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Java Data Engineer Jobs in Ohio (NOW HIRING)

Judge Group, Inc.

GOOGLE Data Architect

Columbus, OH · Remote

$75 - $85/hr

... data engineering * Strong experience with Google Cloud Platform tools (BigQuery, Pub/Sub, Dataflow, Bigtable, GKE, etc.) * Expertise in SQL and Python/Java * Experience with large-scale data ...

Samprasoft

Java Developer

Fairfield, OH · On-site

$48 - $62.25/hr

Work with a team of developers to create, maintain and enhance web services and applications using JAVA on the Linux platform with SQL Server and XML data. Work closely with subject matter experts ...

Tekboox

Java developer

Cincinnati, OH · Remote

$45/hr

Java developer Work location: CINCINNATI, OH (Remote) Start date: Immediate availability Visa ... Data, JPA, Java 1.8 , Oracle * Nice to have: Angular 7+ or VueJS

Cynet Systems

Senior Java Developer

Mason, OH · On-site

$53 - $58/hr

Design and optimize data access with Oracle, Aurora MySQL, and MongoDB. * Support ELT pipelines ... Collaborate with data engineering and analytics teams. * Integrate services with existing ML ...

STAFFWORXS

Java Engineer - ACSFRU811

Columbus, OH · On-site

$50 - $68.50/hr

Staffworxs is a company that powers transformation through its Digital & Data Analytics practice, driving growth and innovation for top client brands. They are seeking a Java Engineer with strong ...

Kasmo Global

Java Developer

Powell, OH

$48.50 - $63/hr

... data interchange (DI) applications that obtain documentation (files/data) from the Bureau of ... Programmer 4 for Java The Programmers will work with OIC lead developers and receive direction from ...

GARGI TECHNOLOGIES INC

Java Developer

Ohio City, OH

$48 - $62/hr

Strong command of Core Java and Advanced Java, including functional programming and advanced data structures. * Modern Java Features: Proficiency in Java 8+ features such as Streams, Lambdas ...

Compunnel

Senior Java API / Microservices Developer

Mason, OH · On-site

$53.75 - $68.75/hr

This role focuses on backend engineering, cloud-native application development, data integration, and production support. The ideal candidate will have strong expertise in Java, Spring Boot, AWS ...

ClifyX

Java Developer

Cincinnati, OH

$49 - $63.50/hr

Java Developer Hi Please find the below position with my client and if interested please revert me ... Define the DB data model * Code review and code maintenance * Work with external teams for ...

Centstone

Senior Java Engineer - W2

Columbus, OH · On-site

$120K - $158K/yr

Title: Senior Java Engineer Location: Columbus, OH (Preferred) / Remote Industry: Banking ... Strong expertise in Core Java, JVM, data structures, algorithms, and concurrency * Hands-on ...

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All JobsJava Data Engineer JobsJava Data Engineer Jobs in Ohio

Java Data Engineer information

See Ohio salary details

$25

$57

$81

How much do java data engineer jobs pay per hour?

As of Jun 17, 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 June 2026, with employment types broken down into 2% As Needed, 58% Full Time, 33% Part Time, and 7% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $119,485 per year, or $57.4 per hour.
GOOGLE Data Architect

GOOGLE Data Architect

Judge Group, Inc.

Columbus, OH • Remote

$75 - $85/hr

Other

Posted 15 days ago

Job description

Location: Columbus, OH Salary: $75.00 USD Hourly - $85.00 USD Hourly Description:
No sponsorship or C2C for this role
Must be a w2 employee of The Judge Group
Google Data Architect
Locations: Columbus, OH (4 days onsite, 1 day remote)
Type: 3+ Months Contract to Hire
Overview:
We're looking for a Senior Google Cloud Data Architect to design and lead scalable, cloud-native data platforms on Google Cloud Platform. This role focuses on building enterprise-grade data services, enabling data-as-a-product, and supporting analytics, real-time processing, and AI-driven use cases.
Key Responsibilities:
  • Design and evolve enterprise data architecture on Google Cloud
  • Build scalable batch, streaming, and real-time data pipelines
  • Define standards for data services, APIs, and event-driven architectures
  • Enable secure, governed, and high-quality data delivery
  • Architect data platforms supporting analytics, operational, and AI/ML workloads
  • Develop data models and integration patterns for enterprise-wide consumption
  • Mentor teams and drive best practices in data engineering and architecture

Required Qualifications:
  • 7+ years in data architecture or cloud data engineering
  • Strong experience with Google Cloud Platform tools (BigQuery, Pub/Sub, Dataflow, Bigtable, GKE, etc.)
  • Expertise in SQL and Python/Java
  • Experience with large-scale data pipelines and distributed systems
  • Knowledge of real-time processing and event-driven architecture

Preferred Qualifications:
  • Financial services or high-transaction domain experience
  • Experience with APIs, microservices, and data governance tools
  • Familiarity with DevOps, CI/CD, Terraform
  • Google Cloud Platform certifications (Professional Data Engineer/Cloud Architect)

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This job and many more are available through The Judge Group. Please apply with us today!

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