Cloud Data Engineer Visa Sponsorship Jobs in Ohio
Ohio's cloud data engineer job market is anchored by major employers in Columbus, Cleveland, and Cincinnati, including Nationwide, KeyBank, and Kroger's technology division. The state's growing fintech, healthcare IT, and retail analytics sectors regularly hire for cloud data roles, and several Ohio employers have a documented history of sponsoring H-1B visas for qualified international candidates.
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Fueled by a fundamental belief in innovation, Resurgent Capital Services is an industry-leading financial services company in our sector. It all began 25 years ago when a small group of successful entrepreneurs had a vision for a new type of asset receivables company. One with a commitment to superior service and a personal touch with every interaction. We believe that demonstrating integrity in everything we do, maintaining a strong commitment to compliance, and doing things the right way is a sustainable business model. We want you to feel like your work has an impact and makes a difference every day. Join us as we develop strategies for change and transform the trajectory of your career!
Summary
As a Cloud Data Engineer, you will be a key architect of our data ecosystem. You’ll own the full software development lifecycle—from initial design and coding to integration testing and deployment. In this role, you aren’t just maintaining systems; you are building innovative data applications that empower our organization. We value autonomy and judgment, looking for a professional with 5+ years of experience who is ready to turn complex data challenges into high-performance production solutions. This position will report to the Vice President of Enterprise Data Engineering.
Roles & Responsibilities
- Architect Impact: Design and develop custom data warehouse solutions that serve as the backbone for executive leadership and data science teams, enabling high-stakes, data-driven decision-making.
- Collaborate Across Domains: Partner closely with business analysts, developers, and data scientists to build seamless, user-centric data solutions.
- Cloud-Scale ML and AI Delivery: Transform data science prototypes into scalable, reliable production ML and AI solutions.
- Optimize Performance: Fine-tune and productionize data integration pipelines to ensure maximum efficiency and reliability.
- Build Resilient Systems: Develop proactive "smoke detector" monitoring tools to track and maintain the health of our data ecosystem.
- Lead Project Strategy: Take ownership of work estimates, technical roadmaps, and implementation plans.
- Stay Ahead of the Curve: Research and integrate emerging technologies, products, and development processes to keep our stack competitive.
- Agile Teamwork: Thrive in an agile environment, following best practices and clean coding standards.
- Invest in Growth: Actively grow your personal technical skillset while mentoring others to elevate the entire team.
Skills & Qualifications
- Experience: 5+ years of hands-on experience in data engineering.
- SQL Mastery: Strong experience designing data warehouse solutions with expert-level SQL knowledge.
- Data Architecture: Deep understanding of databases, data structures, and complex data manipulation.
- Pipeline Engineering: Proven ability to create sophisticated data models and end-to-end pipelines for data acquisition, cleansing, and integration.
- The Tech Stack: Deep experience with Microsoft SQL Server and proficiency with Databricks.
- Coding: Proficiency in C# and/or Python.
- Modern Infrastructure: Familiarity with distributed architecture is a significant plus.
- Collaborative Mindset: A track record of success in team-oriented, collaborative environments.
- Communication: Strong interpersonal skills with a focus on delivering excellent support to internal customers.
- Problem Solver: Exceptional analytical skills and a passion for tackling complex technical puzzles.
- Full Lifecycle Knowledge: Comprehensive understanding of the SDLC, including source control and lifecycle management tools.
Additional Preferred Skills
- Azure Ecosystem: Experience with Azure Analytics, Databases, Storage, and AI/Machine Learning services.
- ETL Tools: Experience with SSIS or equivalent enterprise ETL tools.
- Statistical Languages: Familiarity with R.
Educational Requirements
- 4-year degree required
Resurgent is an Equal Opportunity employer that is fueled by our diverse and inclusive work environment. Are you excited about this opportunity, but your skills and experience aren't an exact match? We encourage you to apply anyway! You may be just the person we are searching for to fill this or another position. We would love to consider you for the Resurgent team!
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
About us
Fueled by a fundamental belief in innovation, Resurgent Capital Services is an industry-leading financial services company in our sector. It all began 25 years ago when a small group of successful entrepreneurs had a vision for a new type of asset receivables company. One with a commitment to superior service and a personal touch with every interaction. We believe that demonstrating integrity in everything we do, maintaining a strong commitment to compliance, and doing things the right way is a sustainable business model. We want you to feel like your work has an impact and makes a difference every day. Join us as we develop strategies for change and transform the trajectory of your career!
Summary
As a Cloud Data Engineer, you will be a key architect of our data ecosystem. You’ll own the full software development lifecycle—from initial design and coding to integration testing and deployment. In this role, you aren’t just maintaining systems; you are building innovative data applications that empower our organization. We value autonomy and judgment, looking for a professional with 5+ years of experience who is ready to turn complex data challenges into high-performance production solutions. This position will report to the Vice President of Enterprise Data Engineering.
Roles & Responsibilities
- Architect Impact: Design and develop custom data warehouse solutions that serve as the backbone for executive leadership and data science teams, enabling high-stakes, data-driven decision-making.
- Collaborate Across Domains: Partner closely with business analysts, developers, and data scientists to build seamless, user-centric data solutions.
- Cloud-Scale ML and AI Delivery: Transform data science prototypes into scalable, reliable production ML and AI solutions.
- Optimize Performance: Fine-tune and productionize data integration pipelines to ensure maximum efficiency and reliability.
- Build Resilient Systems: Develop proactive "smoke detector" monitoring tools to track and maintain the health of our data ecosystem.
- Lead Project Strategy: Take ownership of work estimates, technical roadmaps, and implementation plans.
- Stay Ahead of the Curve: Research and integrate emerging technologies, products, and development processes to keep our stack competitive.
- Agile Teamwork: Thrive in an agile environment, following best practices and clean coding standards.
- Invest in Growth: Actively grow your personal technical skillset while mentoring others to elevate the entire team.
Skills & Qualifications
- Experience: 5+ years of hands-on experience in data engineering.
- SQL Mastery: Strong experience designing data warehouse solutions with expert-level SQL knowledge.
- Data Architecture: Deep understanding of databases, data structures, and complex data manipulation.
- Pipeline Engineering: Proven ability to create sophisticated data models and end-to-end pipelines for data acquisition, cleansing, and integration.
- The Tech Stack: Deep experience with Microsoft SQL Server and proficiency with Databricks.
- Coding: Proficiency in C# and/or Python.
- Modern Infrastructure: Familiarity with distributed architecture is a significant plus.
- Collaborative Mindset: A track record of success in team-oriented, collaborative environments.
- Communication: Strong interpersonal skills with a focus on delivering excellent support to internal customers.
- Problem Solver: Exceptional analytical skills and a passion for tackling complex technical puzzles.
- Full Lifecycle Knowledge: Comprehensive understanding of the SDLC, including source control and lifecycle management tools.
Additional Preferred Skills
- Azure Ecosystem: Experience with Azure Analytics, Databases, Storage, and AI/Machine Learning services.
- ETL Tools: Experience with SSIS or equivalent enterprise ETL tools.
- Statistical Languages: Familiarity with R.
Educational Requirements
- 4-year degree required
Resurgent is an Equal Opportunity employer that is fueled by our diverse and inclusive work environment. Are you excited about this opportunity, but your skills and experience aren't an exact match? We encourage you to apply anyway! You may be just the person we are searching for to fill this or another position. We would love to consider you for the Resurgent team!
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
Cloud Data Engineer Job Roles in Ohio
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Search Cloud Data Engineer Jobs in OhioCloud Data Engineer Jobs in Ohio: Frequently Asked Questions
Which companies in Ohio sponsor visas for cloud data engineers?
Columbus-based employers like Nationwide Insurance, JPMorgan Chase's Ohio operations, and Huntington Bancshares have filed H-1B petitions for cloud and data engineering roles. In Cincinnati, Kroger Technology and 84.51° actively hire for cloud data positions. Cleveland's healthcare sector, including Cleveland Clinic and University Hospitals, also sponsors international engineers for data infrastructure roles.
Which visa types are most common for cloud data engineer roles in Ohio?
The H-1B is the most common visa category for cloud 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. Candidates with a master's degree may benefit from the advanced degree exemption in the H-1B selection process. OPT and STEM OPT are also frequently used by recent graduates working toward sponsorship.
Which Ohio cities have the most cloud data engineer visa sponsorship jobs?
Columbus is Ohio's primary tech hub and accounts for the largest share of cloud data engineering roles, driven by financial services, insurance, and retail technology companies headquartered there. Cleveland follows, with demand concentrated in healthcare IT and manufacturing analytics. Cincinnati's growing data and analytics sector, anchored by Kroger and 84.51°, also generates consistent sponsorship opportunities for cloud data engineers.
How to find cloud data engineer visa sponsorship jobs in Ohio?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it easier to identify Ohio employers actively hiring cloud data engineers who need work authorization. Rather than sorting through general job postings, you can browse roles already tagged for sponsorship in Ohio's key markets, including Columbus, Cleveland, and Cincinnati, across industries like fintech, healthcare IT, and retail analytics.
Are there state-specific considerations for cloud data engineers seeking sponsorship in Ohio?
Ohio has a strong pipeline of international talent through universities like Ohio State, Case Western Reserve, and the University of Cincinnati, all of which have large computer science and engineering programs. Employers familiar with sponsoring graduates from these institutions tend to have established H-1B filing processes. Ohio's cost of living relative to coastal tech hubs can also influence prevailing wage determinations filed with the Department of Labor for H-1B petitions.
What is the prevailing wage for sponsored cloud 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.
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