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Java Data Engineer Jobs in Ohio (NOW HIRING)

Java/ Data Engineer

Dayton, OH · On-site

$50.25 - $69/hr

We have partnered with our client in their search for a Java - Data Engineer in Dayton, OH. Responsibilities * * Design, build, test, and maintain Java-based applications and data-processing ...

Data Engineer Level 3

Cincinnati, OH · Hybrid

$109.90K - $132K/yr

We are seeking a seasond Databricks Technical Lead to join our HR Systems Engineering team. This ... Java Data and Security Protocols Basic Qualification : Additional Skills : Background Check : Yes ...

Data Engineer

Columbus, OH · On-site

$107K - $128.50K/yr

Database, SQL proficient * Devops- continuous deployment- Jenkins * Data lake, building data pipeline in Hadoop and AWS services like blue, S3, Athena Nice to have: * c, c++, Java (Nice to have)

Data Engineer - GCP

Dublin, OH · Hybrid

$108.10K - $129.80K/yr

Job Summary The Senior Data Engineer will design, build, optimize, and support enterprise-scale ... Develop pipelines using Java, Python, GCP Dataflow, and Apache Airflow . * Design and implement ...

Data Engineer - GCP

Dublin, OH · On-site

$110.30K - $132.50K/yr

Job Summary The Senior Data Engineer will design, build, optimize, and support enterprise-scale ... Develop pipelines using Java, Python, GCP Dataflow, and Apache Airflow . * Design and implement ...

Data Engineer

Cincinnati, OH · On-site

$109.90K - $131.90K/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

Data Engineer

Cincinnati, OH

$109.90K - $131.90K/yr

ComResource is looking for a Data Engineer. Responsibilities: * Design, development, and support of ... Java, major version control systems, continuous integration/delivery tools, infrastructure ...

Data Engineer III

Cincinnati, OH · On-site

$109.90K - $132K/yr

Business Intelligence - Data Engineering * Experience with non-relational & relational databases ... Experience programming and/or architecting a back-end language (Java, J2EE, etc.) * Technical ...

Data Engineer

Cincinnati, OH · On-site

$109.90K - $132K/yr

Data Engineer General function: The data engineer designs and builds platforms, tools, and ... data warehousing, Java (language and run time environment), major version control systems ...

Data Engineer III

Cincinnati, OH

$109.90K - $132K/yr

Python, Java, or J2EE Job Summary: We are seeking a highly analytical and collaborative Data Engineering Contractor to support a critical data migration initiative within our commercial lending ...

Data Engineer

Cincinnati, OH · On-site

$109.90K - $131.90K/yr

ComResource is looking for a Data Engineer. Responsibilities: * Analyze existing SQL, DataStage ... Python, Java, or J2EE. * 3-5 years of experience building and maintaining data pipelines using ...

Data Engineer

Cincinnati, OH · On-site

$109.90K - $132K/yr

Experience with other programming languages such as Java or Scala is a plus. * Experience with SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB). * Familiarity with big data technologies (e ...

Palantir Data Engineer

Perrysburg, OH · On-site +1

$107.90K - $129.60K/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 ...

Sr. Data Engineer -ACSWGZM32

Columbus, OH · On-site

$107K - $128.50K/yr

Sr. Data Engineer Columbus, OH (look within OH who are interested in relocation) 3 days WFO, 2 days ... Python or Java is required - Must be good with Microservices and API's - THE PREFERENCE TO HIRE IS ...

Proficient in programming languages such as Python, Java, or Scala. * Knowledge of data modeling, ETL processes, and data warehousing concepts in Azure. * Experience with data visualization tools (e ...

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Showing results 1-20

Java Data Engineer information

See Ohio salary details

$25

$57

$81

How much do java data engineer jobs pay per hour?

As of May 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 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 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 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 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:
Infographic showing various Java Data Engineer job openings in Ohio as of May 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $119,485 per year, or $57.4 per hour.
Java/ Data Engineer

Java/ Data Engineer

Korn Ferry

Dayton, OH • On-site

$50.25 - $69/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

We have partnered with our client in their search for a Java - Data Engineer in Dayton, OH.

Responsibilities

  • * Design, build, test, and maintain Java-based applications and data-processing components.
    * Develop reliable Java logic for data validation, transformation, enrichment, processing, and workflow support.
    * Work with modern Java, Maven, JUnit, and related tooling to deliver maintainable production software.
    * Create and maintain automated test suites, including unit tests, integration tests, and performance-oriented tests.
    * Design tests that validate data correctness, end-to-end behavior, failure handling, retry behavior, and performance characteristics.
    * Work with SQL to inspect, query, validate, and troubleshoot data.
    * Support batch-oriented and data-oriented workflows involving structured and semi-structured data.
    * Troubleshoot production issues involving failed jobs, bad input data, data quality issues, slow processing, resource limits, deployment issues, and unexpected system behavior.
    * Support applications running in Azure-hosted environments, including Kubernetes-based deployments.
    * Use logs, metrics, alerts, test output, job output, and source code to diagnose issues.
    * Contribute to CI/CD pipelines, build automation, test automation, and release readiness.
    * Participate in code reviews, design discussions, incident reviews, and technical planning.
    * Collaborate with software engineers, data engineers, analysts, product owners, and operational stakeholders.
    * Improve system reliability, performance, observability, maintainability, and operational supportability.
    * Help define useful metrics, dashboards, alerts, and runbook guidance for production support.

Skills Required

  • 7+ years of professional software engineering experience.
    * Significant hands-on experience building and supporting production systems in Java.
    * Strong recent Java development experience, preferably with modern Java versions such as Java 11 or Java 17.
    * Experience with Maven, dependency management, build lifecycle, and automated software delivery practices.
    * Experience writing automated tests using JUnit and related Java testing tools.
    * Experience creating or maintaining integration test suites for production applications, batch jobs, or data-processing workflows.
    * Familiarity with performance testing concepts, including throughput, latency, resource usage, bottleneck identification, and baseline comparison.
    * Strong understanding of Java fundamentals, object-oriented design, collections, streams, error handling, clean code practices, and maintainable design.
    * Practical experience with data-oriented systems, such as batch processing, file processing, transformation logic, validation workflows, or pipeline support.
    * Working knowledge of SQL, including joins, filters, aggregations, data inspection, and troubleshooting query results.
    * Familiarity with common data formats such as CSV, JSON, XML, or Parquet.
    * Experience supporting software in production or production-like environments.
    * Working knowledge of cloud-hosted application environments, preferably Azure.
    * Familiarity with containers, Kubernetes concepts, deployment configuration, runtime logs, and resource-related troubleshooting.
    * Experience using Git-based development workflows and CI/CD pipelines.
    * Ability to investigate issues independently using logs, metrics, test output, job output, and source code.
    * Strong communication skills, including the ability to explain technical issues clearly to engineering and non-engineering partners.
  • Experience creating or maintaining dashboards, metrics, and alerts in Grafana or similar observability tools.
  • Experience with Azure monitoring, Log Analytics, or cloud-native operational tooling.
  • Experience with Microsoft Fabric.
  • Experience with PowerBI, especially understanding how downstream reporting depends on source data quality.
  • Experience with Databricks, especially workflows involving PySpark.
  • Experience with PySpark or Python-based data processing.
  • Experience working with data lake, blob storage, object storage, or large file processing patterns.
  • Experience tuning batch workloads for throughput, memory usage, retry behavior, and failure recovery.
  • Experience with batch-oriented processing patterns.
  • Experience with performance or load testing tools and frameworks.
  • Experience operating, monitoring, or supporting agent-based workflows in a production or production-like environment.
  • Experience troubleshooting agent execution failures, stale runs, retry loops, malformed inputs, failed tool calls, handoff issues, or degraded agent performance.
  • Experience defining operational guardrails for agents, including logging, metrics, alerting, escalation paths, and failure recovery.
  • Experience with GitHub Actions, Artifactory/JFrog, or similar enterprise build and artifact management tools.
  • Experience with Agile delivery, JIRA, production incident triage, and operational handoffs.

Education & Work Experience

  • Bachelor's Degree or equivalent in related field

Title Java/ Data Engineer

Location Dayton, OH

Client Industry Insurance

Ref ID

About Korn Ferry

Korn Ferry unleashes potential in people, teams, and organizations. We work with our clients to design optimal organization structures, roles, and responsibilities. We help them hire the right people and advise them on how to reward and motivate their workforce while developing professionals as they navigate and advance their careers. To learn more, please visit Korn Ferry at www.Kornferry.com