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Java Data Engineer Jobs in Columbus, OH (NOW HIRING)

Huntington

Data Engineer

Columbus, OH · On-site +1

$63K - $124K/yr

Bachelor's Degree or 4+ additional years of equivalent experience. 3+ years of related experience in IT data engineering and analysis. 1+ years of experience with data solutions leveraging SQL, Java ...

Huntington

Data Engineer

Columbus, OH · On-site +1

$63K - $124K/yr

... Java, Springboot, and/or Python. Preferred Qualifications: * 3-5+ years of IT data engineering and analysis. * Familiarity with big data platforms (Snowflake, AWS, GCP). * Ability to engineer data ...

Huntington

Data Engineer

Columbus, OH · On-site +1

$63K - $124K/yr

Bachelor's Degree or 4+ additional years of equivalent experience. 3+ years of related experience in IT data engineering and analysis. 1+ years of experience with data solutions leveraging SQL, Java ...

GHR Healthcare

Senior Data Engineer

Columbus, OH · On-site

$99K - $134K/yr

Programming experience with Python, Java, Scala, R , or similar languages. * Experience with BI and ... Experience with metadata management, data governance, and/or data modeling tools. * Previous ...

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.

Photon

Java Architect

Columbus, OH · On-site

$58.75 - $79.50/hr

Job Title: Java Architect/ Lead Location: Columbus OH ( 5days onsite) We are looking for an ... Collaborate with product managers, architects, data engineers, ML engineers, and development teams.

Anduril Industries

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.

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All JobsJava Data Engineer JobsJava Data Engineer Jobs in Columbus, OH

Java Data Engineer information

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How much do java data engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for java data engineer in Columbus, OH is $58.36, according to ZipRecruiter salary data. Most workers in this role earn between $48.08 and $65.96 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 are the key skills and qualifications needed to thrive as a Java data engineer?

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 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 Columbus, OH?

For Java Data Engineer jobs in Columbus, OH, the most frequently searched job titles are:

What job categories do people searching Java Data Engineer jobs in Columbus, OH look for?

The top searched job categories for Java Data Engineer jobs in Columbus, OH are:

Java Data Engineer jobs near you
Infographic showing various Java Data Engineer job openings in Columbus, OH as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $121,395 per year, or $58.4 per hour.

Senior Java Developer - Spark - Onsite

Saransh Inc

Columbus, OH • On-site

$55.25 - $70.50/hr

Contractor

Re-posted 22 days ago

Job description

Job Title: Senior Java Developer

Work Location: Columbus, OH

Duration: Long Term 

Job Description

  • Contribute to building brand new data platforms in AWS, using Java and Spark. Be part of a dynamic team, building data solutions in a supportive and hybrid work environment. You will design and implement micro services and data pipelines using Java, Sprint Boot, Kafka, Spark and AWS services. Success in this role requires technical expertise, strong problem-solving skills, and the ability to collaborate effectively within an agile team.

Must Have Tech Skills:

  • Demonstrable experience as a senior data engineer.
  • Expert in Java and Spark, with a deep focus on data transformations, processing and data engineering practices.
  • Expert in micro service implementation using Java, Sprint Boot, Kafka and Kubernetes.
  • Good knowledge on AWS services like EKS, S3, SQS, Lambda, SNS, MSK.
  • Experience in implementing tests using Junit, Mockito, Cucumber and Karate.
  • Good knowledge in performance tuning Spark jobs and micro services.

Nice To Have Tech Skills:

  • Experience in solution architecture and technical design, allowing for the creation of scalable, reliable data architectures that meet both technical and business requirements
  • A master’s degree or equivalent experience or relevant certifications (e.g., AWS Certified Solutions Architect, Certified Data Analytics) is advantageous

Key Accountabilities:

  • Provides guidance on standard methodologies in design, development, and implementation, ensuring solutions meet business requirements and technical standards.
  • Drive the migration of existing data processing workflows to the Lakehouse architecture, using Iceberg capabilities.
  • Communicates complex technical information clearly, tailoring messages to the appropriate audience to ensure alignment.
  • Good ability in debugging, problem solving and performance tuning of micro services and high volume spark applications.

Key Skills:

  • Deep technical knowledge of data engineering solutions and practices. Implementation of data pipelines using Kafka, Spark and AWS services.
  • Highly proficient in Java, Spark and familiar with a variety of development technologies. This knowledge enables the Senior Data Engineer to adapt solutions to project-specific needs.
  • Proficient in creating clear, comprehensive documentation. Ensures that documentation supports technical teams' knowledge and compliance, making it accessible and valuable for future reference
  • Proficient in quality assurance practices, including code reviews, automated testing, and standard methodologies for data validation.
  • Experience in using automation tools and Continuous Integration/Continuous Deployment (CI/CD) pipelines to streamline development, testing, and deployment.