Lead Data Engineer Visa Sponsorship Jobs in Ohio
Lead data engineer roles in Ohio draw sponsorship-active employers across Columbus's growing tech sector, Cleveland's healthcare and finance industries, and Cincinnati's consumer goods and logistics companies. Nationwide Insurance, JPMorgan Chase, and Progressive Insurance regularly file for data engineering positions. Ohio's strong university pipeline from Ohio State and Case Western Reserve supports consistent demand for senior data talent.
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Get Access To All JobsLocation:
4910 Tiedeman Road, Brooklyn Ohio
Job Summary
We are seeking a Lead Data Engineer to support the design, implementation, maintenance, and lifecycle of enterprise data products starting with our DevOps Data Product transforming technology, operational, and business data into trusted, governed, and reusable insights.
In this hands-on technical leadership role, you will partner with Data Product Owners, data modelers, data architects, platform engineers, technology teams, and business stakeholders to develop scalable data pipelines, reusable data models, cloud-native services, and deployment automation on Google Cloud Platform.
This is a strong fit for someone who enjoys solving complex data and platform problems, improving data quality and reliability, reducing friction in the data delivery and pipeline lifecycle, and building standardized solutions that encourage broad adoption. The role offers the opportunity to influence data engineering standards, strengthen platform capabilities, and help shape a delivery ecosystem built for speed, quality, governance, and resilience.
Essential Functions
- Data Pipeline Engineering: Design, build, and support production batch and incremental pipelines using Python, SQL, and Cloud Composer to collect and process data and telemetry from enterprise tools and source systems.
- BigQuery Engineering & Optimization: Implement and maintain BigQuery datasets, tables, views, and transformation workloads. Optimize partitioning, clustering, query performance, access, storage, and compute costs.
- Data Transformation & Testing: Write and deploy automated transformation workflows and data quality checks using Dataform.
- CI/CD & Infrastructure as Code: Create and maintain repeatable Terraform configurations and GitLab CI/CD pipelines to automate testing, credential handling, and environment deployments across development, test, and production.
- System Integration & Security: Build secure integrations with enterprise APIs and source systems using appropriate authentication and credential management, incorporating retry, error handling, and rate-limiting patterns.
- Data Quality & Reliability: Configure pipeline monitoring, alerting, schema validation, and reconciliation jobs.
- Data Product Delivery: Partner with the Data Product Owner, data modelers, architects, and platform teams to translate product requirements, metric definitions, data-quality expectations, and governance requirements into reliable technical solutions.
- Documentation & Governance: Maintain technical documentation, lineage, data contracts, implementation guides, and evidence needed to support governance and audit requirements.
- Technical Mentorship & Standards: Conduct code reviews, establish reusable coding templates, and mentor team engineers on best practices for data engineering and version control.
Required Technical Skills
- SQL & BigQuery: Advanced SQL proficiency with hands-on BigQuery experience managing datasets, partitioning, clustering, views, schema updates, access controls, and query optimization.
- Data Pipeline & Orchestration: Proven experience designing and running production ELT/ETL pipelines, state management, incremental loading, and workflow scheduling with Cloud Composer or Apache Airflow.
- Programming & Scripting: Strong hands-on programming skills in Python and Bash shell scripting for container and pipeline workflows.
- API Ingestion: Practical experience extracting data from enterprise REST or GraphQL APIs, handling pagination, rate limits, OAuth flows, and integration with secret management systems.
- Dataform / SQL Transformation: Hands-on experience developing modular data transformations, dependencies, and automated test assertions using Dataform or comparable SQL-based frameworks.
- Terraform & GCP Infrastructure: Experience writing reusable Terraform modules to provision GCP data and IAM resources, including BigQuery, Cloud Storage, service accounts, Cloud Run, and Cloud Composer.
- GitLab CI/CD: Practical experience maintaining GitLab CI/CD pipelines, including environment stages, automated testing, container builds, and branch management.
- Data Quality & Production Reliability: Experience implementing automated data-quality controls, reconciliation, observability, alerting, failure recovery, and production support.
- Security & Governance: Experience applying access controls, secure credential handling, lineage, auditability, and data-governance requirements within a regulated or highly governed environment.
Preferred Technical Skills
- Containerization: Experience packaging and running lightweight workloads using Docker, Cloud Build, and Cloud Run.
- Developer Telemetry: Prior experience building reporting data models around software engineering tools, such as Jira, ServiceNow, GitLab.
- Streaming & Event Ingestion: Familiarity with event-driven data ingestion using Pub/Sub or Apache Beam / Google Cloud Dataflow.
- Analytics & AI Readiness: Familiarity with engineering, operational, productivity, quality, cost, risk, or AI-related data.
Work Experience & Education
- Education: Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related technical discipline, or equivalent practical experience.
- Relevant Experience: 5+ years of hands-on data engineering experience building production cloud data pipelines and data warehouse solutions.
- DevOps / CI/CD Experience: 2+ years of practical experience integrating automated testing, infrastructure as code, and CI/CD deployment workflows.
Core Competencies
All KeyBank employees are expected to demonstrate Key’s Values and abide by Key’s Code of Conduct.
Physical Demands
General Office - Prolonged sitting, ability to communicate face to face in person or on the phone with teammates and clients, frequent use of PC/laptop, occasional lifting/pushing/pulling of backpacks, computer bags up to 10 lbs.
Work Location Category
Hybrid (2+ days)
COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $80,000.00 - $150,000.00 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. Please click here for a list of benefits for which this position is eligible.
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: 11/18/2026
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:
4910 Tiedeman Road, Brooklyn Ohio
Job Summary
We are seeking a Lead Data Engineer to support the design, implementation, maintenance, and lifecycle of enterprise data products starting with our DevOps Data Product transforming technology, operational, and business data into trusted, governed, and reusable insights.
In this hands-on technical leadership role, you will partner with Data Product Owners, data modelers, data architects, platform engineers, technology teams, and business stakeholders to develop scalable data pipelines, reusable data models, cloud-native services, and deployment automation on Google Cloud Platform.
This is a strong fit for someone who enjoys solving complex data and platform problems, improving data quality and reliability, reducing friction in the data delivery and pipeline lifecycle, and building standardized solutions that encourage broad adoption. The role offers the opportunity to influence data engineering standards, strengthen platform capabilities, and help shape a delivery ecosystem built for speed, quality, governance, and resilience.
Essential Functions
- Data Pipeline Engineering: Design, build, and support production batch and incremental pipelines using Python, SQL, and Cloud Composer to collect and process data and telemetry from enterprise tools and source systems.
- BigQuery Engineering & Optimization: Implement and maintain BigQuery datasets, tables, views, and transformation workloads. Optimize partitioning, clustering, query performance, access, storage, and compute costs.
- Data Transformation & Testing: Write and deploy automated transformation workflows and data quality checks using Dataform.
- CI/CD & Infrastructure as Code: Create and maintain repeatable Terraform configurations and GitLab CI/CD pipelines to automate testing, credential handling, and environment deployments across development, test, and production.
- System Integration & Security: Build secure integrations with enterprise APIs and source systems using appropriate authentication and credential management, incorporating retry, error handling, and rate-limiting patterns.
- Data Quality & Reliability: Configure pipeline monitoring, alerting, schema validation, and reconciliation jobs.
- Data Product Delivery: Partner with the Data Product Owner, data modelers, architects, and platform teams to translate product requirements, metric definitions, data-quality expectations, and governance requirements into reliable technical solutions.
- Documentation & Governance: Maintain technical documentation, lineage, data contracts, implementation guides, and evidence needed to support governance and audit requirements.
- Technical Mentorship & Standards: Conduct code reviews, establish reusable coding templates, and mentor team engineers on best practices for data engineering and version control.
Required Technical Skills
- SQL & BigQuery: Advanced SQL proficiency with hands-on BigQuery experience managing datasets, partitioning, clustering, views, schema updates, access controls, and query optimization.
- Data Pipeline & Orchestration: Proven experience designing and running production ELT/ETL pipelines, state management, incremental loading, and workflow scheduling with Cloud Composer or Apache Airflow.
- Programming & Scripting: Strong hands-on programming skills in Python and Bash shell scripting for container and pipeline workflows.
- API Ingestion: Practical experience extracting data from enterprise REST or GraphQL APIs, handling pagination, rate limits, OAuth flows, and integration with secret management systems.
- Dataform / SQL Transformation: Hands-on experience developing modular data transformations, dependencies, and automated test assertions using Dataform or comparable SQL-based frameworks.
- Terraform & GCP Infrastructure: Experience writing reusable Terraform modules to provision GCP data and IAM resources, including BigQuery, Cloud Storage, service accounts, Cloud Run, and Cloud Composer.
- GitLab CI/CD: Practical experience maintaining GitLab CI/CD pipelines, including environment stages, automated testing, container builds, and branch management.
- Data Quality & Production Reliability: Experience implementing automated data-quality controls, reconciliation, observability, alerting, failure recovery, and production support.
- Security & Governance: Experience applying access controls, secure credential handling, lineage, auditability, and data-governance requirements within a regulated or highly governed environment.
Preferred Technical Skills
- Containerization: Experience packaging and running lightweight workloads using Docker, Cloud Build, and Cloud Run.
- Developer Telemetry: Prior experience building reporting data models around software engineering tools, such as Jira, ServiceNow, GitLab.
- Streaming & Event Ingestion: Familiarity with event-driven data ingestion using Pub/Sub or Apache Beam / Google Cloud Dataflow.
- Analytics & AI Readiness: Familiarity with engineering, operational, productivity, quality, cost, risk, or AI-related data.
Work Experience & Education
- Education: Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related technical discipline, or equivalent practical experience.
- Relevant Experience: 5+ years of hands-on data engineering experience building production cloud data pipelines and data warehouse solutions.
- DevOps / CI/CD Experience: 2+ years of practical experience integrating automated testing, infrastructure as code, and CI/CD deployment workflows.
Core Competencies
All KeyBank employees are expected to demonstrate Key’s Values and abide by Key’s Code of Conduct.
Physical Demands
General Office - Prolonged sitting, ability to communicate face to face in person or on the phone with teammates and clients, frequent use of PC/laptop, occasional lifting/pushing/pulling of backpacks, computer bags up to 10 lbs.
Work Location Category
Hybrid (2+ days)
COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $80,000.00 - $150,000.00 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. Please click here for a list of benefits for which this position is eligible.
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: 11/18/2026
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
Lead Data Engineer Job Roles in Ohio
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Search Lead Data Engineer Jobs in OhioLead Data Engineer Jobs in Ohio: Frequently Asked Questions
Which companies sponsor visas for lead data engineers in Ohio?
Several large Ohio-based employers have established sponsorship histories for data engineering roles. Nationwide Insurance and Progressive Insurance in Columbus, JPMorgan Chase in Columbus and Cincinnati, and Cleveland Clinic in Northeast Ohio appear regularly in DOL labor condition application filings for senior data positions. Retail and logistics companies like Kroger, based in Cincinnati, also file for data engineering talent at the lead level.
Which visa types realistically apply to lead data engineer roles in Ohio?
Lead data engineer is a specialty occupation requiring at least a bachelor's degree in computer science, data engineering, or a closely related field, making H-1B visa the most common path. Canadian and Mexican nationals with an engineering degree may qualify under the TN visa's Engineer profession category. Singaporean nationals can explore the H-1B1 visa, and Australian nationals the E-3 visa, both of which cover specialty occupations without entering the H-1B lottery. EB-2 and EB-3 employment-based green cards are also viable for long-term sponsorship.
Which cities in Ohio have the most lead data engineer sponsorship jobs?
Columbus is Ohio's most active market for lead data engineer sponsorship, driven by its concentration of insurance, financial services, and technology employers. Cleveland follows, with healthcare systems like Cleveland Clinic and University Hospitals alongside financial firms generating consistent demand. Cincinnati rounds out the top three, anchored by Kroger's growing data and technology division, Procter and Gamble, and regional financial institutions.
How to find lead data engineer visa sponsorship jobs in Ohio?
Migrate Mate lists Ohio employers with verified sponsorship history for data engineering roles, letting you focus your search on companies that have already filed labor condition applications for comparable positions. Filtering by Ohio and the lead data engineer role category on Migrate Mate surfaces active and historically active sponsors in Columbus, Cleveland, and Cincinnati, so you can prioritize outreach to employers already familiar with the sponsorship process.
Are there state-specific factors that affect lead data engineer sponsorship in Ohio?
Ohio's concentration of insurance carriers, regional banks, and large healthcare systems creates steady demand for lead data engineers who can manage enterprise-scale data pipelines. The state's cost of living relative to coastal markets can make Ohio employers more willing to meet prevailing wage requirements for sponsored roles. Ohio State University and Case Western Reserve University also produce strong local pipelines, meaning sponsors are accustomed to hiring technically credentialed candidates and navigating the sponsorship process.
What is the prevailing wage for sponsored lead 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.