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Azure Data Factory Jobs in Ohio (NOW HIRING)

Azure Data Architect

Dublin, OH · On-site

$61.25 - $79.75/hr

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 ...

Senior Data Engineer

Cincinnati, OH · On-site

$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 ...

Data Engineer

Macedonia, OH · Hybrid

$103K - $124K/yr

Design, develop, and maintain scalable data solutions using Microsoft Fabric, Azure Data Factory, and Azure technologies. * Build, maintain, and optimize data pipelines using Python, PySpark, SQL ...

Azure Data Engineer

Dublin, OH · On-site

$108K - $129K/yr

Design, build, and maintain scalable data ingestion and transformation pipelines using Microsoft Fabric and Azure-native tooling (Data Factory in Fabric, Dataflows Gen2, Notebooks, Spark jobs).learn ...

OH · On-site

$51 - $69.75/hr

Develop and maintain automation for CosmosDB, Azure Data Factory, and other Azure services. * Collaborate with Enterprise Architecture and Development teams to streamline deployment processes.

Azure DevOps Engineer

Columbus, OH · On-site

$65 - $70/hr

Develop and maintain automation for CosmosDB, Azure Data Factory, and other Azure services. * Collaborate with Enterprise Architecture and Development teams to streamline deployment processes.

Data Solutions Engineer

Columbus, OH

$110K - $132K/yr

Proficiency in the following tools, technologies, and data concepts: • Azure Data Factory, Azure SQL Database, PostgreSQL, Azure Blob Storage, Azure Data Lake Storage • Azure Synapse Analytics ...

Data Solutions Engineer

Cleveland, OH

$110K - $133K/yr

Proficiency in the following tools, technologies, and data concepts: • Azure Data Factory, Azure SQL Database, PostgreSQL, Azure Blob Storage, Azure Data Lake Storage • Azure Synapse Analytics ...

Data Solutions Engineer

Cincinnati, OH

$111K - $134K/yr

Proficiency in the following tools, technologies, and data concepts: • Azure Data Factory, Azure SQL Database, PostgreSQL, Azure Blob Storage, Azure Data Lake Storage • Azure Synapse Analytics ...

Data Solutions Engineer

Cleveland, OH · On-site

$110K - $133K/yr

Proficiency in the following tools, technologies, and data concepts: • Azure Data Factory, Azure SQL Database, PostgreSQL, Azure Blob Storage, Azure Data Lake Storage • Azure Synapse Analytics ...

$102.76 - $137.02/hr

Kenntnisse in Azure Data Services wie Azure Data Factory, Storage oder DevOps setzen Sie erfolgreich in Projekten ein. * Ein gutes Verständnis moderner Datenarchitekturen und cloudbasierter ...

New

Data & ML Engineer

Mason, OH · On-site

$107K - $129K/yr

... Azure Data Factory and orchestration tools Structuring Lakehouse, Azure Data Lake, and Synapse environments for scalable analytics Organizing data formats, schemas, and versioning (Delta, Parquet ...

Data & ML Engineer

Mason, OH

$107K - $129K/yr

... Azure Data Factory and orchestration tools Structuring Lakehouse, Azure Data Lake, and Synapse environments for scalable analytics Organizing data formats, schemas, and versioning (Delta, Parquet ...

Data & ML Engineer

Mason, OH · On-site

$107K - $129K/yr

... Azure Data Factory and orchestration tools Structuring Lakehouse, Azure Data Lake, and Synapse environments for scalable analytics Organizing data formats, schemas, and versioning (Delta, Parquet ...

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Azure Data Factory information

See Ohio salary details

$10

$55

$75

How much do azure data factory jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for azure data factory in Ohio is $55.52, according to ZipRecruiter salary data. Most workers in this role earn between $50.29 and $62.40 per hour, depending on experience, location, and employer.

What is an Azure Data Factory?

An Azure Data Factory job refers to a data processing task executed within Azure Data Factory (ADF), a cloud-based data integration service. ADF enables the creation, scheduling, and orchestration of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) workflows. These jobs help in moving and transforming data between various data stores, such as Azure Blob Storage, SQL databases, and on-premises systems. By using pipelines, activities, and triggers, ADF automates data workflows efficiently.

What are the key skills and qualifications needed to thrive in the Azure Data Factory position, and why are they important?

To thrive in an Azure Data Factory role, you need expertise in data integration, ETL processes, and cloud data solutions, typically supported by a background in computer science or information technology. Familiarity with Microsoft Azure Data Factory, Azure SQL Database, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong analytical thinking, effective communication, and problem-solving skills help professionals excel in cross-functional teams. These skills are essential for designing, deploying, and maintaining efficient data workflows that support business analytics and decision-making.

What are some typical challenges faced by professionals working with Azure Data Factory, and how can they be addressed?

One of the main challenges in an Azure Data Factory role is managing complex data pipelines that span multiple data sources and destinations, which requires careful orchestration and monitoring. Troubleshooting data integration issues and ensuring data accuracy can also be demanding, especially when dealing with large volumes of data or evolving business requirements. Successful professionals often address these challenges by staying updated with Azure’s latest features, implementing robust error-handling, and collaborating closely with data architects and business analysts. Joining a supportive team environment and accessing ongoing training can further assist in overcoming common hurdles and advancing in your career.

What are the most commonly searched types of Azure Data Factory jobs in Ohio? The most popular types of Azure Data Factory jobs in Ohio are:
What are popular job titles related to Azure Data Factory jobs in Ohio? For Azure Data Factory jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Azure Data Factory jobs in Ohio look for? The top searched job categories for Azure Data Factory jobs in Ohio are:
What cities in Ohio are hiring for Azure Data Factory jobs? Cities in Ohio with the most Azure Data Factory job openings:
Infographic showing various Azure Data Factory job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $115,487 per year, or $55.5 per hour.

Azure Data Architect

Northern Base

Dublin, OH • On-site

$61.25 - $79.75/hr

Full-time

Posted 18 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