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Java Data Engineer Jobs in Ohio (NOW HIRING)

GOOGLE Data Architect

Columbus, OH · On-site

$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 ...

Security Data Engineer

Ashville, OH · On-site +1

$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.

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 ...

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 ...

Java Microservices Developer

Columbus, OH · On-site

$49.25 - $63.75/hr

Java Microservices Developer Location : Columbus, OH Onsite Duration : 6+ months Roles and ... Utilize Pyspark and Databricks for data processing and analytics. * Ensure the performance, quality ...

Java Developer

Fairfield, OH · Remote

$50 - $60/hr

Java Developer 12-Month Contract Only Location : REMOTE Pay: $50-60/hr (Compensation can vary ... Apply security best practices around authentication, authorization, and data protection, ensuring ...

Familiarity with programming languages such as Python, Java, or .NET * Experience with cloud data platforms (e.g., Azure SQL, AWS RDS) * Knowledge of database security, backup, and recovery ...

Familiarity with programming languages such as Python, Java, or .NET * Experience with cloud data platforms (e.g., Azure SQL, AWS RDS) * Knowledge of database security, backup, and recovery ...

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Java Data Engineer information

See Ohio salary details

$25

$57

$81

How much do java data engineer jobs pay per hour?

As of Jul 8, 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.
GOOGLE Data Architect

GOOGLE Data Architect

Judge Group, Inc.

Columbus, OH • On-site

$75 - $85/hr

Other

Posted 6 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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Contact:
This job and many more are available through The Judge Group. Please apply with us today!