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Azure Data Factory Jobs in Ohio (NOW HIRING)

Connect and orchestrate data pipelines between on-premises SQL databases and cloud services using Azure Data Factory (ADF), Logics Apps and Power Automate connectors. * Validate and monitor automated ...

Data Engineer

Broadview Heights, OH · On-site

$111K - $133K/yr

Microsoft Fabric / Azure * Build and maintain Fabric Lakehouses, Data Warehouses, and OneLake storage layers. * Develop Fabric Data Pipelines (Data Factory) for ingestion, transformation ...

Data Engineer

Broadview Heights, OH · On-site

$111K - $133K/yr

Microsoft Fabric / Azure * Build and maintain Fabric Lakehouses, Data Warehouses, and OneLake storage layers. * Develop Fabric Data Pipelines (Data Factory) for ingestion, transformation ...

Health IT Data Engineer

Continental, OH · Remote

$125K - $135K/yr

Azure Data Factory, Synapse, Databricks, or Microsoft Fabric experience. * Power BI and Tableau development experience. * Healthcare data integration experience. * Knowledge of HL7 or FHIR standards.

Senior Data Engineer

Cincinnati, OH · On-site

$103K - $140K/yr

... Azure Data Factory, SSIS); • Design, develop, enhance and support business intelligence systems primarily using Microsoft Power BI; • Collect, analyze and document user requirements; • ...

... Azure Data Factory, SSIS); • Design, develop, enhance and support business intelligence systems primarily using Microsoft Power BI; • Collect, analyze and document user requirements; • ...

Data Engineer

Mason, OH · On-site

$52 - $57/hr

Work with modern tools such as Airflow, AWS Glue, Azure Data Factory, PySpark, or equivalent Implement data validation, monitoring, and quality frameworks. * Enable integration across upstream and ...

$102.41 - $159.31/hr

Experience with Azure technologies including Azure Data Factory, Azure Blob Storage / ADLS, and Azure DevOps . * Knowledge of data quality frameworks and governance tooling such as Great Expectations ...

New

Data Engineer

Beavercreek, OH · On-site

$53K - $88K/yr

Familiarity with AWS services such as S3, Lambda, or Redshift, or Azure services such as Azure Data Factory, Azure Functions, or Cosmos DB. * Experience with data visualization or reporting tools ...

Familiarity with AWS services such as S3, Lambda, or Redshift, or Azure services such as Azure Data Factory, Azure Functions, or Cosmos DB. * Experience with data visualization or reporting tools ...

Showing results 41-60

Azure Data Factory information

See Ohio salary details

$10

$55

$75

How much do azure data factory jobs pay per hour?

As of Sep 3, 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 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 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 Azure Data Factory being phased out?

Azure Data Factory remains a core cloud data integration service within Microsoft Azure and is actively supported and developed. There are no indications that it will be phased out in the near future, and it continues to be widely used by data engineers and analysts for building data pipelines and workflows. Staying updated with Azure's product roadmap and certifications can help ensure skills remain relevant.

Is Azure Data Factory in demand?

Azure Data Factory is a widely used cloud-based data integration service, and professionals skilled in it are in high demand due to the increasing adoption of cloud data solutions. Knowledge of data pipelines, ETL processes, and related tools like Azure Synapse Analytics can enhance job prospects in data engineering and analytics roles.

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, often integrating with other Azure services. Proficiency in data pipeline design, ETL processes, and familiarity with Azure environments are essential for roles involving 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 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, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $115,487 per year, or $55.5 per hour.

$125 - $135K/hr

Full-time

Posted 15 days ago


Job description

Our Fortune 1000 Client is seeking an experienced Data Engineer for a full time position.  Salary is $125-$135k.   Work is onsite.  

Local Candidates only. No relocation.  No sponsorship available.

Job Description:

The Data Engineer's role is to plan, design, develop, test, implement, and maintain efficient information systems with a primary focus on building scalable data pipelines, Lakehouse environments, semantic models, and governed datasets to support business intelligence and advanced analytics. This individual will apply proven communication, analytical, and problem-solving skills to help identify, plan, and implement integrations between disparate systems to maximize the benefit of business system investments.  Frequent interaction is required with internal analysts, project leaders, as well as other internal and external stakeholders such as third-party software vendors.
 
Essential Functions and Responsibilities:
  • Microsoft Fabric / Azure
    • Build and maintain Fabric Lakehouses, Data Warehouses, and OneLake storage layers.
    • Develop Fabric Data Pipelines (Data Factory) for ingestion, transformation, orchestration, and automation.
    • Create and optimize Spark notebooks for ETL/ELT workloads.
    • Implement medallion architecture (bronze/silver/gold) within Fabric.
    • Manage and monitor workloads using Fabric capacities, workspaces, and governance features.
  • Data Modeling & BI
    • Build and maintain semantic models for reporting teams.
    • Work closely with reporting developers (Power BI) to ensure performant data models.
    • Optimize large-scale datasets for consumption and self-service analytics.
  • Data Engineering Core Skills
    • Design, build, and maintain scalable and reliable data pipelines.
    • Work with structured/unstructured data, Delta Lake, parquet, and data lake formats.
    • Implement best practices for data quality, lineage, monitoring, and observability.
    • Improve data performance through indexing, partitioning, caching, and optimization.
  • Collaboration
    • Work with business stakeholders to gather requirements.
    • Contribute to data governance and metadata management practices.
    • Ensure the integrity and security of enterprise data on host computers and databases, and during data transfers, in accordance with business needs and industry best practices regarding privacy, security, and compliance.
    • Conduct research on emerging products, services, protocols, and standards in support of systems software procurement and development efforts.
    • Develop, document, and maintain policies, procedures, and associated training plans for system administration and appropriate use.
    • Provide guidance and serve as an escalation to Help Desk.
    • Recommend, schedule, and perform software and related system improvement, upgrades, patches, reconfigurations, and/or purchases.
Minimum Skills and Qualifications: 
  • College degree or equivalent experience in information technology.
  • Related industry certifications are expected. 
  • Strong knowledge of API Integration & Development.  Enterprise application integration and other middleware technologies, such as web services, databases, and application/content integration.
  • Experience with Microsoft Fabric (Data Factory, Lakehouse, Warehouse).
  • Familiarity with Azure Data Services (ADLS, Synapse, ADF, Databricks, etc.).
  • Strong SQL development expertise.
  • Experience with Microsoft SharePoint or similar collaboration tools.
  • A highly qualified candidate would be familiar with some of the following: SharePoint Online, MS Power Automate, Power BI, Reporting Services, and Excel (Pivot Tables).
  • Experience documenting and maintaining configuration and process information.
  • Knowledge of applicable data privacy practices and laws.
  • Strong interpersonal, written, and oral communication skills.
  • Excellent time management and multitasking ability.
  • Highly self-motivated and directed, with strong attention to detail.
  • After hours and weekends, on-call availability.
  • Reliable transportation and freedom to travel upon request.  (Less than 10%.)

*Exodus Integrity Services (EIS) is an equal opportunity employer. In accordance with anti-discrimination law, it is the purpose of this policy to effectuate these principles and mandates. EIS prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. EIS conforms to the spirit as well as to the letter of all applicable laws and regulations.”