1

Azure Data Engineer Jobs in Ohio (NOW HIRING)

Azure Data Engineer

Cincinnati, OH ยท On-site

$111K - $134K/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 ยท On-site

$109K - $132K/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 ...

Sr,Azure data engineer

Columbus, OH ยท On-site

$51.50 - $63.75/hr

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 ...

Azure Data Engineer

Cincinnati, OH ยท On-site

$109K - $132K/yr

Azure Data Engineer Location: Cincinnati,OH (Hybrid) Duration : 6 Months Only (C2H) Drop Resumes to jorden@blueoriginit.com Exp :13+ Key Responsibilities Experience in Data modeling and advanced SQL ...

Azure Data Engineer (Python & AI/ML)

Cincinnati, OH ยท On-site

$109K - $132K/yr

Job Title Required Skills & Qualifications * 10+ years of experience in Data Engineering / Data Platforms * Strong hands-on experience with Microsoft Azure data services: * Azure Data Factory (ADF)

Data Engineer

Cincinnati, OH ยท On-site

$109K - $132K/yr

Advance Data Engineer We are seeking a highly skilled Advanced Data Engineer with a strong ... Implement data integration solutions using Azure Data Factory and manage data storage in Azure ...

... 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 ...

Sr Azure Data Engineer

Cincinnati, OH ยท On-site

$55 - $60/hr

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 ...

$102K - $122K/yr

We are seeking a Data Engineer to join our product development team. In this role, you will design ... Familiar with Azure data tools (such as Azure Data Factory, Azure Data Lake, Microsoft Fabric) or ...

... 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 ...

Lead Data Engineer

Columbus, OH ยท 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 ...

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

$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 ...

next page

Showing results 1-20

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 Jun 27, 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 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 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 engineers make $300,000 a year?

Senior data engineers, including those working with cloud platforms like Azure, can earn $300,000 or more annually, especially with extensive experience, specialized skills in data architecture, and relevant certifications. High salaries are often found in large organizations or in roles requiring advanced expertise in big data, machine learning, and data pipeline management.

Is azure data engineer a good career?

Azure Data Engineer is a valuable career path involving designing and implementing data solutions using Microsoft Azure tools and services. It requires skills in data modeling, cloud computing, and familiarity with tools like Azure Data Factory and SQL, with certifications enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data management across industries.

What is the salary of azure data engineer?

The average salary of an Azure Data Engineer typically ranges from $90,000 to $130,000 annually, depending on experience, location, and certifications such as Microsoft Certified: Azure Data Engineer Associate. Senior roles or those in high-demand regions may offer higher compensation.

What engineers make $500,000?

Senior data engineers, including those working with cloud platforms like Azure, can earn $500,000 or more annually, especially with extensive experience, specialized skills in data architecture, and certifications. High compensation is often associated with leadership roles, large organizations, or those with expertise in big data, machine learning, and advanced analytics.

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 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 job categories do people searching Azure Data Engineer jobs in Ohio look for? The top searched job categories for 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 June 2026, with employment types broken down into 92% Full Time, 2% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% 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 โ€ข On-site

$111K - $134K/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
โ€ข 7+ years of experience as a Data Engineer
โ€ข Hands-on experience with Azure Databricks, Spark, and Python
โ€ข Experience with Delta Live Tables (DLT) and Databricks SQL
โ€ข Strong SQL and database background
โ€ข Experience with Azure Functions, messaging services, or orchestration tools
โ€ข Familiarity with data governance, lineage, or cataloging tools (e.g., Purview, Unity Catalog)
โ€ข Experience monitoring and optimizing Databricks clusters or workflows
โ€ข Experience working with Azure cloud data services and understanding how they integrate with Databricks and enterprise data platforms
โ€ข Experience with Terraform for cloud infrastructure provisioning
โ€ข Experience with GitHub and GitHub Actions for version control and CI/CD automation
โ€ข Strong understanding of distributed computing concepts (partitions, joins, shuffles, cluster behavior)
โ€ข Familiarity with SDLC and modern engineering practices
โ€ข Ability to balance multiple priorities, work independently, and stay organized