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Data Engineer Jobs in Hamilton, OH (NOW HIRING)

Data Engineer

Mason, OH ยท On-site

$52 - $57/hr

Data Engineering Tech Lead (7-10+ Years Experience) Role Overview. * We are seeking an experienced Data Engineering Tech Lead with 7-10+ years of experience to design, build, and lead scalable data ...

Data Engineer

Cincinnati, OH ยท On-site

$111K - $134K/yr

The Data Engineer will work within the Information Technology team to support data engineering tasks and projects crucial for the company's success. Responsibilities : โ€ข Utilize skills in ...

Data Engineer

Cincinnati, OH

$109K - $131K/yr

ComResource is looking for a Data Engineer. We need someone to assist in calculating FDIC insurance at the customer and bank levels using traditional and modern data engineering tools. This role ...

2245 Data Engineer III

Cincinnati, OH

$109K - $132K/yr

Data Engineer III Location: Cincinnati, OH Years of Experience: 5+ TOP SKILLS: Must Have * 4+ years of Snowflake * Business Intellgience - Data Engineering * Data Build Tool (DBT) for Development ...

Senior Data Engineer

Cincinnati, OH

$101K - $138K/yr

Sr. Data Engineer for Cincinnati OH Will work on the projects from inception to end using Azure cloud technologies like PySpark, Spark SQL, Azure Data Lake Storage, Azure Data Factory, Azure SQL ...

Jr Data Engineer

Cincinnati, OH ยท On-site

$30 - $32/hr

Junior Data Engineer Downtown Cincinnati Hybrid Role $27 - $38 per hour ABOUT THE ROLE Our client is seeking a highly motivated, detail-oriented Junior Data Engineer to join their dynamic team in ...

New

Data Engineer

Cincinnati, OH ยท On-site

$109K - $132K/yr

Job Summary Our corporate activities are growing rapidly, and we are currently seeking a full-time, office-based Data Engineer to join our Information Technology team. This position will work on a ...

Azure Data Engineer

Cincinnati, OH ยท On-site

$111K - $134K/yr

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 ...

Data Engineer

Mason, OH ยท On-site

$55 - $60/hr

Pay Range: $55/hr - $60/hr Requirement/Must Have: * 7+ years of experience in Data Engineering or related roles. * Strong hands-on experience with Snowflake (SnowSQL, Snowpipe, Streams, Tasks, Data ...

Data Engineer

Covington, KY ยท On-site

$111K - $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 ...

DATA ENGINEER IV

Cincinnati, OH ยท On-site

$68 - $70/hr

Data Engineer IV Location: Cincinnati, OH - onsite Payrate $70/hr on W2. USC and GC Holder candidates only. TOP SKILLS: Must Have Python SQL Nice To Have AWS Sagemaker DBT Snowflake What You'll Do ...

Data Engineer

Cincinnati, OH ยท On-site

$32 - $38/hr

Integrate new data management and software engineering technologies into existing data structures. * Develop processes for data mining, data modeling, and data production. * Create custom software ...

Data Engineer

Cincinnati, OH ยท On-site +1

$109K - $132K/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

Fairfield, OH ยท Remote

$55 - $60/hr

Data Engineer Location: Cincinnati, Ohio Type: Contract To Hire Compensation: $55-60 Work Model: Remote - offsite Hours: 40.0 Security Clearance: (not specified) Overview NO C2C ONLY W2 cannot work ...

Data Engineer

Cincinnati, OH ยท On-site

$32 - $38/hr

Integrate new data management and software engineering technologies into existing data structures. * Develop processes for data mining, data modeling, and data production. * Create custom software ...

Data Engineer

Fairfield, OH ยท Remote

$55 - $60/hr

Data Engineer Location: Cincinnati, Ohio Type: Contract To Hire Compensation: $55-60 Work Model: Remote - offsite Hours: 40.0 Security Clearance: (not specified) Overview NO C2C ONLY W2 cannot work ...

Data Engineer

Cincinnati, OH

$109K - $131K/yr

The Data Engineer consultant role is an incredibly exciting position in the fastest growing segment of AMEND. You will be working to solve real-world problems by designing cutting edge analytic ...

Data Engineer

Fairfield, OH ยท Remote

$55 - $60/hr

Data Engineer Location: Cincinnati, Ohio Type: Contract To Hire Compensation: $55-60 Work Model: Remote - offsite Hours: 40.0 Security Clearance: (not specified) Overview NO C2C ONLY W2 cannot work ...

Data Engineer III

Cincinnati, OH ยท On-site

$109K - $131K/yr

Data Engineer III (Onsite) Primary Location: Cincinnati, Ohio V-Soft Consulting is currently hiring for a Data Engineer III for our premier client in Cincinnati, Ohio . Education and Experience

Data Engineer III

Cincinnati, OH ยท On-site

$109K - $132K/yr

Data Engineer III (Onsite) Primary Location: Cincinnati, Ohio V-Soft Consulting is currently hiring for a Data Engineer III for our premier client in Cincinnati, Ohio. Education and Experience ...

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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 Jul 30, 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.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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 are Data Engineers?

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.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
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 July 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $120,825 per year, or $58.1 per hour.

Data Engineer

CYNET SYSTEMS

Mason, OH โ€ข On-site

$52 - $57/hr

Contractor

Re-posted 25 days ago


Job description

Job Overview:
ย 
Pay Range:ย $52hr - $57hr
  • Data Engineering Tech Lead (7-10+ Years Experience) Role Overview.
  • We are seeking an experienced Data Engineering Tech Lead with 7-10+ years of experience to design, build, and lead scalable data engineering solutions across enterprise platforms.
  • The ideal candidate will be responsible for architecting data pipelines, leading engineering teams, collaborating with business and cross-functional IT teams, and delivering high-quality data platforms, analytics, and reporting solutions.
Responsibilities:
  • Data Engineering &ย Architectureย Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.
  • Build robust data ingestion frameworks for structured and unstructured data sources.
  • Architect and implement data lakes, data warehouses, and data marts.
  • Ensure high performance, scalability, and reliability of data systems Pipeline & Data Platform Development Develop and optimize batch and real-time data processing pipelines.
  • Work with modern tools such as Airflow, AWS Glue, Azure Data Factory, PySpark, orย equivalentย Implement data validation, monitoring, and quality frameworks.
  • Enable integration across upstream and downstreamย systemsย Database & Dataย Modelingย Design and maintain SQL and NoSQL databases (e.g., MongoDB, relational systems).
  • Develop complex SQL queries, stored procedures, and performance tuningย strategiesย Implement data models (dimensional, star/snowflake schemas).
  • Ensure data consistency, integrity, andย governanceย Cloud & Dataย Ecosystemย Design and manage cloud-based data platforms (AWS / Azure /ย GCP)ย Implement CI/CD pipelines for data engineering workflows.
  • Ensure availability, scalability, and reliability of dataย environmentsย Leadership & Technical Mentoring Lead and mentor a team of Data Engineers andย Developersย Guide best practices, coding standards, and performanceย optimizationย Conduct code reviews, design reviews, and technical decision-making.
  • Foster a culture of continuous improvement and innovation.
  • Agile Delivery & Stakeholder Collaboration Work within Scrum/Agile teams, participating in sprint planning, reviews, and retrospectives.
  • Collaborate with Product Owners, Business Analysts, andย Architectsย Work closely with cross-functional IT teams to deliver end-to-end data solutions.
  • Translate business needs into technical data solutions and architectureย designsย Data Quality, Governance &ย Complianceย Implement frameworks for data quality, validation, and monitoring.
  • Ensure compliance with enterprise data governance and securityย standardsย Support regulatory and audit requirements where applicable.
Required Skills and Experience:
  • 7-10+ years of experience in Data Engineering / Data Platforms Strong expertise in: SQL and NoSQL databases (e.g., MongoDB) ETL/ELT pipelines and data integration.
  • Data warehousing and data modeling concepts.
  • Experience with big data and distributed systems (Spark, Hadoop, etc.) Hands-on experience with cloud platforms (AWS/Azure/GCP).
  • Experience with workflow orchestration tools (Airflow, ADF, etc.) Strong knowledge of CI/CD and DevOps for data pipelines.
  • Proven experience in leading and mentoring engineering teams.
Preferred Skills:
  • Experience in Healthcare / Insurance / Data Analytics platforms.
  • Exposure to real-time streaming frameworks (Kafka, Kinesis, etc.).
  • Experience in data governance and data quality frameworks.
  • Familiarity with API integrations and microservices architecture.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asiaโ€”ensuring speed, quality, and consistency in every hire.

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About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

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