1

Data Engineer Jobs in Hamilton, OH (NOW HIRING)

Azure Data Engineer (Python & AI/ML)

Cincinnati, OH · On-site

$111K - $134K/yr

ClifyX is a company specializing in data solutions, and they are seeking an Azure Data Engineer with expertise in Python and AI/ML. The role focuses on leveraging Microsoft Azure data services to ...

Senior Data Engineer

Cincinnati, OH · On-site

$101K - $138K/yr

SENIOR DATA ENGINEER Location: Cincinnati, OH - Onsite Contract Interview: onsite interview for the final round (12+ yrs exp) skilled in Azure, Databricks, Unity Catalog, Delta Tables, and Data Lake ...

Our client is currently seeking a Data Engineer Level 2 Required Skills * 3+ years of applied data science experience, with demonstrated progression in scope and technical complexity * Hands-on ...

Our data engineers use PySpark/Python, Databricks, and other data engineering technologies and visualization tools to deliver data capabilities and services to our scientists, products, and tools.

Senior Data Engineer

Blue Ash, OH · On-site

$97K - $132K/yr

Azure Data Lake (Gen 2) Azure Databricks SQL Unity Catalog Alation Power BI Terraform GitHub Actions Interviews: First round with HM 30 min, second round panel with Tech lead, PM and another Engineer ...

Senior Data Engineer

Cincinnati, OH · On-site

$101K - $138K/yr

Support programming/software development using Extract, Transform, and Load (ETL) and Extract, Load and Transform (ELT) tools, (dbt, Azure Data Factory, SSIS); * Design, develop, enhance and support ...

Senior Data Engineer

Cincinnati, OH · On-site

$101K - $138K/yr

Support programming/software development using Extract, Transform, and Load (ETL) and Extract, Load and Transform (ELT) tools, (dbt, Azure Data Factory, SSIS); * Design, develop, enhance and support ...

Data Engineer (AI) - Cincinnati

Cincinnati, OH · On-site +1

$109K - $132K/yr

Collect, analyze and document user requirements working with AI engineers to align data sources to downstream integration within systems; * Create software applications that support the understanding ...

Senior Data Engineer

Cincinnati, OH · On-site

$101K - $138K/yr

A client with Kforce is seeking a Senior Data Engineer in Cincinnati, OH. Summary: This role involves building scalable data pipelines, optimizing data movement processes, supporting data warehouse ...

AI Software/ Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

They are seeking a versatile AI Software Engineer to bridge AI initiatives with production engineering, focusing on building data pipelines and operationalizing AI features. Responsibilities : • ...

Support programming/software development using Extract, Transform, and Load (ETL) and Extract, Load and Transform (ELT) tools, (dbt, Azure Data Factory, SSIS); * Design, develop, enhance and support ...

Support programming/software development using Extract, Transform, and Load (ETL) and Extract, Load and Transform (ELT) tools, (dbt, Azure Data Factory, SSIS); * Design, develop, enhance and support ...

Senior Data Engineer

Cincinnati, OH · On-site

$103K - $140K/yr

They are seeking a Senior Data Engineer to design cutting edge analytic solutions, optimize data architecture, and work with various stakeholders to improve data infrastructure. Responsibilities ...

AI & Data Careers Event

Cincinnati, OH

$109K - $132K/yr

Data Engineer - IT * Utilize skills in development areas including data warehousing, business intelligence, and databases (Snowflake, ANSI SQL, SQL Server, T-SQL); * Support programming/software ...

Showing results 41-60

Data Engineer information

See Hamilton, OH salary details

$41.5K

$120.8K

$165.3K

How much do data engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data engineer in Hamilton, OH is $120,825.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

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.

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.

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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. 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 or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

What are the most commonly searched types of Data Engineer jobs in Hamilton, OH?

The most popular types of Data Engineer jobs in Hamilton, OH are:

What are popular job titles related to Data Engineer jobs in Hamilton, OH?

For Data Engineer jobs in Hamilton, OH, the most frequently searched job titles are:

What job categories do people searching Data Engineer jobs in Hamilton, OH look for?

The top searched job categories for Data Engineer jobs in Hamilton, OH are:

What cities near Hamilton, OH are hiring for Data Engineer jobs?

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

Infographic showing various Data Engineer job openings in Hamilton, OH as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $120,825 per year, or $58.1 per hour.

Azure Data Engineer (Python & AI/ML)

ClifyX

Cincinnati, OH • On-site

$111K - $134K/yr

Full-time

Re-posted 23 days ago


Job description

Job Summary:
ClifyX is a company specializing in data solutions, and they are seeking an Azure Data Engineer with expertise in Python and AI/ML. The role focuses on leveraging Microsoft Azure data services to build and optimize data platforms.
Qualifications:
Required:
• 10+ years of experience in Data Engineering / Data Platforms
• Strong hands-on experience with Microsoft Azure data services: Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage (ADLS Gen2)
• Advanced proficiency in Python (data processing, scripting, automation)
• Strong experience with SQL and data modeling concepts
• Experience working with Big Data technologies (Spark, PySpark)
• Exposure to AI/ML workflows, feature engineering, and data preparation for ML models
• Experience with CI/CD pipelines and version control (Git, Azure DevOps)
• Strong understanding of data architecture, performance tuning, and optimization
• Excellent communication skills and ability to work in a hybrid onsite model
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.

ClifyX logo

About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998