Principal Data Analyst Visa Sponsorship Jobs in Ohio
Principal data analyst visa sponsorship jobs in Ohio are concentrated in Columbus, Cleveland, and Cincinnati, where employers like Nationwide Insurance, Progressive, KeyBank, and Kroger run large analytics teams. Ohio's mix of financial services, insurance, healthcare, and retail sectors creates consistent demand for senior-level data professionals requiring H-1B visa and other specialty occupation visa sponsorship.
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GENERAL FUNCTION:
The Principal Data Engineer designs and builds data platforms, tools, and solutions that enable the Bank to manage, secure, and extract value from its data. This role develops scalable, reusable solutions for collecting, storing, processing, and serving data across both traditional and modern architectures. Engineers work across on-premises and cloud-based environments to deliver reliable, secure, and well-governed data capabilities. The role includes leveraging AI-assisted engineering capabilities to improve productivity, code quality, testing, and documentation, while designing trusted data assets that support analytics, artificial intelligence, and machine learning use cases. Principal Data Engineers provide technical leadership across multiple teams within a business or data domain, independently deliver the most complex and high-impact solutions, shape technical strategy and standards, influence outcomes across the broader organization, and raise engineering capabilities through mentoring, coaching, and knowledge sharing.
Responsible and accountable for risk by openly exchanging ideas and opinions, elevating concerns, and personally following policies and procedures as defined. Accountable for always doing the right thing for customers and colleagues while ensuring that actions and behaviors drive a positive customer experience. While operating within the Bank's risk appetite, achieves results by consistently identifying, assessing, managing, monitoring, and reporting risks of all types.
ESSENTIAL DUTIES & RESPONSIBILITIES:
-
Responsible for design, development, and support of scalable data solutions, APIs, tools, and processes that enable rapid delivery of business capabilities across both traditional and modern data platforms.
-
Work closely with IT application teams, Enterprise Architecture, infrastructure, information security, and LOB stakeholders to translate business and technical strategies into data-driven solutions, shape technical direction, and influence outcomes across multiple teams within a business or data domain with added impact across the broader organization.
- Act as a principal technical expert and trusted advisor addressing the most complex problems related to system and application design, performance, integration, security, and delivery.
- Conduct research and development based on current trends and technologies related to the banking industry, data engineering and architecture, data security, AI-readiness, and related topics, and translate relevant findings into practical improvements.
-
Build and maintain CI/CD pipelines and self-service deployment tools to streamline development and operations.
-
Evaluate data and software products, providing documented recommendations to improve capabilities.
-
Lead ownership of the most complex and strategically important data solutions throughout their lifecycle, including design, development, testing, deployment, monitoring, operational support, modernization, and retirement, while defining and driving engineering standards across multiple teams.
- Provide support and troubleshooting for data pipelines and platforms, including participation in incident response and resolution for critical production issues.
-
Lead strategic technical initiatives across multiple teams, including legacy system modernization, data pipeline improvements, monitoring, and documentation, while proactively identifying cross-team dependencies, risks, and barriers to delivery.
-
Optimize and automate data pipelines for efficiency, scalability, observability, and performance.
-
Develop and maintain automated testing, validation, reconciliation, and data quality controls to ensure reliable, trusted, and production-ready data solutions.
- Leverage approved AI-assisted engineering capabilities to improve productivity, code quality, testing, documentation, and problem solving, while supporting the delivery of trusted data assets for analytics, artificial intelligence, and machine learning solutions.
- Apply a data product mindset by managing the full lifecycle of data assets and ensuring appropriate ownership, quality, discoverability, documentation, lineage, and governance.
- Provide technical leadership, mentoring, coaching, and knowledge sharing across multiple teams, raising engineering competencies and contributing to greater effectiveness across the broader business or data domain and organization.
- Drive prioritization, escalation, and resolution of competing technical demands and strategic dependencies across multiple teams.
- Lead delivery of strategic, high-impact data solutions across multiple Agile teams through close collaboration with product owners and stakeholders, proactively removing cross-team barriers and balancing delivery, risk, resiliency, and quality.
SUPERVISORY RESPONSIBILITIES: None.
MINIMUM KNOWLEDGE, SKILLS AND ABILITIES REQUIRED:
-
Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent combination of education and experience.
-
Strong verbal and written communication skills, with the ability to tailor messaging to technical and non-technical audiences including business stakeholders, IT sponsors, and leadership.
-
8+ years of related experience, including at least 6 years in a hands-on software development or data engineering role.
-
Proficiency in SQL, including query optimization, complex joins, window functions, and analytical queries across large-scale datasets.
-
Significant experience with two or more relational database management systems, SQL-based data platforms, and large-scale data processing patterns.
- Experience working with and supporting Unix/Linux and Windows systems.
- Proficiency in relational database modeling concepts and techniques.
- Strong conceptual understanding of distributed computing principles and scalable data architectures.
- Strong working knowledge of application and data security concepts, best practices, and common vulnerabilities.
- Experience in one or more of the following disciplines preferred:
- Modern data platforms, cloud-native architectures, and data transformation technologies (e.g. Snowflake, dbt).
- Traditional data engineering tools (e.g. IBM DB2, IBM Information Server/DataStage)
- Metadata management products and data governance tools
- BI (Business Intelligence) report development and data visualization tools
- Messaging and streaming systems (e.g. Apache Kafka)
- Data warehousing and warehousing architectures
- REST API design and development
- Version control and CI/CD tools
- Infrastructure automation and virtualization tools
- Major cloud platforms (AWS, Azure, GCP)
-
Experience using AI-assisted engineering capabilities and an understanding of how trusted data supports analytics, artificial intelligence, and machine learning solutions.
-
Understanding of data product principles and experience managing the full lifecycle of data assets.
-
Experience collaborating with offshore teams is a plus.
-
Financial services industry experience is preferred.
LOCATION - Cincinnati, Ohio 45202
Attention search firms and staffing agencies: do not submit unsolicited resumes for this posting. Fifth Third does not accept resumes from any agency that does not have an active agreement with Fifth Third. Any unsolicited resumes – no matter how they are submitted – will be considered the property of Fifth Third and Fifth Third will not be responsible for any associated fee.
Fifth Third Bank, National Association is proud to have an engaged and inclusive culture and to promote and ensure equal employment opportunity in all employment decisions regardless of race, color, gender, national origin, religion, age, disability, sexual orientation, gender identity, military status, veteran status or any other legally protected status.
Make banking a Fifth Third better®
We connect great people to great opportunities. Are you ready to take the next step? Discover a career in banking at Fifth Third Bank.
GENERAL FUNCTION:
The Principal Data Engineer designs and builds data platforms, tools, and solutions that enable the Bank to manage, secure, and extract value from its data. This role develops scalable, reusable solutions for collecting, storing, processing, and serving data across both traditional and modern architectures. Engineers work across on-premises and cloud-based environments to deliver reliable, secure, and well-governed data capabilities. The role includes leveraging AI-assisted engineering capabilities to improve productivity, code quality, testing, and documentation, while designing trusted data assets that support analytics, artificial intelligence, and machine learning use cases. Principal Data Engineers provide technical leadership across multiple teams within a business or data domain, independently deliver the most complex and high-impact solutions, shape technical strategy and standards, influence outcomes across the broader organization, and raise engineering capabilities through mentoring, coaching, and knowledge sharing.
Responsible and accountable for risk by openly exchanging ideas and opinions, elevating concerns, and personally following policies and procedures as defined. Accountable for always doing the right thing for customers and colleagues while ensuring that actions and behaviors drive a positive customer experience. While operating within the Bank's risk appetite, achieves results by consistently identifying, assessing, managing, monitoring, and reporting risks of all types.
ESSENTIAL DUTIES & RESPONSIBILITIES:
-
Responsible for design, development, and support of scalable data solutions, APIs, tools, and processes that enable rapid delivery of business capabilities across both traditional and modern data platforms.
-
Work closely with IT application teams, Enterprise Architecture, infrastructure, information security, and LOB stakeholders to translate business and technical strategies into data-driven solutions, shape technical direction, and influence outcomes across multiple teams within a business or data domain with added impact across the broader organization.
- Act as a principal technical expert and trusted advisor addressing the most complex problems related to system and application design, performance, integration, security, and delivery.
- Conduct research and development based on current trends and technologies related to the banking industry, data engineering and architecture, data security, AI-readiness, and related topics, and translate relevant findings into practical improvements.
-
Build and maintain CI/CD pipelines and self-service deployment tools to streamline development and operations.
-
Evaluate data and software products, providing documented recommendations to improve capabilities.
-
Lead ownership of the most complex and strategically important data solutions throughout their lifecycle, including design, development, testing, deployment, monitoring, operational support, modernization, and retirement, while defining and driving engineering standards across multiple teams.
- Provide support and troubleshooting for data pipelines and platforms, including participation in incident response and resolution for critical production issues.
-
Lead strategic technical initiatives across multiple teams, including legacy system modernization, data pipeline improvements, monitoring, and documentation, while proactively identifying cross-team dependencies, risks, and barriers to delivery.
-
Optimize and automate data pipelines for efficiency, scalability, observability, and performance.
-
Develop and maintain automated testing, validation, reconciliation, and data quality controls to ensure reliable, trusted, and production-ready data solutions.
- Leverage approved AI-assisted engineering capabilities to improve productivity, code quality, testing, documentation, and problem solving, while supporting the delivery of trusted data assets for analytics, artificial intelligence, and machine learning solutions.
- Apply a data product mindset by managing the full lifecycle of data assets and ensuring appropriate ownership, quality, discoverability, documentation, lineage, and governance.
- Provide technical leadership, mentoring, coaching, and knowledge sharing across multiple teams, raising engineering competencies and contributing to greater effectiveness across the broader business or data domain and organization.
- Drive prioritization, escalation, and resolution of competing technical demands and strategic dependencies across multiple teams.
- Lead delivery of strategic, high-impact data solutions across multiple Agile teams through close collaboration with product owners and stakeholders, proactively removing cross-team barriers and balancing delivery, risk, resiliency, and quality.
SUPERVISORY RESPONSIBILITIES: None.
MINIMUM KNOWLEDGE, SKILLS AND ABILITIES REQUIRED:
-
Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent combination of education and experience.
-
Strong verbal and written communication skills, with the ability to tailor messaging to technical and non-technical audiences including business stakeholders, IT sponsors, and leadership.
-
8+ years of related experience, including at least 6 years in a hands-on software development or data engineering role.
-
Proficiency in SQL, including query optimization, complex joins, window functions, and analytical queries across large-scale datasets.
-
Significant experience with two or more relational database management systems, SQL-based data platforms, and large-scale data processing patterns.
- Experience working with and supporting Unix/Linux and Windows systems.
- Proficiency in relational database modeling concepts and techniques.
- Strong conceptual understanding of distributed computing principles and scalable data architectures.
- Strong working knowledge of application and data security concepts, best practices, and common vulnerabilities.
- Experience in one or more of the following disciplines preferred:
- Modern data platforms, cloud-native architectures, and data transformation technologies (e.g. Snowflake, dbt).
- Traditional data engineering tools (e.g. IBM DB2, IBM Information Server/DataStage)
- Metadata management products and data governance tools
- BI (Business Intelligence) report development and data visualization tools
- Messaging and streaming systems (e.g. Apache Kafka)
- Data warehousing and warehousing architectures
- REST API design and development
- Version control and CI/CD tools
- Infrastructure automation and virtualization tools
- Major cloud platforms (AWS, Azure, GCP)
-
Experience using AI-assisted engineering capabilities and an understanding of how trusted data supports analytics, artificial intelligence, and machine learning solutions.
-
Understanding of data product principles and experience managing the full lifecycle of data assets.
-
Experience collaborating with offshore teams is a plus.
-
Financial services industry experience is preferred.
LOCATION - Cincinnati, Ohio 45202
Attention search firms and staffing agencies: do not submit unsolicited resumes for this posting. Fifth Third does not accept resumes from any agency that does not have an active agreement with Fifth Third. Any unsolicited resumes – no matter how they are submitted – will be considered the property of Fifth Third and Fifth Third will not be responsible for any associated fee.
Fifth Third Bank, National Association is proud to have an engaged and inclusive culture and to promote and ensure equal employment opportunity in all employment decisions regardless of race, color, gender, national origin, religion, age, disability, sexual orientation, gender identity, military status, veteran status or any other legally protected status.
Principal Data Analyst Job Roles in Ohio
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Search Principal Data Analyst Jobs in OhioPrincipal Data Analyst Jobs in Ohio: Frequently Asked Questions
Which companies in Ohio sponsor visas for principal data analysts?
Ohio's largest visa sponsors for senior analytics roles include Nationwide Insurance and Progressive in Columbus, KeyBank and Cleveland Clinic in Cleveland, and Kroger and Procter & Gamble in Cincinnati. Large healthcare systems such as OhioHealth and Bon Secours Mercy Health also file sponsorship petitions for principal-level data roles, particularly for candidates with advanced degrees in data science, statistics, or computer science.
What visa types realistically apply to principal data analyst roles in Ohio?
Principal data analyst roles qualify as specialty occupations, so the H-1B is the primary path for most international candidates. It requires a bachelor's degree or higher in a directly related field and is subject to an annual cap and selection process. Candidates from Australia may qualify for the E-3 visa, while those from Chile or Singapore may be eligible for the H-1B1 visa. All three require the employer to file a Labor Condition Application. For long-term permanent residence, EB-2 and EB-3 green card categories are common pathways, typically requiring PERM labor certification.
Which Ohio cities have the most principal data analyst sponsorship jobs?
Columbus leads Ohio for principal data analyst sponsorship activity, driven by its concentration of insurance companies, fintech firms, and large retail corporations. Cleveland follows with significant demand from banking institutions and major healthcare systems anchored around University Hospitals and Cleveland Clinic. Cincinnati rounds out the top three, supported by consumer goods companies and regional financial services employers, all of which regularly hire at the principal and senior analytics level.
How to find principal data analyst visa sponsorship jobs in Ohio?
Migrate Mate lists principal data analyst roles in Ohio filtered to employers with verified visa sponsorship history, so you can focus your search on companies that have actively filed for similar positions. This is especially useful at the principal level, where sponsorship willingness varies significantly by company size and industry. Search by city to target Columbus, Cleveland, or Cincinnati specifically, and filter by role to surface the most relevant active openings.
Are there any Ohio-specific factors that affect visa sponsorship for principal data analysts?
Ohio's strong university pipeline from Ohio State, Case Western Reserve, and the University of Cincinnati produces a steady supply of domestic analytics graduates, which means employers at the principal level typically sponsor international candidates who bring specialized expertise in areas like machine learning infrastructure, advanced statistical modeling, or large-scale data platform architecture. Ohio's insurance and financial services sectors, which are among the state's largest H-1B filers, tend to have established HR processes for sponsoring senior technical roles.
What is the prevailing wage for sponsored principal data analyst 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.