Florida Gulf Coast University H-1B Visa Sponsorship Jobs USA
Florida Gulf Coast University sponsors H-1B visas primarily for faculty, research, and specialized professional roles across its academic departments. As a public university in Southwest Florida, FGCU offers a consistent pathway for international talent in education and related fields, making it a viable H-1B sponsor worth targeting.
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Get Access To All JobsJob Summary
The Data Engineer II supports data informed decision making by designing, building, and maintaining modern data pipelines, data models, and enterprise data warehousing solutions aligned with institutional goals. The role ensures reliable, scalable data ingestion, transformation, and delivery while maintaining high standards for data quality, integrity, and governance. It collaborates closely with functional and technical stakeholders to translate institutional and analytical requirements into sustainable data engineering solutions.
FGCU is building a culture of curiosity, commitment and collaboration. We value employees who successfully work with others and drive positive change through critical thinking and decisive action. If you thrive in an environment of innovation, accountability and mutual respect, you will find a good home here.
Job Description
Typical duties include but are not limited to:
- Partners with stakeholders to determine data requirements and desired outcomes, translating strategic and operational needs into sustainable data engineering and analytics solutions.
- Designs, builds, and maintains modern, automated data pipelines and system‑to‑system integrations to support reliable ingestion, transformation, and delivery of data using containerized services, scripting languages, APIs, and enterprise integration platforms such as Boomi.
- Develops, maintains, and optimizes enterprise data warehousing solutions within cloud‑based analytical platforms such as Snowflake, utilizing modern data modeling methodologies including Data Vault 2.0 and SQL‑based transformation and querying to support scalable, auditable analytics.
- Designs, develops, and maintains analytical and reporting data models that support complex statistical analysis, operational reporting, and institutional decision‑making.
- Collects, manages, validates, and cleans data from multiple internal and external sources; performs root‑cause analysis of data issues and develops documented standards, procedures, and controls to ensure ongoing data quality, integrity, and governance.
- Analyzes data using quantitative and qualitative techniques to validate pipeline outputs, evaluate results, and support continuous improvement of analytics and reporting processes.
- Designs, builds, and supports visual analytics, dashboards, and reporting solutions using business intelligence platforms such as Tableau and Power BI, enabled by well‑modeled and curated datasets.
- Creates, maintains, and updates complex reports, accreditation documentation, and assessment materials by ensuring the underlying data structures, warehouse models, and transformations are accurate, complete, and reliable.
- Utilizes appropriate statistical and analytical software to analyze and interpret data in support of reporting, assessment, and institutional research needs.
- Reviews data engineering and analytics processes, evaluates outcomes, recommends improvements, and promotes best practices in data integration, data warehousing, analytics, and reporting.
- Researches, develops, and implements new techniques, tools, and procedures that enhance the university’s data infrastructure, analytics capabilities, and reporting efficiency.
Other Duties:
- Collaborates with other institutional departments to create and enforce data standards, definitions, coding and reporting practices.
- Develops new techniques and procedures to enhance university analytics process.
- Performs other duties as assigned.
Required Qualifications:
- This position requires either eight years of directly related full-time experience or, as an alternative, a Bachelor’s degree from an accredited institution in an appropriate area of specialization and four years of full-time experience directly related to the job functions.
- Experience working with containerized development environments.
- Experience using SQL and Python.
- Experience supporting system‑to‑system data integration or data movement using relevant tools or technologies.
- Experience working with data systems that support reporting, analysis, and business decision‑making.
- Any appropriate combination of relevant education, experience, and/or certifications may be considered.
Preferred Qualifications:
- Master’s Degree from an accredited institution in Computer Science, Data Science, Data Engineering, Information Systems, or related field.
- Experience in systems analysis, process design, and end‑to‑end solution development in complex organizational environments, translating business needs into scalable technical solutions.
- Experience consuming and integrating data from RESTful APIs and external systems to support automated data ingestion and system interoperability.
- Work experience in higher education.
- Experience working with enterprise administrative systems such as Banner, Workday, or similar Student Information Systems or ERP platforms, including reporting, data integration, and database development.
- Strong experience using SQL and Python for data transformation, automation, validation, and development of scalable analytical workflows.
- Experience with Snowflake, including data ingestion, modeling techniques, performance tuning, cost optimization, and security configuration.
- Experience with the administration, architectural design, development, and support of reporting and analytics platforms used for dashboards, visual analytics, and self‑service reporting.
- Experience designing, building, and maintaining data pipelines using Python, Docker, RESTful APIs, and Boomi.
Knowledge, Skills & Abilities:
- Knowledge of data engineering, relational databases, SQL, data modeling, and cloud data warehousing concepts supporting analytics and reporting.
- Knowledge of data integration methods using APIs, enterprise integration tools (e.g., Boomi), and containerized environments (e.g., Docker) supporting scalable data workflows.
- Knowledge of data governance, data quality, and institutional reporting concepts, including enterprise systems (e.g., Banner, Workday) and BI tools (e.g., Tableau, Power BI).
- Skill in designing and maintaining data pipelines, data models, and analytical workflows using SQL, Python, APIs, and related tools.
- Skill in transforming, validating, and optimizing data within cloud data warehouse environments (e.g., Snowflake).
- Skill in developing dashboards, reports, and visual analytics using BI tools such as Tableau and Power BI.
- Skill in organizing and coordinating data engineering work, documenting processes, and managing multiple technical priorities.
- Skill in analyzing complex datasets, applying analytical reasoning, and communicating insights and recommendations clearly to both technical and non‑technical audiences.
- Ability to translate business needs into technical data and reporting solutions.
- Proven ability to think strategically and approach challenges with creativity.
- Demonstrated track record of reliability, meeting goals, and holding oneself accountable.
- Strong interpersonal skills and experience working effectively across teams.
Institutional Values & Behavioral Expectation
In this role, the successful candidate will be expected to:
- Seek out new approaches to improve outcomes; remain open to feedback and new ideas.
- Lead with integrity; consistently produce high‑quality work; persevere to overcome obstacles to meet deadlines and achieve deliverables.
- Share information and insights thoughtfully; build partnerships across departments; communicate respectfully; support colleagues to achieve common goals.
Pay Grade 19
FGCU is a State University System of Florida member and an Equal Opportunity and Equal Access employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, disability, or protected veteran status.
Job Summary
The Data Engineer II supports data informed decision making by designing, building, and maintaining modern data pipelines, data models, and enterprise data warehousing solutions aligned with institutional goals. The role ensures reliable, scalable data ingestion, transformation, and delivery while maintaining high standards for data quality, integrity, and governance. It collaborates closely with functional and technical stakeholders to translate institutional and analytical requirements into sustainable data engineering solutions.
FGCU is building a culture of curiosity, commitment and collaboration. We value employees who successfully work with others and drive positive change through critical thinking and decisive action. If you thrive in an environment of innovation, accountability and mutual respect, you will find a good home here.
Job Description
Typical duties include but are not limited to:
- Partners with stakeholders to determine data requirements and desired outcomes, translating strategic and operational needs into sustainable data engineering and analytics solutions.
- Designs, builds, and maintains modern, automated data pipelines and system‑to‑system integrations to support reliable ingestion, transformation, and delivery of data using containerized services, scripting languages, APIs, and enterprise integration platforms such as Boomi.
- Develops, maintains, and optimizes enterprise data warehousing solutions within cloud‑based analytical platforms such as Snowflake, utilizing modern data modeling methodologies including Data Vault 2.0 and SQL‑based transformation and querying to support scalable, auditable analytics.
- Designs, develops, and maintains analytical and reporting data models that support complex statistical analysis, operational reporting, and institutional decision‑making.
- Collects, manages, validates, and cleans data from multiple internal and external sources; performs root‑cause analysis of data issues and develops documented standards, procedures, and controls to ensure ongoing data quality, integrity, and governance.
- Analyzes data using quantitative and qualitative techniques to validate pipeline outputs, evaluate results, and support continuous improvement of analytics and reporting processes.
- Designs, builds, and supports visual analytics, dashboards, and reporting solutions using business intelligence platforms such as Tableau and Power BI, enabled by well‑modeled and curated datasets.
- Creates, maintains, and updates complex reports, accreditation documentation, and assessment materials by ensuring the underlying data structures, warehouse models, and transformations are accurate, complete, and reliable.
- Utilizes appropriate statistical and analytical software to analyze and interpret data in support of reporting, assessment, and institutional research needs.
- Reviews data engineering and analytics processes, evaluates outcomes, recommends improvements, and promotes best practices in data integration, data warehousing, analytics, and reporting.
- Researches, develops, and implements new techniques, tools, and procedures that enhance the university’s data infrastructure, analytics capabilities, and reporting efficiency.
Other Duties:
- Collaborates with other institutional departments to create and enforce data standards, definitions, coding and reporting practices.
- Develops new techniques and procedures to enhance university analytics process.
- Performs other duties as assigned.
Required Qualifications:
- This position requires either eight years of directly related full-time experience or, as an alternative, a Bachelor’s degree from an accredited institution in an appropriate area of specialization and four years of full-time experience directly related to the job functions.
- Experience working with containerized development environments.
- Experience using SQL and Python.
- Experience supporting system‑to‑system data integration or data movement using relevant tools or technologies.
- Experience working with data systems that support reporting, analysis, and business decision‑making.
- Any appropriate combination of relevant education, experience, and/or certifications may be considered.
Preferred Qualifications:
- Master’s Degree from an accredited institution in Computer Science, Data Science, Data Engineering, Information Systems, or related field.
- Experience in systems analysis, process design, and end‑to‑end solution development in complex organizational environments, translating business needs into scalable technical solutions.
- Experience consuming and integrating data from RESTful APIs and external systems to support automated data ingestion and system interoperability.
- Work experience in higher education.
- Experience working with enterprise administrative systems such as Banner, Workday, or similar Student Information Systems or ERP platforms, including reporting, data integration, and database development.
- Strong experience using SQL and Python for data transformation, automation, validation, and development of scalable analytical workflows.
- Experience with Snowflake, including data ingestion, modeling techniques, performance tuning, cost optimization, and security configuration.
- Experience with the administration, architectural design, development, and support of reporting and analytics platforms used for dashboards, visual analytics, and self‑service reporting.
- Experience designing, building, and maintaining data pipelines using Python, Docker, RESTful APIs, and Boomi.
Knowledge, Skills & Abilities:
- Knowledge of data engineering, relational databases, SQL, data modeling, and cloud data warehousing concepts supporting analytics and reporting.
- Knowledge of data integration methods using APIs, enterprise integration tools (e.g., Boomi), and containerized environments (e.g., Docker) supporting scalable data workflows.
- Knowledge of data governance, data quality, and institutional reporting concepts, including enterprise systems (e.g., Banner, Workday) and BI tools (e.g., Tableau, Power BI).
- Skill in designing and maintaining data pipelines, data models, and analytical workflows using SQL, Python, APIs, and related tools.
- Skill in transforming, validating, and optimizing data within cloud data warehouse environments (e.g., Snowflake).
- Skill in developing dashboards, reports, and visual analytics using BI tools such as Tableau and Power BI.
- Skill in organizing and coordinating data engineering work, documenting processes, and managing multiple technical priorities.
- Skill in analyzing complex datasets, applying analytical reasoning, and communicating insights and recommendations clearly to both technical and non‑technical audiences.
- Ability to translate business needs into technical data and reporting solutions.
- Proven ability to think strategically and approach challenges with creativity.
- Demonstrated track record of reliability, meeting goals, and holding oneself accountable.
- Strong interpersonal skills and experience working effectively across teams.
Institutional Values & Behavioral Expectation
In this role, the successful candidate will be expected to:
- Seek out new approaches to improve outcomes; remain open to feedback and new ideas.
- Lead with integrity; consistently produce high‑quality work; persevere to overcome obstacles to meet deadlines and achieve deliverables.
- Share information and insights thoughtfully; build partnerships across departments; communicate respectfully; support colleagues to achieve common goals.
Pay Grade 19
FGCU is a State University System of Florida member and an Equal Opportunity and Equal Access employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, disability, or protected veteran status.
Job Roles at Florida Gulf Coast University
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Get Access To All JobsTips for Finding Florida Gulf Coast University H-1B Jobs
Target academic and research departments directly
FGCU's H-1B sponsorship is concentrated in faculty and research positions. Focus your search on departments hiring instructors, researchers, or specialized professional staff rather than general administrative or support roles.
Understand how university H-1B sponsorship works
Universities like FGCU typically initiate H-1B petitions through their HR or international faculty office after a job offer is made. Confirming sponsorship willingness before applying saves time and avoids wasted effort.
Use a platform that filters by real sponsorship history
Not every FGCU job posting will state sponsorship availability upfront. Migrate Mate surfaces verified H-1B sponsors so you can confirm FGCU's sponsorship track record before investing time in an application.
Apply ahead of the H-1B cap season
If you're not already in H-1B status, timing matters. FGCU roles with cap-exempt status may offer more flexibility, but confirm this with their HR team early since universities can qualify for cap-exempt filing in some cases.
Highlight credentials that align with specialty occupation requirements
FGCU must demonstrate your role qualifies as a specialty occupation for H-1B approval. Emphasize your degree field and how it directly relates to the specific position you're applying for in your application materials.
Connect with FGCU's international faculty office
FGCU's office handling international employees can clarify which departments are actively sponsoring, typical processing timelines, and any internal requirements beyond the standard USCIS H-1B petition process.
Florida Gulf Coast University H-1B Visa Sponsorship: Frequently Asked Questions
Does Florida Gulf Coast University sponsor H-1B visas?
Yes, Florida Gulf Coast University sponsors H-1B visas for qualifying positions. Sponsorship is most common in faculty, research, and specialized professional roles where the position meets USCIS specialty occupation standards. As a public university, FGCU has an established process for supporting international employees through its HR and international faculty offices.
Which roles and departments at Florida Gulf Coast University typically receive H-1B sponsorship?
H-1B sponsorship at FGCU is most common in tenure-track and visiting faculty positions, research roles, and professional staff positions that require a specialized degree. Academic departments in sciences, technology, business, and health sciences are among the most active in hiring international candidates through H-1B sponsorship.
How do I apply for a job at Florida Gulf Coast University with H-1B sponsorship?
Start by applying to open positions through FGCU's careers portal. After receiving a job offer, the sponsoring department works with FGCU's HR and an immigration attorney to file your H-1B petition with USCIS. Migrate Mate can help you identify which FGCU roles have a verified sponsorship history before you apply, saving you time in the process.
How long does the H-1B sponsorship process take at Florida Gulf Coast University?
Once FGCU extends a job offer and initiates sponsorship, the standard H-1B petition timeline typically runs several months from Labor Condition Application filing through USCIS adjudication. If you need a faster decision, FGCU may have the option to use premium processing, though policies vary. Confirm the expected timeline with FGCU's HR office early in the process.
What can I do to strengthen my H-1B sponsorship chances at Florida Gulf Coast University?
Position your application around roles where your degree field directly matches the job requirements, since that connection is central to H-1B specialty occupation approval. Research FGCU's academic departments before applying, demonstrate how your qualifications serve their specific needs, and be transparent about your visa situation early in conversations with hiring managers.
What is the prevailing wage for H-1B jobs at Florida Gulf Coast University?
H-1B employers must pay at least the prevailing wage, which is determined when they file the Labor Condition Application with the Department of Labor. The rate is based on the role, location, and experience level, and ensures international hires are paid comparably to U.S. workers in the same position. You can look up prevailing wage rates for any occupation and location using the DOL's OFLC Wage Search tool.