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Ibm Data Engineer Jobs in Ohio (NOW HIRING)

Data Engineer III

Cincinnati, OH · On-site

$50 - $54/hr

Maintain and modernize IBM DataStage ETL processes * Integrate data from multiple enterprise ... Collaborate with Data Architects, BI Developers, and business stakeholders * Support disaster ...

Data Engineer II

Cincinnati, OH · On-site

$86K - $96K/yr

IBM Db2 * Snowflake What You'll Do Role Overview The Consumer Profitability & Insights (CP&I) team is looking for a Data Engineer II to help build, support, and modernize critical data products that ...

Data Engineer

Cincinnati, OH

$109K - $131K/yr

ComResource is looking for a Data Engineer. We need someone to assist in calculating FDIC insurance ... Desired: * Experience with IBM DB2 and DataStage. * Familiarity with modern data tools like ...

Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

RIT Solutions, Inc. is seeking an experienced Data Engineer to support a major bank‐to‐bank ... IBM DataStage, Python • Financial or debit/transaction data experience • Prior work on data ...

Senior Data Engineer

Cincinnati, OH · On-site

$101K - $138K/yr

Duties: * Design, develop, and support scalable IBM DataStage ETL solutions and enterprise data ... A Bachelor's degree in Computer Engineering, Computer Science or other related discipline or the ...

... data exchanges using EDI tools like IBM Sterling B2Bi · Proficient in implementing, configuring, and maintaining EDI systems using EDI tool Sterling B2Bi · Solid understanding of object-oriented ...

... data exchanges using EDI tools like IBM Sterling B2Bi · Proficient in implementing, configuring, and maintaining EDI systems using EDI tool Sterling B2Bi · Solid understanding of object-oriented ...

Senior Data Engineer

Columbus, OH

$102K - $139K/yr

A Brief Overview The Senior Data Engineer at Safelite is responsible for implementing and ... Experience architecting ingestion patterns from legacy softwares such as IBM VSAM Mainframes ...

Senior Data Engineer

Columbus, OH · On-site

$102K - $139K/yr

A Brief Overview The Senior Data Engineer at Safelite is responsible for implementing and ... Experience architecting ingestion patterns from legacy softwares such as IBM VSAM Mainframes ...

... SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings ... IBM MDM Developer Location: Dublin, OH Duration: 12 Months Top Three Skills: 1. IBM MDM Development ...

... SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings ... IBM MDM Developer Location: Dublin, OH Duration: 12 Months Top Three Skills: 1. IBM MDM Development ...

IBM Cognos TM1 Developer Location : Cleveland, OH Type : Fulltime Permanent Work Status : US ... Data loading intoTM1 from SQL Cognos (CAM) and Cube Structure Setting up security groups and ...

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Ibm Data Engineer information

See Ohio salary details

$42.3K

$123.3K

$168.7K

How much do ibm data engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for ibm data engineer in Ohio is $123,321.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $130,700.00 per year, depending on experience, location, and employer.

What is an IBM data engineer?

An IBM Data Engineer is responsible for designing, building, and managing data pipelines and architectures to support data-driven decision-making. They work with data integration, ETL processes, cloud platforms, and big data technologies to ensure efficient data flow. IBM Data Engineers collaborate with data scientists, analysts, and business stakeholders to optimize data accessibility and performance. Their role often involves using IBM technologies such as IBM Cloud, Db2, and Watson Studio to implement scalable data solutions. Strong skills in SQL, Python, and data modeling are essential for success in this role.

What does an IBM data engineer do?

As an IBM Data Engineer, your daily responsibilities often include designing and building data pipelines, integrating data from various sources, and ensuring the reliability and quality of data architecture. You may work closely with data scientists, analysts, and business stakeholders to understand requirements and optimize data workflows. Regular tasks involve maintaining and troubleshooting ETL processes, performing data validation, and documenting solutions. Collaboration within agile teams is common, and staying updated on IBM technologies and best practices is critical for ongoing success.

What are the key skills and qualifications needed to thrive as an IBM data engineer?

To thrive as an IBM Data Engineer, you need strong proficiency in data modeling, ETL processes, and SQL or Python programming, typically supported by a bachelor’s degree in computer science, engineering, or a related field. Expertise with IBM data tools like IBM DataStage, IBM Cloud Pak for Data, and knowledge of big data platforms such as Hadoop or Spark, along with relevant IBM certifications, are highly valuable. Effective problem-solving abilities, attention to detail, and collaboration skills help you excel in cross-functional teams and adapt to evolving project needs. These skills and qualities are essential for designing robust data pipelines and delivering reliable, enterprise-level data solutions.

Are IBM Data Engineers still in demand?

IBM Data Engineers are in demand as organizations continue to prioritize data management, analytics, and cloud integration. Skills in SQL, Python, and cloud platforms like IBM Cloud or AWS enhance job prospects in this field.

What are the most commonly searched types of Ibm Data Engineer jobs in Ohio?

The most popular types of Ibm Data Engineer jobs in Ohio are:

What are popular job titles related to Ibm Data Engineer jobs in Ohio?

For Ibm Data Engineer jobs in Ohio, the most frequently searched job titles are:

Infographic showing various Ibm Data Engineer job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 9% Part Time, and 6% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $123,321 per year, or $59.3 per hour.

Data Engineer III

Hudson Manpower

Cincinnati, OH • On-site

$50 - $54/hr

Contractor

This job post has expired today. Applications are no longer accepted.


Job description

Position Overview
We are seeking an experienced Data Engineer III to design, develop, and maintain modern enterprise data platforms supporting business intelligence and analytics initiatives.
This role focuses on building scalable data pipelines, developing and optimizing Snowflake data warehouse solutions, creating DBT models, and modernizing enterprise ETL environments using IBM DataStage.
The ideal candidate has strong cloud data engineering expertise, experience integrating legacy ETL platforms into modern architectures, and a passion for improving data quality, performance, and governance.
Candidates with Banking, Financial Services, or Mortgage Lending experience are highly preferred.
Location: Cincinnati, OH
Work Arrangement: Onsite (Business Requirements)
Employment Type: W2 - Full-Time
Duration: 6-Month Initial Contract (Extension Likely)
Work Authorization: USC/GC/H4 only
Experience Required: 5+ Years
Key Responsibilities
  • Design, build, and maintain scalable enterprise data pipelines
  • Develop and optimize Snowflake data warehouse solutions
  • Create and maintain DBT models
  • Build reusable and modular data transformation pipelines
  • Design logical and physical data models
  • Maintain and modernize IBM DataStage ETL processes
  • Integrate data from multiple enterprise systems
  • Develop batch and near real-time data processing solutions
  • Build scalable data models for Business Intelligence
  • Optimize SQL queries and warehouse performance
  • Monitor data quality and implement validation processes
  • Troubleshoot ETL failures and production issues
  • Collaborate with Data Architects, BI Developers, and business stakeholders
  • Support disaster recovery and data resiliency initiatives
  • Participate in Agile ceremonies and sprint planning
  • Document metadata, data lineage, and technical specifications
  • Ensure compliance with enterprise data governance standards

Technical Environment
Data Platforms
  • Snowflake
  • DBT
  • IBM DataStage

Databases
  • SQL
  • Relational Databases
  • NoSQL
  • MongoDB

Big Data
  • Hadoop

Programming
  • Java
  • J2EE

Methodologies
  • Agile / SAFe
  • CI/CD
  • Git
  • DevOps

Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience)
  • 5+ years of Data Engineering experience
  • 4+ years of Snowflake experience
  • Strong DBT experience
  • IBM DataStage experience
  • Advanced SQL development skills
  • Enterprise data modeling experience
  • Experience building scalable ETL pipelines
  • Strong analytical and troubleshooting skills
  • Excellent communication skills
  • Ability to work independently

Ideal Candidate
The ideal candidate will have:
  • Deep expertise in Snowflake
  • Strong DBT development experience
  • Modern cloud data engineering experience
  • Enterprise ETL development expertise
  • Legacy modernization experience
  • Data warehouse architecture knowledge
  • SQL performance tuning skills
  • Banking or Financial Services experience
  • Strong communication and collaboration skills

Required Skills
Data Engineering
  • Snowflake (4+ years)
  • Data Engineering
  • Data Pipeline Development
  • ETL Development
  • Data Integration
  • Data Modeling
  • Data Warehouse Design
  • Business Intelligence & Data Warehousing
  • Performance Optimization
  • Data Quality
  • SQL Development
  • Relational Databases

ETL & Cloud
  • DBT (Data Build Tool)
  • IBM DataStage
  • Enterprise Data Warehousing
  • Cloud Data Engineering

Preferred Skills
  • Java
  • J2EE
  • NoSQL Databases
  • Hadoop
  • MongoDB
  • Cloud Data Platforms
  • Data Governance
  • Metadata Management
  • CI/CD
  • Git
  • DevOps Concepts

Preferred Industry Experience
  • Banking
  • Financial Services
  • Mortgage Lending
  • HELOC
  • Encompass
  • Regulatory Reporting

Nice-to-Have Skills
  • SAFe Agile
  • Mortgage Servicing
  • Consumer Lending
  • Enterprise Reporting
  • Data Governance Frameworks
  • Cloud Modernization Projects