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Azure Data Engineer Jobs in Kent, OH (NOW HIRING)

Data Engineer

Macedonia, OH · Hybrid

$103K - $124K/yr

Working with Microsoft Fabric, Azure technologies, and modern engineering practices, you'll help deliver scalable, secure, and high-performing data solutions for our clients. About HSO At HSO, we're ...

... 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 Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies ...

Implement and manage Azure services such as Data Factory, Synapse Pipelines, Storage Accounts, and Key Vault. * Automate deployments using CI/CD pipelines (Azure DevOps, GitHub Actions, or equivalent)

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

AI Data Engineer

Cleveland, OH

$111K - $133K/yr

POSITION SUMMARY Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data ... Azure, or Google Cloud) PREFERRED QUALIFICATIONS Experience supporting machine learning or AI ...

New

Data Governance- Manager

Cleveland, OH · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

... and Azure Data Factory to enhance data engineering capabilities - Applying data architecture development and database management skills to optimize data solutions - Leveraging Apache Airflow and ...

Data Quality Engineer

Macedonia, OH · On-site

$103K - $124K/yr

The Data Quality Engineer owns the implementation and continuous improvement of data quality across ... Experience working with data pipelines and transformation tools (Azure Data Factory preferred)

Data Quality Engineer

Macedonia, OH · On-site

$103K - $124K/yr

The Data Quality Engineer owns the implementation and continuous improvement of data quality across ... Experience working with data pipelines and transformation tools (Azure Data Factory preferred)

Data Quality Engineer

Macedonia, OH · On-site

$103K - $124K/yr

Description The Data Quality Engineer owns the implementation and continuous improvement of data ... Experience working with data pipelines and transformation tools (Azure Data Factory preferred)

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Showing results 1-20

Azure Data Engineer information

See Kent, OH salary details

$40.6K

$118.3K

$161.8K

How much do azure data engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for azure data engineer in Kent, OH is $118,276.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,400.00 and $125,400.00 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?

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 is an Azure Data Engineer?

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.

Is an Azure Data Engineer a good career?

An Azure Data Engineer is a valuable role focused on designing and implementing data solutions using Microsoft Azure cloud services. It typically requires skills in data modeling, SQL, and tools like Azure Data Factory and Databricks, with certifications such as Microsoft Certified: Azure Data Engineer Associate enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data management and analytics.
What are popular job titles related to Azure Data Engineer jobs in Kent, OH? For Azure Data Engineer jobs in Kent, OH, the most frequently searched job titles are:
What job categories do people searching Azure Data Engineer jobs in Kent, OH look for? The top searched job categories for Azure Data Engineer jobs in Kent, OH are:
What cities near Kent, OH are hiring for Azure Data Engineer jobs? Cities near Kent, OH with the most Azure Data Engineer job openings:
Infographic showing various Azure Data Engineer job openings in Kent, OH as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $118,276 per year, or $56.9 per hour.

Data Engineer

HSO Group B.V.

Macedonia, OH • Hybrid

$103K - $124K/yr

Full-time

Medical, PTO

Posted 9 days ago


Job description

At HSO, we're looking for a proactive and skilled Data Engineer to join our growing team. In this role, you'll design, build, and optimize modern data platforms that enable organizations to unlock the full value of their data. Working with Microsoft Fabric, Azure technologies, and modern engineering practices, you'll help deliver scalable, secure, and high-performing data solutions for our clients. 

About HSO 

At HSO, we're more than a global IT consultancy, we're a catalyst for innovation and growth. With over 2,800 professionals across 30+ countries, we help organizations transform their businesses through the power of Microsoft technologies. 

As a Microsoft Gold Certified Partner since 2002 and a proud member of the Microsoft Dynamics Inner Circle (top 1% of partners globally), we bring deep expertise in Dynamics 365, the Azure cloud platform, Data & AI, and our own industry-specific solutions. 

Key Responsibilities 

  • 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, Microsoft Fabric, and Azure Data Factory. 
  • Develop and support ETL/ELT processes, data integration workflows, and orchestration solutions. 
  • Work with structured and unstructured data from multiple sources. 
  • Implement and maintain data models that support reporting, analytics, and AI workloads. 
  • Ensure data quality, governance, security, and compliance across data platforms. 
  • Monitor, troubleshoot, and optimize data pipelines, workflows, and platform performance. 
  • Collaborate with consultants, architects, and client stakeholders to deliver business-driven data solutions. 
  • Leverage AI-assisted development tools such as GitHub Copilot and Microsoft Copilot to improve productivity and code quality. 
  • Contribute to the continuous improvement of engineering standards, best practices, and technical documentation. 
  • Support CI/CD processes and automated deployment of data solutions. 

Requirements 

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. 
  • 3+ years of experience in data engineering. 
  • Hands-on experience with Microsoft Fabric (required). 
  • Strong programming skills in Python and PySpark
  • Strong knowledge of SQL and data modelling principles. 
  • Experience designing and building modern data pipelines and ETL/ELT processes. 
  • Experience with Azure Data Factory (ADF) and data integration solutions. 
  • Experience with Azure data technologies and cloud-based data platforms. 
  • Familiarity with Data Lake, Lakehouse, and Data Warehouse concepts. 
  • Experience with Git, CI/CD pipelines, and DevOps practices. 
  • Experience using AI-assisted development tools such as GitHub Copilot, Microsoft Copilot, or similar solutions. 
  • Strong analytical and problem-solving skills. 
  • Excellent communication skills and the ability to work in a collaborative, international environment. 

What We Offer 

  • Competitive Compensation & Bonus aligned with your experience and performance. 
  • Private Healthcare Insurance to support your well-being. 
  • Flexible Hybrid Work Model for better work-life balance. 
  • Global Exposure: Collaborate with international teams on large-scale projects for leading corporations. 
  • Learning & Development: Access Tech Updates sessions, team events, the Microsoft Learning Platform, free Microsoft certification exams, and tailored training programs to support your career and certification goals. 
  • Sports Subscription: Stay active with a Sportmaster subscription. 
  • Vacation Days: Recharge and unwind with 23 days of paid vacation. 
  • Career Growth Opportunities: Develop your expertise within a global Microsoft partner and collaborate with experienced professionals across international teams. 
  • Cutting-Edge Technology: Work with Microsoft Fabric, Azure Data Factory, AI-powered tools, and modern data engineering practices to deliver impactful solutions. 
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