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Azure Data Engineer Jobs in Ohio (NOW HIRING)

Azure Data Engineer

Cincinnati, OH · On-site

$111.70K - $134.20K/yr

This is a W2 role Short We need a strong Azure Data Engineer with expertise in Databricks, including Unity Catalog experience), strong Pyspark and understanding of CI/CD and Infrastructure as Code ...

Azure Data Engineer

Cincinnati, OH · On-site

$52.75 - $65.50/hr

Required skills - Azure SQL DB, Azure Data Factory, Synapse Analytics, Power BI,Azure Data Lake, PySpark, SparkSQL Python Minimum 6-8 years of relevant experience working as Azure analytics ...

Senior Azure Data & Platform Engineer

OH · On-site +1

$53 - $69/hr

Job Responsibilities Azure Data Engineering & Integration * Lead the design, development, and implementation of Azure Data Factory pipelines, Azure Logic Apps workflows and related Azure data ...

Job Responsibilities Azure Data Engineering & Integration * Lead the design, development, and implementation of Azure Data Factory pipelines, Azure Logic Apps workflows and related Azure data ...

MS Fabric Data Engineer

Mason, OH

$107.70K - $129.30K/yr

The Data Engineer will design, build, and support the pipelines, data structures, quality controls ... Integrate and normalize data from Epicor, JobBOSS, SAP ECC, Salesforce, Azure SQL, and other ...

MS Fabric Data Engineer

Mason, OH

$107.70K - $129.30K/yr

Position Summary Our client is seeking a hands-on Data Engineer to stand up and scale our ... Enhance Azure and Microsoft Fabric, including data ingestion, storage, transformation, modeling ...

Data Engineer

Mason, OH

$107.70K - $129.30K/yr

The Data Engineer is responsible for building, maintaining, and scaling RH Aero's enterprise Azure data platform and Microsoft Fabric environment in support of business integration, data ...

Data Engineer

Mason, OH · On-site

$107.70K - $129.30K/yr

The Data Engineer is responsible for building, maintaining, and scaling RH Aero's enterprise Azure data platform and Microsoft Fabric environment in support of business integration, data ...

Team members work independently but engage in peer programming throughout the day * Location: Cincinnati Non-Negotiables: * Top 3 Skills: Azure Databricks, Python, and Spark * Ex- Wallmart/Kroger ...

... Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and ...

... Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and ...

... Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and ...

Data Engineer

Dublin, OH

$108.10K - $129.80K/yr

We are seeking a skilled Data Engineer to join our Analytics & Automation team and serve as the ... ESSENTIAL DUTIES · Design, build, and maintain robust, scalable data pipelines in Azure using ...

Data Engineer

Dublin, OH · On-site

$108.10K - $129.80K/yr

We are seeking a skilled Data Engineer to join our Analytics & Automation team and serve as the ... ESSENTIAL DUTIES • Design, build, and maintain robust, scalable data pipelines in Azure using ...

Lead Data Engineer

Columbus, OH · On-site

$107.50K - $129.20K/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 ...

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Azure Data Engineer information

See Ohio salary details

$42.3K

$123.3K

$168.7K

How much do azure data engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for azure data engineer in Ohio is $123,321.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $130,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Azure Data Engineer, and why are they important?

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

What are Azure Data Engineers?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.

What is the difference between Azure Data Engineer vs Data Analyst?

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

What are the most commonly searched types of Azure Data Engineer jobs in Ohio? The most popular types of Azure Data Engineer jobs in Ohio are:
What cities in Ohio are hiring for Azure Data Engineer jobs? Cities in Ohio with the most Azure Data Engineer job openings:
Infographic showing various Azure Data Engineer job openings in Ohio as of May 2026, with employment types broken down into 69% Full Time, 20% Part Time, and 11% Contract. Highlights an 79% Physical, 11% Hybrid, and 10% Remote job distribution, with an average salary of $123,321 per year, or $59.3 per hour.

Azure Data Engineer

campus4tech

Cincinnati, OH • On-site

$111.70K - $134.20K/yr

Full-time

Posted 19 days ago


Job description

Job Title: Data Engineer
Contract: 12 Months (potential for conversion/extension)
Job Location: Cincinnati, OH (3 days' on-site required)
Note: Relocation will work for this role. Candidate have to relocate at his or her own expenses.
This is a W2 role
Short Job Description
We need a strong Azure Data Engineer with expertise in Databricks, including Unity Catalog experience), strong Pyspark and understanding of CI/CD and Infrastructure as Code (IaC) using Terraform.
Requirements
• 7+ years of experience as a Data Engineer
• Hands-on experience with Azure Databricks, Spark, and Python
• Experience with Delta Live Tables (DLT) and Databricks SQL
• Strong SQL and database background
• Experience with Azure Functions, messaging services, or orchestration tools
• Familiarity with data governance, lineage, or cataloging tools (e.g., Purview, Unity Catalog)
• Experience monitoring and optimizing Databricks clusters or workflows
• Experience working with Azure cloud data services and understanding how they integrate with Databricks and enterprise data platforms
• Experience with Terraform for cloud infrastructure provisioning
• Experience with GitHub and GitHub Actions for version control and CI/CD automation
• Strong understanding of distributed computing concepts (partitions, joins, shuffles, cluster behavior)
• Familiarity with SDLC and modern engineering practices
• Ability to balance multiple priorities, work independently, and stay organized