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Java Data Engineer Jobs in Ohio (NOW HIRING)

Hudson Manpower

Data Engineer III

Cincinnati, OH · On-site

$109.90K - $131.90K/yr

Strong programming skills in Python, Java, or J2EE Primary Responsibilities * Design, build, test, and maintain scalable data management systems aligned with migration goals * Collaborate with ...

Genesis10

Entry Level Data Engineer

Columbus, OH · On-site

$60K/yr

Now hiring for our Data Engineer cohort starting in July 2026. To apply, please submit a formal ... Java, Python, C, C#, C , JavaScript, R, SQL, MATLAB, Mathematica, TypeScript, Shell scripting, Go ...

Genesis10

Entry Level Data Engineer

Cincinnati, OH · On-site

$60K/yr

Now hiring for our Data Engineer cohort starting in July 2026. To apply, please submit a formal ... Java, Python, C, C#, C , JavaScript, R, SQL, MATLAB, Mathematica, TypeScript, Shell scripting, Go ...

V-Soft Consulting Group

Data Engineer III

Cincinnati, OH · On-site

$109.90K - $132K/yr

Data Engineer III (Onsite) Primary Location: Cincinnati, Ohio V-Soft Consulting is currently hiring ... Python, Java, or J2EE. * 3-5 years of experience building and maintaining data pipelines using ...

Surya Systems

Lead data Engineer

Dublin, OH · On-site

$96.80K - $127.50K/yr

Lead data Engineer Location: Dublin, Ohio Duration: 6 Months C2H Description : Seeking a Lead Data ... Python, Java, C++, Scala, etc Experience with Enterprise integration and ETL platforms/IPaaS ...

Apex Systems

Data Engineer III

Cincinnati, OH · Remote

$60 - $68/hr

Data Engineer III Location: Cincinnati, OH (Onsite) Length: 6 months Pay Range: $60-$68 Job Summary ... Java, or J2EE * 3-5 years of experience building and maintaining data pipelines using ETL tools (e ...

Elite IT Solutions inc

$45.50 - $58.75/hr

Java Developer Location: Toronto, ON - Hybrid - 4 Days onsite in a week We are seeking a Senior ... Java, Spring, SpringBoot • Experience with big data tools: Kafka, Databricks, Dremio etc. • ...

OPERS

Lead Data Engineer

Columbus, OH · Hybrid

$111.82K - $139.76K/yr

Description Lead Data Engineer - Downtown Columbus, Ohio The Ohio Public Employees Retirement ... A proficiency in programming languages such as Python, Java, JavaScript, etc. * At least 2 years ...

OPERS

Lead Data Engineer

Columbus, OH · Hybrid

$111.82K - $139.76K/yr

Description Lead Data Engineer - Downtown Columbus, Ohio The Ohio Public Employees Retirement ... A proficiency in programming languages such as Python, Java, JavaScript, etc. * At least 2 years ...

Kemper

Senior Data Engineer

Cincinnati, OH

$101.70K - $138.20K/yr

Provide technical leadership to data engineers, setting standards for solution design, coding ... Snowpark (Python/Java/Scala) * Snowflake Warehouses, Databases, Schemas, RBAC * Snowpipe, Tasks ...

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Java Data Engineer information

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$25

$57

$81

How much do java data engineer jobs pay per hour?

As of May 28, 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 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 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 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 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 May 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $119,485 per year, or $57.4 per hour.

Data Engineer III

Hudson Manpower

Cincinnati, OH • On-site

$109.90K - $131.90K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

Job Summary
We are seeking a highly analytical and collaborative Data Engineering Contractor to support a critical data migration initiative within commercial lending, underwriting, and reporting functions.
This role combines technical expertise with business analysis and stakeholder engagement. The contractor will analyze legacy systems (SQL, DataStage, SAS) to identify key data elements, document current data usage, and assess downstream impacts across reporting and regulatory systems.
Location: Cincinnati, OH (Downtown)
Experience: 5+ Years
TOP SKILLS (Must Have)
  • 5+ years of experience with relational & non-relational databases (SQL, Snowflake, DB2, MongoDB)
  • 5+ years of experience analyzing legacy codebases (SQL, DataStage, SAS)
  • Strong programming skills in Python, Java, or J2EE

Primary Responsibilities
  • Design, build, test, and maintain scalable data management systems aligned with migration goals
  • Collaborate with business stakeholders to gather requirements and translate them into technical solutions
  • Integrate modern data technologies into existing data ecosystems
  • Develop and optimize data pipelines for mining, modeling, and production use
  • Build custom software components and analytics applications for commercial lending and risk reporting
  • Recommend improvements to enhance data reliability, quality, and performance
  • Implement and maintain disaster recovery procedures

Qualifications
  • Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience)
  • 5+ years experience analyzing legacy code (SQL, DataStage, SAS) and documenting business logic
  • 5+ years experience with databases (SQL, Snowflake, DB2, MongoDB)
  • 3+ years experience developing backend solutions using Python, Java, or J2EE
  • 3-5 years experience building ETL/data pipelines (DataStage, dbt, or similar tools)
  • 5+ years experience in business analysis & stakeholder engagement
  • Strong communication and interpersonal skills
  • 2+ years experience with cloud platforms (AWS, Azure, or GCP)
  • Financial services / banking experience (commercial lending, underwriting, or regulatory reporting) is a plus
  • Agile experience is a plus
  • Ability to work independently in a fast-paced environment

What You'll Get
  • Competitive base salary
  • Medical, dental, and vision insurance coverage
  • Optional life and disability insurance provided
  • 401(k) with a company match and optional profit sharing
  • Paid vacation time
  • Paid Bench time
  • Training allowance offering
  • You'll be eligible to earn referral bonuses!
  • Analyze existing SQL, DataStage, and SAS code to extract business logic and identify critical data elements
  • Create detailed inventories of current data usage across reporting and operational systems
  • Assess the impact of data migration on downstream processes, reports, and regulatory requirements

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