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

Further

Senior Data Engineer

Cleveland, OH · On-site

$102K - $139K/yr

SENIOR DATA ENGINEER We are looking for a highly skilled and strategic Senior Data Engineer to lead ... Advanced knowledge of cloud-native data suites within GCP (preferred), AWS, or Azure. * Proficiency ...

Further

Senior Data Engineer

Cleveland, OH · Hybrid

$102K - $139K/yr

SENIOR DATA ENGINEER We are looking for a highly skilled and strategic Senior Data Engineer to lead ... Advanced knowledge of cloud-native data suites within GCP (preferred), AWS, or Azure. * Proficiency ...

Stefanini

Data Engineer

Cuyahoga Falls, OH · On-site

$102K - $122K/yr

Data Engineer Location: 3773 State Road, Cuyahoga Falls, OH 44223 Job Summary Qualifications: Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent ...

New

Greenfield Talent

Data Engineer (Remote)

Cleveland, OH · Remote

$111K - $133K/yr

We're looking for a Data Engineer to join our Data & Analytics team and take ownership of the data infrastructure that powers internal analytics, reporting, and operational insights. This is a ...

Penske

Azure Staff Cloud System Engineer

Beachwood, OH · On-site

$53.50 - $71.50/hr

Azure Staff Cloud System Engineer Location: Beachwood, OH. Shift: Monday - Friday 8am - 5pm (Onsite ... You will work closely with our product and data analytics teams to understand their business ...

Penske

Azure Staff Cloud System Engineer

Beachwood, OH

$53.50 - $71.50/hr

Azure Staff Cloud System Engineer Location: Beachwood, OH. Shift: Monday - Friday 8am - 5pm (Onsite ... You will work closely with our product and data analytics teams to understand their business ...

Penske

Azure Staff Cloud System Engineer

Beachwood, OH

$53.50 - $71.50/hr

Azure Staff Cloud System Engineer Location: Beachwood, OH. Shift: Monday - Friday 8am - 5pm (Onsite ... You will work closely with our product and data analytics teams to understand their business ...

Deloitte

AI Engineer Consultant

Cleveland, OH · Hybrid

... Azure/GCP (one or more), including managed data platforms and scalable compute patterns. * 2+ years of experience with structured problem solving, translating business needs into requirements ...

Penske

Staff Data Scientist

Beachwood, OH · On-site +1

Oversee the full model lifecycle: data exploration, feature engineering, model development ... Hands on experience with cloud based ML platforms (AWS, Azure, or GCP) and containerization ...

Penske

Staff Data Scientist

Beachwood, OH · On-site +1

Oversee the full model lifecycle: data exploration, feature engineering, model development ... Hands on experience with cloud based ML platforms (AWS, Azure, or GCP) and containerization ...

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Showing results 21-40

All JobsAzure Data Engineer JobsAzure Data Engineer Jobs in Kent, OH

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 15, 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:

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Cities near Kent, OH with the most Azure Data Engineer job openings:

Azure Data Engineer jobs near you
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 79% In-person, and 21% Remote job distribution, with an average salary of $118,276 per year, or $56.9 per hour.

Senior Data Engineer

Further

Cleveland, OH • On-site

$102K - $139K/yr

Full-time

Re-posted 9 days ago

Job description

WE'RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.
Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients. If this sounds exciting to you, let's chat!
SENIOR DATA ENGINEER
We are looking for a highly skilled and strategic Senior Data Engineer to lead in our data engineering consulting team. In this role, you will serve as the technical cornerstone for our clients, designing and deploying the sophisticated data architectures required to support production-grade Artificial Intelligence and Machine Learning applications. This is a high-impact role where you will set the standards for data quality, modeling, and orchestration across the organization. You will navigate diverse technical environments, and your work will directly enable the transition from experimental AI prototypes to resilient, enterprise-scale systems that deliver measurable business value.
What experience should you have:
  • 6+ years of data engineering experience with a focus on modern cloud platforms.
  • Expert-level proficiency in Python and SQL is mandatory.
  • Strong software engineering background with proficiency in Python for building custom integrations and data tools.
  • Deep production experience with dbt for data modeling and Airflow for orchestration.
  • Advanced knowledge of cloud-native data suites within GCP (preferred), AWS, or Azure.
  • Proficiency in managing environment reproducibility using Terraform and Docker, ensuring pipelines are CI/CD compliant.
  • Expert knowledge of cloud data warehouses (BigQuery or Snowflake) and their internal architecture.
  • Experience with AI workflows and data systems like vector databases, PostgreSQL, Vertex AI, Pub/Sub.

Preferred Qualifications
  • Experience architecting feature stores or data pipelines specifically for ML workloads.
  • The ability to navigate diverse technical environments and corporate cultures while maintaining a high standard of delivery and client satisfaction.
  • A commitment to software engineering best practices, including version control, unit testing, and comprehensive documentation.
  • An analytical thinker who anticipates scaling bottlenecks and security vulnerabilities before they impact production.

What you'll be doing in this role:
  • Architect and build scalable, high-volume ELT/ETL pipelines that ingest complex data sets from diverse client systems, including legacy on-premise databases, ERPs, and third-party APIs, into centralized cloud warehouses.
  • Lead the audit and optimization of existing data workflows, refactoring inefficient queries and data models to significantly reduce latency and operational costs for enterprise-scale environments.
  • Design and implement comprehensive data quality frameworks, ensuring automated testing and validation logic catches anomalies before they reach production models or executive dashboards.
  • Design and implement data pipelines specifically for AI workloads, including the management of vector databases to support Retrieval-Augmented Generation (RAG) and model inference.

What you'll need to accomplish in your first year:
  • Own the roadmap for data platform stability and scalability enhancements, ensuring the infrastructure can support the evolving needs of both corporate IT and AI research teams.
  • Provide technical mentorship to the engineering team, conducting rigorous code reviews and driving improvements in coding standards, documentation, and system reliability.
  • Standardize the organization's approach to the Modern Data Stack (MDS), driving the adoption of best practices in dbt, Airflow (Cloud Composer), and Beam (Dataflow) across diverse client engagements.

Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.
Apply today or check out all our opportunities!
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