Data Engineer Visa Sponsorship Jobs in Ohio
Ohio's data engineer market is anchored by major employers in Columbus, Cleveland, and Cincinnati, including JPMorgan Chase, Nationwide Insurance, and Procter and Gamble. The state's growing fintech, insurance, and manufacturing sectors generate steady demand for data engineering talent, and many of these employers have established visa sponsorship programs for qualified international candidates.
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Get Access To All JobsLocation:
127 Public Square, Cleveland Ohio
JOB BRIEF (PURPOSE)
Credit Portfolio Management (CPM) is Credit Risk’s centralized analytics area, partnering with key stakeholders throughout the Bank to strengthen Credit decision-making, portfolio risk management, and strategic planning. This role is responsible for leading quantitative analysis and portfolio research efforts, developing insights from internal and external data, and communicating actionable recommendations to senior leaders regarding emerging risks, portfolio performance, industry trends, and credit migration dynamics.
ESSENTIAL JOB FUNCTIONS
- Lead quantitative analysis of portfolio performance, risk concentrations, emerging risks, and credit migration trends across Key's commercial credit portfolios.
- Develop insights and recommendations through analysis of internal and external data sources, including portfolio performance data, economic indicators, industry trends, and peer benchmarking.
- Lead efforts to advance CPM's analytical capabilities through continuous improvement initiatives, including the annual recalibration of portfolio tolerances, limits, and related monitoring frameworks.
- Partner with Treasury, Finance, Credit Risk, and Line of Business stakeholders to support portfolio management, strategic planning, and risk management objectives.
- Proactively identify opportunities to improve analytical processes, reporting capabilities, data quality, automation, and overall efficiency.
- Develop and maintain analytical reporting, dashboards, and monitoring tools that support portfolio management, risk oversight, and executive decision-making.
- Present analytical findings, portfolio assessments, and risk insights to business partners and senior leadership in a clear and actionable manner.
MARGINAL OR PERIPHERAL FUNCTIONS
- Perform additional duties or project work as assigned.
REQUIRED QUALIFICATIONS
- Bachelor's degree in Mathematics, Statistics, Data Science, Engineering, Finance, Economics, Computer Science, Data and Business Analytics or other quantitative fields of study or relevant experience.
- 3+ years of experience in credit risk, portfolio management, quantitative analytics, banking, financial services, or a related discipline.
- Strong analytical and problem-solving skills with the ability to synthesize large and complex datasets, quantify business impacts, and develop actionable insights supporting strategic, risk management, and portfolio management decisions.
- Experience utilizing SQL and/or analytical programming languages (Python, SAS, R, or equivalent) to query, analyze, and transform data.
- Experience developing data visualizations, dashboards, and analytical reporting using Tableau, Power BI, or similar tools.
- Strong written and verbal communication skills with the ability to present analytical findings and recommendations to business partners and senior leadership.
- Demonstrated attention to detail, intellectual curiosity, and the ability to manage multiple priorities while maintaining high standards of accuracy.
- Advanced proficiency with Microsoft Excel and PowerPoint.
- Knowledge of database concepts, data extraction techniques, process automation, and quantitative analytical methods.
- Support the development of analysts and less experienced team members through collaboration, coaching, and knowledge sharing.
PREFERRED QUALIFICATIONS
- Experience in commercial banking, credit risk management, portfolio analytics, risk reporting, or financial services.
- Experience utilizing cloud-based analytical platforms, data warehouses, and modern data pipeline architectures.
- Experience supporting portfolio risk monitoring, concentration management, risk governance, or executive-level reporting.
- Knowledge of credit migration analysis, portfolio performance measurement, peer benchmarking, early warning indicators, industry risk assessment methodologies, or quantitative modeling techniques.
COMPETENCIES/SKILLS
- Communication: Ability to communicate complex analytical concepts and portfolio insights clearly and effectively to both technical and non-technical audiences. Strong written, verbal, and presentation skills with the ability to develop executive-level materials and deliver actionable recommendations.
- Partnering / Influencing: Builds strong relationships across Credit Risk, Treasury, Finance, and Line of Business partners. Effectively collaborates across teams, challenges assumptions constructively, and influences decision-making through data-driven insights and recommendations.
- Business Acumen: Demonstrates a strong understanding of banking, credit risk, portfolio management, and financial performance drivers. Applies business knowledge to translate analytical findings into meaningful strategic and risk management insights.
- Critical Thinking / Problem Solving: Applies analytical rigor and sound judgment to evaluate complex business problems, identify emerging risks, and develop practical solutions. Able to independently formulate hypotheses, assess alternatives, and recommend appropriate courses of action.
- Results Orientation: Effectively manages multiple priorities while maintaining high standards of quality and accuracy. Demonstrates accountability for outcomes, proactively identifies obstacles, and drives initiatives to completion within established timelines.
- Initiative & Continuous Improvement: Demonstrates ownership of analytical processes and outcomes. Proactively identifies opportunities to improve methodologies, reporting, automation, and business processes while driving solutions to completion.
COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $71,000.00 - $125,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.
Job Posting Expiration Date: 11/14/2026
KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.
LI-Hybrid
Location:
127 Public Square, Cleveland Ohio
JOB BRIEF (PURPOSE)
Credit Portfolio Management (CPM) is Credit Risk’s centralized analytics area, partnering with key stakeholders throughout the Bank to strengthen Credit decision-making, portfolio risk management, and strategic planning. This role is responsible for leading quantitative analysis and portfolio research efforts, developing insights from internal and external data, and communicating actionable recommendations to senior leaders regarding emerging risks, portfolio performance, industry trends, and credit migration dynamics.
ESSENTIAL JOB FUNCTIONS
- Lead quantitative analysis of portfolio performance, risk concentrations, emerging risks, and credit migration trends across Key's commercial credit portfolios.
- Develop insights and recommendations through analysis of internal and external data sources, including portfolio performance data, economic indicators, industry trends, and peer benchmarking.
- Lead efforts to advance CPM's analytical capabilities through continuous improvement initiatives, including the annual recalibration of portfolio tolerances, limits, and related monitoring frameworks.
- Partner with Treasury, Finance, Credit Risk, and Line of Business stakeholders to support portfolio management, strategic planning, and risk management objectives.
- Proactively identify opportunities to improve analytical processes, reporting capabilities, data quality, automation, and overall efficiency.
- Develop and maintain analytical reporting, dashboards, and monitoring tools that support portfolio management, risk oversight, and executive decision-making.
- Present analytical findings, portfolio assessments, and risk insights to business partners and senior leadership in a clear and actionable manner.
MARGINAL OR PERIPHERAL FUNCTIONS
- Perform additional duties or project work as assigned.
REQUIRED QUALIFICATIONS
- Bachelor's degree in Mathematics, Statistics, Data Science, Engineering, Finance, Economics, Computer Science, Data and Business Analytics or other quantitative fields of study or relevant experience.
- 3+ years of experience in credit risk, portfolio management, quantitative analytics, banking, financial services, or a related discipline.
- Strong analytical and problem-solving skills with the ability to synthesize large and complex datasets, quantify business impacts, and develop actionable insights supporting strategic, risk management, and portfolio management decisions.
- Experience utilizing SQL and/or analytical programming languages (Python, SAS, R, or equivalent) to query, analyze, and transform data.
- Experience developing data visualizations, dashboards, and analytical reporting using Tableau, Power BI, or similar tools.
- Strong written and verbal communication skills with the ability to present analytical findings and recommendations to business partners and senior leadership.
- Demonstrated attention to detail, intellectual curiosity, and the ability to manage multiple priorities while maintaining high standards of accuracy.
- Advanced proficiency with Microsoft Excel and PowerPoint.
- Knowledge of database concepts, data extraction techniques, process automation, and quantitative analytical methods.
- Support the development of analysts and less experienced team members through collaboration, coaching, and knowledge sharing.
PREFERRED QUALIFICATIONS
- Experience in commercial banking, credit risk management, portfolio analytics, risk reporting, or financial services.
- Experience utilizing cloud-based analytical platforms, data warehouses, and modern data pipeline architectures.
- Experience supporting portfolio risk monitoring, concentration management, risk governance, or executive-level reporting.
- Knowledge of credit migration analysis, portfolio performance measurement, peer benchmarking, early warning indicators, industry risk assessment methodologies, or quantitative modeling techniques.
COMPETENCIES/SKILLS
- Communication: Ability to communicate complex analytical concepts and portfolio insights clearly and effectively to both technical and non-technical audiences. Strong written, verbal, and presentation skills with the ability to develop executive-level materials and deliver actionable recommendations.
- Partnering / Influencing: Builds strong relationships across Credit Risk, Treasury, Finance, and Line of Business partners. Effectively collaborates across teams, challenges assumptions constructively, and influences decision-making through data-driven insights and recommendations.
- Business Acumen: Demonstrates a strong understanding of banking, credit risk, portfolio management, and financial performance drivers. Applies business knowledge to translate analytical findings into meaningful strategic and risk management insights.
- Critical Thinking / Problem Solving: Applies analytical rigor and sound judgment to evaluate complex business problems, identify emerging risks, and develop practical solutions. Able to independently formulate hypotheses, assess alternatives, and recommend appropriate courses of action.
- Results Orientation: Effectively manages multiple priorities while maintaining high standards of quality and accuracy. Demonstrates accountability for outcomes, proactively identifies obstacles, and drives initiatives to completion within established timelines.
- Initiative & Continuous Improvement: Demonstrates ownership of analytical processes and outcomes. Proactively identifies opportunities to improve methodologies, reporting, automation, and business processes while driving solutions to completion.
COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $71,000.00 - $125,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.
Job Posting Expiration Date: 11/14/2026
KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.
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Data Engineer Job Roles in Ohio
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Search Data Engineer Jobs in OhioData Engineer Jobs in Ohio: Frequently Asked Questions
Which companies sponsor visas for data engineers in Ohio?
Large Ohio-based employers with consistent H-1B visa sponsorship histories for data engineers include JPMorgan Chase in Columbus, Nationwide Insurance, Progressive in Mayfield Village, and Procter and Gamble in Cincinnati. Major tech contractors such as Cognizant, Infosys, and Tata Consultancy Services also place data engineers with Ohio clients and regularly sponsor work visas.
Which visa types are most common for data engineer roles in Ohio?
The H-1B is the most common visa category for data engineers in Ohio, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, information systems, or a related field. Some candidates also enter through the L-1B for intracompany transfers or the OPT and STEM OPT extensions if they completed a U.S. degree at institutions like Ohio State University or Case Western Reserve.
Which cities in Ohio have the most data engineer sponsorship jobs?
Columbus leads Ohio for data engineer sponsorship volume, driven by its concentration of financial services, insurance, and retail technology companies. Cleveland follows, with demand from healthcare systems like Cleveland Clinic and financial firms. Cincinnati rounds out the top three, supported by consumer goods companies and a growing startup ecosystem. All three cities have established tech hiring pipelines that regularly include international candidates.
How to find data engineer visa sponsorship jobs in Ohio?
Migrate Mate is built specifically for international job seekers and filters data engineer roles in Ohio by visa sponsorship status, so you are not sifting through listings from employers who do not sponsor. You can filter by city, industry, and visa type to narrow results to opportunities that match your background. Searching Migrate Mate regularly is one of the most direct ways to track Ohio data engineer openings from sponsors like JPMorgan Chase, Nationwide, and Progressive.
Are there any Ohio-specific considerations for data engineers seeking visa sponsorship?
Ohio's prevailing wage requirements under H-1B rules mean employers must pay data engineers at wage levels set by the Department of Labor for the specific metropolitan area, whether Columbus, Cleveland, or Cincinnati. Each city has its own wage determinations, so the required salary differs by location. Ohio State University, Case Western Reserve, and the University of Cincinnati also produce significant data engineering talent, which means some employers have structured pipelines from these programs that include sponsorship for graduating international students.
What is the prevailing wage for sponsored data engineer jobs in Ohio?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.