Big Data Engineer Visa Sponsorship Jobs in Florida
Big data engineer visa sponsorship jobs in Florida are concentrated in Miami's fintech and health-tech sectors, Orlando's simulation and defense clusters, and Tampa's growing analytics market. Employers like Cognizant, Chewy, and AdventHealth have active sponsorship histories. The state's mix of Fortune 500 operations and emerging tech campuses creates consistent demand for distributed systems and pipeline engineering expertise.
Find Big Data Engineer JobsOverview
Showing 5 of 16+ Big Data Engineer Jobs in Florida with Visa Sponsorship
See all Big Data Engineer Jobs in Florida with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Big Data Engineer Jobs in Florida with Visa Sponsorship.
Get Access To All JobsAbout Coastal Waste & Recycling
At Coastal Waste & Recycling, we're building more than a company, we're building a team. As one of the fastest-growing privately held waste and recycling companies in the Southeast, we're looking for people who take pride in their work, put safety first, and are ready to grow with us.
Lead Enterprise Data Engineer
Coastal Waste & Recycling is looking for a Lead Enterprise Data Engineer to help lead the design, development, and reliability of our enterprise data platform during an exciting period of growth.
This role is a hands-on technical leadership opportunity focused on building scalable, reliable, and well-governed data solutions that support reporting, analytics, operational decision-making, integrations, and future AI initiatives across the business.
The Lead Enterprise Data Engineer will work closely with technology and business teams to strengthen Coastal’s data foundation, improve pipeline performance and reliability, and continue modernizing how data moves across the organization.
Work Environment
This is a full-time, in-person position based in Boca Raton, Florida.
What You’ll Do
- Serve as a technical leader for enterprise data engineering initiatives.
- Design, develop, and optimize data pipelines, ingestion frameworks, transformations, and orchestration workflows.
- Administer and optimize Snowflake environments, including databases, schemas, warehouses, roles, grants, performance, and cost management.
- Develop and maintain Azure Data Factory pipelines, triggers, integration runtimes, and data movement processes.
- Establish monitoring, alerting, retry, and failure-recovery processes for critical data pipelines.
- Build and maintain data quality controls, including source-to-target validation, reconciliation, exception handling, and supporting documentation.
- Support integrations with enterprise applications, third-party systems, APIs, cloud services, and approved data-sharing solutions.
- Follow established change management, release, and CI/CD processes for production pipelines, database objects, integrations, and platform changes.
- Partner with Enterprise Data Operations, Enterprise Analytics, Operations, Finance, Sales, People Experience, and IT to translate business and technical requirements into scalable data solutions.
- Identify opportunities to improve data engineering processes through automation, reusable frameworks, standardization, and improved monitoring.
- Support the reliability and performance of production data platforms and troubleshoot technical issues as needed.
- Maintain technical documentation for data pipelines, integrations, architecture, and production support processes.
- Support data needs related to acquisitions, system integrations, new markets, and other business growth initiatives.
- Provide technical direction, mentoring, and quality review for data engineers, analysts, contractors, and implementation partners.
What We’re Looking For
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related technical field, or equivalent professional experience.
- 7+ years of experience in data engineering, data integration, ETL/ELT development, data warehousing, or cloud data platform engineering.
- 2+ years of experience serving as a technical lead, senior engineer, solution architect, platform owner, or similar role on enterprise data projects.
- Strong experience with Snowflake administration and SQL development.
- Strong experience with Azure Data Factory or comparable enterprise data integration tools.
- Experience with cloud data architecture, API and third-party integrations, Git-based source control, and CI/CD practices.
- Experience supporting production data platforms with established monitoring, data quality, access controls, and change management practices.
- Strong troubleshooting, documentation, communication, and collaboration skills.
- Ability to explain technical concepts clearly to both technical and business stakeholders.
Preferred Experience
- Master’s degree in Computer Science, Information Systems, Data Engineering, Business Administration, or a related field.
- Microsoft Azure or Snowflake SnowPro certification.
- Experience with Python, Azure DevOps, dbt or similar transformation frameworks, Microsoft Fabric, Databricks, MDM, data governance, lakehouse architectures, or AI/ML data pipelines.
- Experience supporting a multi-location or operationally complex organization.
- Experience supporting high-growth organizations, acquisitions, or system integrations.
- Bilingual English/Spanish preferred.
Why Coastal?
Coastal Waste & Recycling continues to grow, and strong data infrastructure is increasingly important to how we operate, report, and make decisions.
This role offers the opportunity to help strengthen and modernize the enterprise data platform behind that growth. You will work on meaningful business problems, improve the reliability and scalability of core data processes, and help build the technical foundation that supports analytics, reporting, integrations, and future innovation across Coastal.
If you enjoy building reliable data systems, solving complex technical problems, and improving how an organization uses data at scale, this is an opportunity to make a meaningful impact.
Coastal Waste & Recycling is an Equal Opportunity Employer.
About Coastal Waste & Recycling
At Coastal Waste & Recycling, we're building more than a company, we're building a team. As one of the fastest-growing privately held waste and recycling companies in the Southeast, we're looking for people who take pride in their work, put safety first, and are ready to grow with us.
Lead Enterprise Data Engineer
Coastal Waste & Recycling is looking for a Lead Enterprise Data Engineer to help lead the design, development, and reliability of our enterprise data platform during an exciting period of growth.
This role is a hands-on technical leadership opportunity focused on building scalable, reliable, and well-governed data solutions that support reporting, analytics, operational decision-making, integrations, and future AI initiatives across the business.
The Lead Enterprise Data Engineer will work closely with technology and business teams to strengthen Coastal’s data foundation, improve pipeline performance and reliability, and continue modernizing how data moves across the organization.
Work Environment
This is a full-time, in-person position based in Boca Raton, Florida.
What You’ll Do
- Serve as a technical leader for enterprise data engineering initiatives.
- Design, develop, and optimize data pipelines, ingestion frameworks, transformations, and orchestration workflows.
- Administer and optimize Snowflake environments, including databases, schemas, warehouses, roles, grants, performance, and cost management.
- Develop and maintain Azure Data Factory pipelines, triggers, integration runtimes, and data movement processes.
- Establish monitoring, alerting, retry, and failure-recovery processes for critical data pipelines.
- Build and maintain data quality controls, including source-to-target validation, reconciliation, exception handling, and supporting documentation.
- Support integrations with enterprise applications, third-party systems, APIs, cloud services, and approved data-sharing solutions.
- Follow established change management, release, and CI/CD processes for production pipelines, database objects, integrations, and platform changes.
- Partner with Enterprise Data Operations, Enterprise Analytics, Operations, Finance, Sales, People Experience, and IT to translate business and technical requirements into scalable data solutions.
- Identify opportunities to improve data engineering processes through automation, reusable frameworks, standardization, and improved monitoring.
- Support the reliability and performance of production data platforms and troubleshoot technical issues as needed.
- Maintain technical documentation for data pipelines, integrations, architecture, and production support processes.
- Support data needs related to acquisitions, system integrations, new markets, and other business growth initiatives.
- Provide technical direction, mentoring, and quality review for data engineers, analysts, contractors, and implementation partners.
What We’re Looking For
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related technical field, or equivalent professional experience.
- 7+ years of experience in data engineering, data integration, ETL/ELT development, data warehousing, or cloud data platform engineering.
- 2+ years of experience serving as a technical lead, senior engineer, solution architect, platform owner, or similar role on enterprise data projects.
- Strong experience with Snowflake administration and SQL development.
- Strong experience with Azure Data Factory or comparable enterprise data integration tools.
- Experience with cloud data architecture, API and third-party integrations, Git-based source control, and CI/CD practices.
- Experience supporting production data platforms with established monitoring, data quality, access controls, and change management practices.
- Strong troubleshooting, documentation, communication, and collaboration skills.
- Ability to explain technical concepts clearly to both technical and business stakeholders.
Preferred Experience
- Master’s degree in Computer Science, Information Systems, Data Engineering, Business Administration, or a related field.
- Microsoft Azure or Snowflake SnowPro certification.
- Experience with Python, Azure DevOps, dbt or similar transformation frameworks, Microsoft Fabric, Databricks, MDM, data governance, lakehouse architectures, or AI/ML data pipelines.
- Experience supporting a multi-location or operationally complex organization.
- Experience supporting high-growth organizations, acquisitions, or system integrations.
- Bilingual English/Spanish preferred.
Why Coastal?
Coastal Waste & Recycling continues to grow, and strong data infrastructure is increasingly important to how we operate, report, and make decisions.
This role offers the opportunity to help strengthen and modernize the enterprise data platform behind that growth. You will work on meaningful business problems, improve the reliability and scalability of core data processes, and help build the technical foundation that supports analytics, reporting, integrations, and future innovation across Coastal.
If you enjoy building reliable data systems, solving complex technical problems, and improving how an organization uses data at scale, this is an opportunity to make a meaningful impact.
Coastal Waste & Recycling is an Equal Opportunity Employer.
Big Data Engineer Job Roles in Florida
See all Big Data Engineer Jobs in Florida
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Big Data Engineer Jobs in FloridaBig Data Engineer Jobs in Florida: Frequently Asked Questions
Which companies in Florida sponsor visas for big data engineers?
Florida-based employers with documented sponsorship histories for data engineering roles include Chewy in Dania Beach, AdventHealth and Lockheed Martin in Orlando, and Citrix in Fort Lauderdale. Miami-based fintech firms such as Modernizing Medicine and Ultimate Kronos Group also file regularly. Technology consulting firms like Cognizant and Infosys maintain Florida delivery centers and have sponsored big data engineers across multiple visa categories.
What visa types realistically fit big data engineer roles in Florida?
Big data engineer positions are specialty occupations requiring a directly related bachelor's degree, making them eligible for the H-1B visa, the E-3 visa for Australian nationals, and the H-1B1 visa for Chilean and Singaporean nationals. Canadian and Mexican citizens may qualify under TN visa status as engineers. F-1 students can work via OPT or, with a STEM-designated degree in computer science or engineering, the 24-month STEM OPT extension. Employer-sponsored EB-2 and EB-3 green cards are also a pathway for long-term hires.
Which cities in Florida have the most big data engineer sponsorship jobs?
Miami leads Florida for big data engineer sponsorship activity, driven by its fintech, healthcare IT, and international business sectors. Orlando follows closely, anchored by defense contractors, hospitality technology firms, and simulation companies near the University of Central Florida. Tampa has expanded significantly through financial services and health informatics employers. Jacksonville and Fort Lauderdale also show consistent sponsorship filings, particularly from insurance and technology services companies.
How to find big data engineer visa sponsorship jobs in Florida?
Migrate Mate lists Florida employers with verified visa sponsorship histories for big data engineer roles, searchable by city and employer. Because sponsorship intent is confirmed through Labor Condition Application filing records, you can focus your applications on companies that have already demonstrated willingness to sponsor rather than guessing from generic postings. Filtering to Florida-specific roles on Migrate Mate surfaces active openings at employers across Miami, Orlando, and Tampa.
Are there state-specific factors that affect big data engineer sponsorship in Florida?
Florida has no state income tax, which influences how employers structure compensation benchmarks relative to prevailing wage requirements. The state's large university system, including the University of Florida and University of Central Florida, produces a consistent pipeline of STEM graduates, making employers familiar with OPT and STEM OPT timelines. Florida's defense and aerospace sector around Orlando also generates demand for data engineers with security clearance eligibility, which can intersect with certain visa status considerations.
What is the prevailing wage for sponsored big data engineer jobs in Florida?
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.