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Java Data Engineer Jobs in Ohio (NOW HIRING)

adorsys GmbH & Co. KG

$125 - $150/hr

Als Senior Professional Fullstack-Data-Engineer wirst du in unserer Tribe-Organisation stetig ... Häufig verwenden unsere Kunden und Projekte u.a. die Technologien Java / SpringBoot, JavaScript ...

Omega Solutions, Inc.

Java with Big data

Columbus, OH · On-site

$60.75 - $82/hr

Job Summary : Omega Solutions, Inc. is seeking a Java with Big Data developer for a long-term position in the banking sector. The role requires a strong background in application and data ...

Prophecy Technologies

Java Lead Developer

Mason, OH · On-site

Java Lead Developer Location: Mason, OH (Hybrid) Duration: 12+ Months Requirements: • Java ... Support CI/CD, release activities, and production troubleshooting. • Data Stores Design and ...

Collabera Digital

Java Developer

Columbus, OH · On-site

$110K - $140K/yr

... data, experience design, software product engineering, and workforce transformation. Powered by ... Java Developer Location: Manhattan, NY or Plano, TX or Columbus, OH or Wilmington, DE or Jersey ...

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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 Sep 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 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 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:

What cities in Ohio are hiring for Java Data Engineer jobs?

Cities in Ohio with the most Java Data Engineer job openings:

Java Data Engineer jobs near you
Infographic showing various Java Data Engineer job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $119,485 per year, or $57.4 per hour.

Data Engineer (AWS, Azure, GCP)

Columbus, OH • On-site

CapTech Consulting
IT Services • 501 - 1,000 employees
Learn more about CapTech Consultingexternal

$110K - $132K/yr

Full-time

Medical, Retirement, PTO

Re-posted 4 days ago

Job description

Company Description
CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.
Job Description
CapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sources in order to enable decision-makers. We build pipelines and prepare data for use by data scientists, data analysts, and other data systems. We love solving problems and providing creative solutions for our clients. Cloud Data Engineers leverage the client's cloud infrastructure to deliver this value today and to scale for the future. We enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients.
Specific responsibilities for the Data Engineer - Cloud position include:
  • Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • Advising clients on specific technologies and methodologies for utilizing cloud resources to efficiently ingest and process data quickly
  • Utilizing your skills in engineering best practices to solve complex data problems
  • Collaborating with end users, development staff, and business analysts to ensure that prospective data architecture plans maximize the value of client data across the organization.
  • Articulating architectural differences between solution methods and the advantages/disadvantages of each

Qualifications
Typical experience for successful candidates includes:
  • Experience delivering solutions on a major cloud platform
  • Ability to think strategically and relate architectural decisions/recommendations to business needs and client culture
  • Experience in the design and implementation of data architecture solutions
  • A wide range of production database experience, usually including substantial SQL expertise, database administration, and scripting data pipelines
  • Ability to assess and utilize traditional and modern architectural components required based on business needs.
  • A demonstrable ability to deliver production data pipelines and other data products. This could be hands on experience, degree, certification, bootcamp, or other learning.

Skills:
Successful candidates usually have demonstrable experience with technologies in some of these categories:
  • Languages: SQL, Python, Java, R, C# / C++ / C
  • Database: SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle
  • DevOps: git, docker, subversion, Kubernetes, Jenkins
  • Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR
  • Popular Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer

Additional Information
We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs.
  • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
  • Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
  • Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs
  • Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care
  • Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
  • Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
  • Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities.
  • 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness

CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.
At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

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