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Data Engineer Jobs in Cleveland, OH (NOW HIRING)

Data Engineer

Cleveland, OH · On-site

$110K - $133K/yr

Data Engineer -Cleveland, oh Onsite We are looking for a Data Engineer to design, build, and maintain scalable data pipelines and data infrastructure. The ideal candidate will work closely with data ...

Data Engineer

Macedonia, OH · Hybrid

$103K - $124K/yr

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 ...

AI Data Engineer

Cleveland, OH

$111K - $133K/yr

POSITION SUMMARY Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure that powers machine learning and AI systems. In this role, you will work closely with ...

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

POSITION SUMMARY Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure that powers machine learning and AI systems. In this role, you will work closely with ...

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

POSITION SUMMARY Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure that powers machine learning and AI systems. In this role, you will work closely with ...

Data Engineer

Cleveland, OH · On-site

$110K - $133K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

GCP Data Engineer

Brooklyn, OH · On-site

$107K - $129K/yr

GCP Data Engineer Location: Brooklyn, OH Fulltime position Onsite position JD: * GCP Data Engineer * Experience: * Realtime and batch data integration development experience using GCP services.

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 ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Data Engineer II

Lakewood, OH · On-site

$103K - $123K/yr

The Data Engineer II will play a vital role in our Data transformation journey - helping move the organization toward a future state where decision-makers have the right data, in real time, when they ...

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 in our data engineering consulting team. In this role, you will serve as the technical cornerstone ...

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 in our data engineering consulting team. In this role, you will serve as the technical cornerstone ...

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 in our data engineering consulting team. In this role, you will serve as the technical cornerstone ...

Senior Data Engineer

Hudson, OH · On-site

$96K - $131K/yr

About the Job Opportunity The Senior Data Engineer plays a leading role in modernizing our enterprise data platform as we transition from legacy systems (DB2, Talend) to a cloud-native stack built on ...

Project - Data Engineer II

Cleveland, OH · On-site

$111K - $133K/yr

As an experienced Data Engineer - Project Delivery Senior Analyst, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If ...

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Showing results 1-20

Data Engineer information

See Cleveland, OH salary details

$43.2K

$125.8K

$172.1K

How much do data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data engineer in Cleveland, OH is $125,803.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $133,400.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
What are the most commonly searched types of Data Engineer jobs in Cleveland, OH? The most popular types of Data Engineer jobs in Cleveland, OH are:
What are popular job titles related to Data Engineer jobs in Cleveland, OH? For Data Engineer jobs in Cleveland, OH, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Cleveland, OH look for? The top searched job categories for Data Engineer jobs in Cleveland, OH are:
What cities near Cleveland, OH are hiring for Data Engineer jobs? Cities near Cleveland, OH with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Cleveland, OH as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 66% In-person, 17% Hybrid, and 17% Remote job distribution, with an average salary of $125,803 per year, or $60.5 per hour.

Data Engineer

USG, Inc.

Cleveland, OH • On-site

$110K - $133K/yr

Other

Posted 7 days ago


USG rating

8.5

Company rating: 8.5 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

31st of 538 rated manufacturers


Job description

Data Engineer -Cleveland, oh Onsite

We are looking for a Data Engineer to design, build, and maintain scalable data pipelines and data infrastructure. The ideal candidate will work closely with data analysts, data scientists, and software engineers to ensure reliable, high-quality data is available for analytics and business intelligence.

Key Responsibilities

  • Design, develop, and maintain ETL/ELT data pipelines.
  • Build and optimize data ingestion processes from multiple data sources.
  • Develop and maintain data warehouses, data lakes, and databases.
  • Ensure data quality, integrity, and consistency across systems.
  • Optimize SQL queries and database performance.
  • Collaborate with data analysts, data scientists, and business stakeholders.
  • Monitor, troubleshoot, and resolve data pipeline issues.
  • Implement data security, governance, and compliance best practices.
  • Create technical documentation for data architecture and processes.
  • Support cloud-based data platforms and modern data engineering solutions.

Required Skills

  • Strong SQL programming skills.
  • Python, Java, or Scala programming experience.
  • Experience with ETL/ELT tools.
  • Knowledge of data warehousing concepts.
  • Experience with relational and NoSQL databases.
  • Understanding of data modeling techniques.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with Apache Spark, Hadoop, or Kafka is a plus.
  • Knowledge of Git and CI/CD practices.

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