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Azure Data Factory Jobs in Ohio (NOW HIRING)

Azure Data Engineer (Python & AI/ML)

Cincinnati, OH · On-site

$109K - $132K/yr

Azure Data Factory (ADF) * Azure Databricks * Azure Synapse Analytics * Azure Data Lake Storage (ADLS Gen2) * Advanced proficiency in Python (data processing, scripting, automation) * Strong ...

Azure Data Engineer

Cincinnati, OH · On-site

$109K - $132K/yr

... Factory, Azure Functions, and other Azure data services Expert in SQL, Python, Spark, Databricks Experience working with varied data file formats (Avro, json, csv) using PySpark for ingesting and ...

Data Engineer

Cincinnati, OH · On-site

$109K - $132K/yr

The ideal candidate will have extensive experience in designing and implementing data solutions using various technologies, including PySpark, Azure Data Factory, and Informatica Data Cloud ...

Associate Data Architect

Cincinnati, OH · On-site

$61.25 - $78.75/hr

Design and architect an Azure Data Factory, Azure Databricks, Azure Data Lake and ETLs. * Collaborate with other departments to design and build the data models needed to derive dashboards, reports ...

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 Engineer

Cincinnati, OH · On-site

$109K - $132K/yr

Cincinnati, OH Fulltime only * 7+ plus years of experience in solutioning data pipeline for large enterprise data Warehouse applications using Azure Data Factory, Data bricks, Data Ingestion, Data ...

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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 Jun 28, 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 job?

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.

Is ADF better than SSIS?

Azure Data Factory (ADF) and SQL Server Integration Services (SSIS) are both data integration tools, but ADF is a cloud-based service optimized for large-scale, cloud-native data workflows, while SSIS is an on-premises tool suited for traditional ETL processes. For jobs involving cloud data movement, ADF offers better scalability and integration with Azure services, whereas SSIS is preferred for on-premises environments and complex transformations requiring local resources.

Is Azure Data Factory in demand?

Azure Data Factory is a widely used cloud-based data integration service, and professionals with skills in this tool are in high demand due to the increasing adoption of cloud data solutions. Knowledge of data pipelines, ETL processes, and related Azure services enhances job prospects in data engineering and analytics roles.

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.

Is ADF difficult to learn?

Azure Data Factory (ADF) is a data integration service that requires understanding of data workflows, pipelines, and cloud-based tools. While it has a learning curve for beginners, familiarity with SQL, data transformation concepts, and cloud environments can help accelerate the learning process. Many users find that hands-on practice and official documentation make mastering ADF achievable within a reasonable timeframe.

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 can you do with Azure Data Factory?

Azure Data Factory is a cloud-based data integration service that allows data engineers and analysts to create, schedule, and manage data pipelines for moving and transforming data across various sources and destinations. It supports data ingestion, data transformation using mapping and data flow activities, and orchestration of complex workflows, enabling efficient data processing and analytics. Knowledge of data integration, ETL processes, and familiarity with Azure environment are important for working with Azure Data Factory.
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 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 June 2026, with employment types broken down into 4% As Needed, 81% Full Time, 7% Part Time, 4% Temporary, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $115,487 per year, or $55.5 per hour.
Sr,Azure data engineer

Sr,Azure data engineer

Georgia IT Inc

Columbus, OH • On-site

$51.50 - $63.75/hr

Other

Posted 5 days ago


Job description

Sr Azure Data Engineer

Location: Columbus, OH (Local candidates ONLY – In-Person Interview) Contract

U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor.

Job Description
  • Design, develop, and maintain data pipelines, ETL/ELT processes, and data transformation solutions.
  • Collaborate with business, IT, and analytics teams to understand requirements and design optimized solutions.
  • Lead data engineering strategies for complex projects.
  • Build fault-tolerant data pipelines.
  • Key skills: Azure Databricks, Spark, Azure Data Factory, SQL, Python, containerization, and microservices.

Georgia IT logo

About Georgia IT

Sourced by ZipRecruiter

A PROFESSIONAL SERVICES ORGANIZATION WITH A VISION OF DELIVERING SIMPLE AFFORDABLE, SUSTAINABLE SOLUTIONS FOR COMPLEX PROBLEMS WITH INTEGRITY. OUR GOAL IS TO ACHIEVE ALL THIS IN A COLLABRATIVE APPROACH WITH ALL PARTIES INVOLVED IN DELIVERING SOLUTIONS/PRODUCTS.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Alpharetta, GA, US

Year founded

2007

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