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Java Data Engineer Jobs Near Me

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.

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.

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 ...

Tror AI for everyone

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 ...

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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 the United States is $60.42, according to ZipRecruiter salary data. Most workers in this role earn between $49.76 and $68.27 per hour, depending on experience, location, and employer.
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Java Data Engineer jobs near you
A map of the United States highlighting the number of Java Data Engineer job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Java Data Engineer job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Senior Java Developer - Spark - Onsite

Saransh Inc

Columbus, OH • On-site

$55.25 - $70.50/hr

Contractor

Posted 4 hours 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.