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Java Data Engineer Jobs in Ohio (NOW HIRING)

ComResource

Data Engineer

Cincinnati, OH

$109K - $131K/yr

Understanding of backend programming (e.g., Java, J2EE). * Analytical mindset with strong ... Familiarity with modern data tools like Snowflake and DBT. Req ID: CG45089758

Smart Data

2245 Data Engineer III

Cincinnati, OH · On-site

$110K - $123K/yr

Data Engineer III Location: Cincinnati, OH Years of Experience: 5+ TOP SKILLS: Must Have * 4+ years ... back end language (Java, J2EE, etc) What You'll Get SDS, Inc. provides equal employment ...

Synergy

Palantir Data Engineer

Perrysburg, OH · On-site +1

$107K - $129K/yr

Strong programming knowledge in Python and SQL (Java or C++ is a plus). Experience with Palantir Foundry platform and its core modules. Hands-on expertise in data engineering, pipeline development ...

SynergisticIT

Jr. Java Programmer (Remote)

Toledo, OH · On-site

... engineer, data scientist, and ML/AI programmer paths. This opportunity is ideal for candidates who ... We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts ...

MDT Technical

Data Engineer III

Cincinnati, OH · On-site

$109K - $131K/yr

Data Engineer III (Onsite) Primary Location: Cincinnati, Ohio V-Soft Consulting is currently hiring ... Experience programming and/or architecting a back-end language (Java, J2EE, etc.). WHAT YOU'LL DO:

V-Soft Consulting Group Inc

Data Engineer III

Cincinnati, OH · On-site

$109K - $132K/yr

Data Engineer III (Onsite) Primary Location: Cincinnati, Ohio V-Soft Consulting is currently hiring ... Experience programming and/or architecting a back-end language (Java, J2EE, etc.). WHAT YOU'LL DO:

BC Forward

Data Engineer III

Cincinnati, OH · On-site

$67 - $73/hr

Experience programming and architecting back-end solutions in languages such as Java or J2EE. Knowledge of data mining practices, algorithms, and applied data usage. Preferred Skills: Experience ...

Eliassen Group

Data Engineer

Cincinnati, OH · On-site

$32 - $38/hr

The role requires knowledge of data mining practices, algorithms, and practical uses of data. Due ... Experience programming and/or architecting a back-end language such as Java or J2EE. Education ...

Eliassen Group

Data Engineer

Cincinnati, OH · On-site

$32 - $38/hr

The role requires knowledge of data mining practices, algorithms, and practical uses of data. Due ... Experience programming and/or architecting a back-end language such as Java or J2EE. Education ...

Anduril Industries

Security Data Engineer

Ashville, OH · On-site

$129K - $220K/yr

Familiarity with data lake architectures and best practices for security data management ... Strong programming skills in one or more general-purpose languages (Go, Rust, Java/Scala, etc.

84.51°

Senior Data Engineer (P4533)

Cincinnati, OH · On-site

$117K - $155K/yr

... or Java * Full understanding of ETL concepts and Data Warehousing concepts * Experience with ... Experience with DevOps / Monitoring & Reliability * Experience with Structured Streaming (Spark or ...

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All JobsJava Data Engineer JobsJava Data Engineer Jobs in Ohio

Java Data Engineer information

See Ohio salary details

$25

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How much do java data engineer jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for java data engineer in Ohio is $57.44, according to ZipRecruiter salary data. Most workers in this role earn between $47.31 and $64.90 per hour, depending on experience, location, and employer.

What is a Java Data Engineer?

A Java Data Engineer is a technology professional who designs, develops, and maintains data processing systems using Java programming language. They work with large datasets, build data pipelines, and ensure the efficient movement, transformation, and storage of data. Java Data Engineers often collaborate with data scientists, analysts, and other engineers to support data-driven decision-making in organizations. Their expertise typically includes Java, SQL, big data technologies like Hadoop or Spark, and cloud platforms. They play a crucial role in enabling reliable and scalable data infrastructure for businesses.

What is the difference between Java Data Engineer vs Python Data Engineer?

AspectJava Data EngineerPython Data Engineer
Required CredentialsBachelor's in Computer Science, Java certificationsBachelor's in Computer Science, Python certifications
Work EnvironmentBig data platforms, Java-based toolsData analysis, scripting, Python-based tools
Employer & Industry UsageFinancial services, enterprise systemsTech startups, data science projects
Common Search & ComparisonYesYes

Java Data Engineers and Python Data Engineers often share similar roles in data processing and engineering. The main difference lies in the programming languages used: Java is common in large-scale enterprise environments, while Python is favored for data analysis and scripting. Both roles require strong programming skills, but their toolsets and typical applications differ based on industry needs.

What are the most common challenges faced by Java Data Engineers when working with large-scale data pipelines?

Java Data Engineers often encounter challenges with optimizing the performance and scalability of data pipelines, especially as data volumes grow. They must ensure data integrity and consistency while managing distributed systems and integrating with various data sources. Debugging issues in real-time data processing and maintaining efficient, fault-tolerant code are also key hurdles. Collaborating closely with data scientists, database administrators, and DevOps teams is essential to overcome these challenges and deliver reliable data solutions.

What are the key skills and qualifications needed to thrive as a Java Data Engineer, and why are they important?

To thrive as a Java Data Engineer, you need strong programming skills in Java, a solid understanding of data structures, SQL, and experience with big data frameworks, often supported by a degree in computer science or a related field. Familiarity with data processing tools like Apache Spark, Hadoop, Kafka, and experience with cloud data platforms (e.g., AWS, GCP) or relevant certifications are typically required. Analytical thinking, problem-solving ability, and effective communication are crucial soft skills for collaborating with teams and interpreting data requirements. These capabilities are essential for building reliable, scalable data solutions that support business intelligence and analytics needs.
What are popular job titles related to Java Data Engineer jobs in Ohio? For Java Data Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Java Data Engineer jobs in Ohio look for? The top searched job categories for Java Data Engineer jobs in Ohio are:
Java Data Engineer jobs near you
Infographic showing various Java Data Engineer job openings in Ohio as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $119,485 per year, or $57.4 per hour.
Data Engineer

Data Engineer

ComResource

Cincinnati, OH

$109K - $131K/yr

Full-time

Posted 4 days ago

Job description

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 requires a technical professional who can also act as a subject matter expert (SME) for business logic around FDIC 370.

Responsibilities:

  • Design, construct, install, test, and maintain data management systems.
  • Build high-performance algorithms, predictive models, and prototypes.
  • Ensure systems meet both business requirements and industry standards.
  • Integrate modern data technologies into existing data structures.
  • Develop processes for data mining, modeling, and production.
  • Create custom software components and analytics applications.
  • Research and propose new uses for existing data.
  • Employ a variety of tools and languages to connect systems.
  • Collaborate with data architects, IT, and data scientists to achieve project goals.
  • Implement and update disaster recovery procedures.
  • Recommend ongoing improvements for data reliability and quality.

Essentials:

  • Technical degree or relevant work experience.
  • Strong SQL skills—this is a SQL-heavy role.
  • Experience with relational and non-relational databases (e.g., SQL, MySQL, NoSQL, Hadoop, MongoDB).
  • Understanding of backend programming (e.g., Java, J2EE).
  • Analytical mindset with strong communication skills.
  • Business logic understanding for FDIC 370 compliance.
  • Driven, curious, and positive attitude.

Desired:

  • Experience with IBM DB2 and DataStage.
  • Familiarity with modern data tools like Snowflake and DBT.

Req ID: CG45089758