Design and implement scalable ETL/ELT pipelines using Azure Data Factory (ADF) , Databricks , and ... Support CI/CD automation, DevOps practices, and version control for data pipelines and reporting ...

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Trainee Azure Data Factory Developer information

What are the most commonly searched types of Azure Data Factory Developer jobs in Ohio? The most popular types of Azure Data Factory Developer jobs in Ohio are:
What are popular job titles related to Trainee Azure Data Factory Developer jobs in Ohio? For Trainee Azure Data Factory Developer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Trainee Azure Data Factory Developer jobs in Ohio look for? The top searched job categories for Trainee Azure Data Factory Developer jobs in Ohio are:
What cities in Ohio are hiring for Trainee Azure Data Factory Developer jobs? Cities in Ohio with the most Trainee Azure Data Factory Developer job openings:
Infographic showing various Trainee Azure Data Factory Developer job openings in Ohio as of July 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution.

Azure Data Architect

Northern Base

Dublin, OH • On-site

$61.25 - $79.75/hr

Full-time

Posted 7 days ago


Job description

Azure Data Architect
Dublin, OH | 8 - 23 years of experience
 
Job Description
Must Have Technical/Functional Skills
Data Architect – Azure (Healthcare Preferred)
We are seeking a seasoned Data Architect to design, evaluate, and guide modern data architectures across our analytics ecosystem. This role will partner closely with business and technical teams to ensure scalable, high-quality, and future-ready data solutions.
Required Skills
• Strong experience with Azure data tools (e.g., Azure Data Factory, Fabric, Synapse, Databricks, ADLS)
• Proven ability to evaluate and recommend architecture solutions
• Solid understanding of data modeling, pipelines, and cloud architecture principles
Preferred
• Experience in Healthcare (highly preferred), Oncology (nice to have).
 
Roles & Responsibilities
Key Responsibilities
• Design and review end-to-end data architecture using Azure data platforms
• Provide recommendations on best practices, tools, and architectural patterns
• Ensure data solutions are scalable, secure, and aligned with business needs
• Collaborate with engineering and analytics teams to guide implementation
• Identify opportunities to optimize performance, data quality, and cost