Technical Consultant Visa Sponsorship Jobs in Ohio
Ohio's technical consultant market spans legacy enterprise IT in Columbus, advanced manufacturing tech in Cleveland, and financial systems consulting in Cincinnati. Major employers like Nationwide, Huntington Bancshares, and Deloitte's Ohio offices have established sponsorship track records. International candidates with expertise in ERP, cloud infrastructure, or systems integration will find active demand across the state.
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Get Access To All JobsINTRODUCTION
About PHOENIX
PHOENIX Retail, LLC is a retail platform operating the Express and Bonobos brands worldwide. Express is a multichannel apparel brand dedicated to a design philosophy rooted in modern, confident and effortless style whether dressing for work, everyday or special occasions. Bonobos is a menswear brand known for being pioneers of exceptional fit and a personalized, innovative retail model. Customers can experience our brands in over 400 Express retail and Express Factory Outlet stores, 50 Bonobos Guideshops, and online at www.express.com and www.bonobos.com.
About Express
Express is a multichannel apparel brand dedicated to creating confidence and inspiring self-expression. Since its launch in 1980, the brand has embraced a design philosophy rooted in modern, confident and effortless style. Whether dressing for work, everyday or special occasions, Express ensures you look and feel your best, wherever life takes you.
The Company operates over 400 retail and outlet stores in the United States and Puerto Rico, the express.com online store and the Express mobile app.
LOCATION
Location Name: Columbus Corporate Headquarters
Responsibilities
The Technical Consultant is responsible for designing, building, and maintaining scalable data infrastructure and systems that support analytics, machine learning, and business intelligence initiatives. This role combines technical expertise with leadership, guiding a team of data engineers while collaborating cross-functionally to ensure data is reliable, accessible, and aligned with organizational goals. In this role, you will:
- Lead the design and evolution of enterprise-scale data architecture across GCP, BigQuery, Snowflake, PostgreSQL, and Databricks environments
- Build, optimize, and maintain scalable ELT pipelines using Python, dbt, Hevo, Spark, Informatica, and Fivetran.
- Define and implement data modeling standards to support analytics, reporting, and data science use cases
- Drive data quality, governance, and lineage initiatives to ensure trusted and compliant data assets
- Partner with cross-functional teams—including analytics, data science, product, and business stakeholders—to deliver impactful data solutions
- Establish best practices for DataOps, including CI/CD, testing, monitoring, and deployment of data pipelines
- Optimize performance and cost efficiency across large-scale data platforms and cloud infrastructure
- Lead incident response and root cause analysis for data pipeline and platform issues
- Translate business requirements into scalable, maintainable, and secure data engineering solutions
KEY RESPONSIBILITIES
- Lead technical design and implementation of data engineering solutions, ensuring best practices and high-quality deliverables.
- Mentor and guide junior engineers, conducting code reviews and technical sessions to foster team growth.
- Perform detailed analysis of raw data sources by applying business context and collaborate with cross-functional teams to transform raw data into data products
- Create scalable and trusted data pipelines which generate curated data assets in centralized data lake/data warehouse ecosystems.
- Monitor and troubleshoot data pipeline performance, identifying and resolving bottlenecks and issues.
- Create and maintain effective documentation for projects and practices, ensuring transparency and effective team communication.
- Provide technical leadership and mentorship on continuous improvement in building reusable and scalable solutions.
- Design, build, and enhance semantic layer content, including shared dbt models and reusable components that support scalable analytics.
REQUIRED EXPERIENCE & QUALIFICATIONS
- Education: Bachelor's Degree or Advanced/Master's Degree in Computer Science, Software Engineering, Economics, Statistics, Applied Math, or other quantitative disciplines.
- 7-10 years of experience working with Python, SQL, PySpark, and bash scripts. Proficient in software development lifecycle and software engineering practices.
- 5+ years of experience developing and maintaining robust data pipelines for both structured and unstructured data for advanced analytical and reporting use cases.
- 3+ years of experience working with Cloud Data Warehousing (Redshift, Snowflake, Databricks SQL, BigQuery or equivalent) platforms and distributed frameworks like Spark.
- Hands-on experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Github, Bitbucket), orchestration (Airflow, Prefect or equivalent).
- Strong knowledge of data modeling, ETL/ELT design, and data warehousing methodologies.
CRITICAL SKILLS & ATTRIBUTES
Tools:
- Strong experience with programming languages in various combinations: SQL, Python
- Hands-on experience with cloud computing, preferably Google Cloud Platform
- Advanced expertise with Microsoft Office products.
Traits:
- Enterprise architecture and systems thinking
- Leadership, mentoring, and team scaling
- Cross-functional collaboration and stakeholder alignment
- Strong problem-solving and decision-making skills
- Focus on data reliability, performance, and governance
If you would like to know more about the California Consumer Privacy Act click here.
An equal opportunity employer, PHOENIX does not discriminate in recruiting, hiring or any other terms and conditions of employment hiring on the basis of any federal, state, or locally protected characteristic. PHOENIX only hires individuals authorized for employment in the United States. PHOENIX is committed to providing reasonable accommodation to individuals with disabilities. If you need an accommodation to search and apply for a job position due to a disability, please call 1-800-964-9793 and say 'Associate Relations' or send an e-mail to AssociateRelations@Express.com and let us know the nature of your request and your contact information.
Notification to Agencies: Please note that PHOENIX does not accept unsolicited resumes or calls from third-party recruiters or employment agencies. In the absence of a signed Master Service Agreement and approval from HR to submit resumes for a specific requisition, PHOENIX will not consider or approve payment to any third-parties for hires made.
INTRODUCTION
About PHOENIX
PHOENIX Retail, LLC is a retail platform operating the Express and Bonobos brands worldwide. Express is a multichannel apparel brand dedicated to a design philosophy rooted in modern, confident and effortless style whether dressing for work, everyday or special occasions. Bonobos is a menswear brand known for being pioneers of exceptional fit and a personalized, innovative retail model. Customers can experience our brands in over 400 Express retail and Express Factory Outlet stores, 50 Bonobos Guideshops, and online at www.express.com and www.bonobos.com.
About Express
Express is a multichannel apparel brand dedicated to creating confidence and inspiring self-expression. Since its launch in 1980, the brand has embraced a design philosophy rooted in modern, confident and effortless style. Whether dressing for work, everyday or special occasions, Express ensures you look and feel your best, wherever life takes you.
The Company operates over 400 retail and outlet stores in the United States and Puerto Rico, the express.com online store and the Express mobile app.
LOCATION
Location Name: Columbus Corporate Headquarters
Responsibilities
The Technical Consultant is responsible for designing, building, and maintaining scalable data infrastructure and systems that support analytics, machine learning, and business intelligence initiatives. This role combines technical expertise with leadership, guiding a team of data engineers while collaborating cross-functionally to ensure data is reliable, accessible, and aligned with organizational goals. In this role, you will:
- Lead the design and evolution of enterprise-scale data architecture across GCP, BigQuery, Snowflake, PostgreSQL, and Databricks environments
- Build, optimize, and maintain scalable ELT pipelines using Python, dbt, Hevo, Spark, Informatica, and Fivetran.
- Define and implement data modeling standards to support analytics, reporting, and data science use cases
- Drive data quality, governance, and lineage initiatives to ensure trusted and compliant data assets
- Partner with cross-functional teams—including analytics, data science, product, and business stakeholders—to deliver impactful data solutions
- Establish best practices for DataOps, including CI/CD, testing, monitoring, and deployment of data pipelines
- Optimize performance and cost efficiency across large-scale data platforms and cloud infrastructure
- Lead incident response and root cause analysis for data pipeline and platform issues
- Translate business requirements into scalable, maintainable, and secure data engineering solutions
KEY RESPONSIBILITIES
- Lead technical design and implementation of data engineering solutions, ensuring best practices and high-quality deliverables.
- Mentor and guide junior engineers, conducting code reviews and technical sessions to foster team growth.
- Perform detailed analysis of raw data sources by applying business context and collaborate with cross-functional teams to transform raw data into data products
- Create scalable and trusted data pipelines which generate curated data assets in centralized data lake/data warehouse ecosystems.
- Monitor and troubleshoot data pipeline performance, identifying and resolving bottlenecks and issues.
- Create and maintain effective documentation for projects and practices, ensuring transparency and effective team communication.
- Provide technical leadership and mentorship on continuous improvement in building reusable and scalable solutions.
- Design, build, and enhance semantic layer content, including shared dbt models and reusable components that support scalable analytics.
REQUIRED EXPERIENCE & QUALIFICATIONS
- Education: Bachelor's Degree or Advanced/Master's Degree in Computer Science, Software Engineering, Economics, Statistics, Applied Math, or other quantitative disciplines.
- 7-10 years of experience working with Python, SQL, PySpark, and bash scripts. Proficient in software development lifecycle and software engineering practices.
- 5+ years of experience developing and maintaining robust data pipelines for both structured and unstructured data for advanced analytical and reporting use cases.
- 3+ years of experience working with Cloud Data Warehousing (Redshift, Snowflake, Databricks SQL, BigQuery or equivalent) platforms and distributed frameworks like Spark.
- Hands-on experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Github, Bitbucket), orchestration (Airflow, Prefect or equivalent).
- Strong knowledge of data modeling, ETL/ELT design, and data warehousing methodologies.
CRITICAL SKILLS & ATTRIBUTES
Tools:
- Strong experience with programming languages in various combinations: SQL, Python
- Hands-on experience with cloud computing, preferably Google Cloud Platform
- Advanced expertise with Microsoft Office products.
Traits:
- Enterprise architecture and systems thinking
- Leadership, mentoring, and team scaling
- Cross-functional collaboration and stakeholder alignment
- Strong problem-solving and decision-making skills
- Focus on data reliability, performance, and governance
If you would like to know more about the California Consumer Privacy Act click here.
An equal opportunity employer, PHOENIX does not discriminate in recruiting, hiring or any other terms and conditions of employment hiring on the basis of any federal, state, or locally protected characteristic. PHOENIX only hires individuals authorized for employment in the United States. PHOENIX is committed to providing reasonable accommodation to individuals with disabilities. If you need an accommodation to search and apply for a job position due to a disability, please call 1-800-964-9793 and say 'Associate Relations' or send an e-mail to AssociateRelations@Express.com and let us know the nature of your request and your contact information.
Notification to Agencies: Please note that PHOENIX does not accept unsolicited resumes or calls from third-party recruiters or employment agencies. In the absence of a signed Master Service Agreement and approval from HR to submit resumes for a specific requisition, PHOENIX will not consider or approve payment to any third-parties for hires made.
Technical Consultant Job Roles in Ohio
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Search Technical Consultant Jobs in OhioTechnical Consultant Jobs in Ohio: Frequently Asked Questions
Which companies sponsor visas for technical consultants in Ohio?
Large consulting firms and enterprise technology employers are the most consistent sponsors for technical consultant roles in Ohio. Deloitte, Accenture, and Infosys all maintain Ohio operations and have filed H-1B petitions for technical consulting positions. Major in-state employers including Nationwide Insurance, Huntington Bancshares, and Battelle Memorial Institute have also sponsored technical consultants. IT services firms with Ohio delivery centers tend to sponsor at higher volumes than smaller regional firms.
Which visa types are most common for technical consultant roles in Ohio?
The H-1B is the most common visa category for technical consultant roles in Ohio, as the work typically qualifies as a specialty occupation requiring at least a bachelor's degree in a directly related field such as computer science, information systems, or engineering. Candidates already in the U.S. on OPT or STEM OPT can work in these roles while their employer pursues H-1B sponsorship. The L-1B intracompany transferee visa is also relevant for consultants moving from a foreign affiliated office to an Ohio-based employer entity.
Which cities in Ohio have the most technical consultant sponsorship jobs?
Columbus concentrates the largest share of technical consultant sponsorship opportunities in Ohio, driven by its insurance, financial services, and state government IT sectors. Cleveland supports consulting demand through healthcare systems like Cleveland Clinic and manufacturing-adjacent technology work. Cincinnati's corporate base, including Procter and Gamble and Fifth Third Bank, generates steady demand for enterprise and systems consultants. Dayton has a smaller but active market connected to defense and aerospace technology contractors.
How to find technical consultant visa sponsorship jobs in Ohio?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can browse technical consultant roles in Ohio without sorting through positions that don't offer sponsorship. Search by role type and state to surface openings at consulting firms, financial institutions, and enterprise technology employers across Columbus, Cleveland, and Cincinnati. Filtering by sponsorship upfront saves significant time compared to researching each employer's immigration history separately.
Are there state-specific considerations for technical consultants pursuing sponsorship in Ohio?
Ohio does not impose state-level visa sponsorship requirements beyond federal obligations, but employers filing H-1B petitions must meet Department of Labor prevailing wage standards for the specific metropolitan area where the work is performed. Columbus, Cleveland, and Cincinnati each have distinct prevailing wage determinations, so a technical consultant role in Columbus may have a different wage threshold than the same role in a smaller Ohio metro. Candidates placed at client sites across multiple Ohio locations should confirm with their employer how work location is reported on the Labor Condition Application.
What is the prevailing wage for sponsored technical consultant 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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