Lead Data Engineer Visa Sponsorship Jobs in Florida
Lead data engineer roles in Florida draw sponsorship from financial services firms in Miami, defense and aerospace contractors in Orlando, and healthcare technology companies in Tampa. Major employers including Chewy, Ultimate Software, and Raymond James have established data engineering teams across the state, with Florida's growing tech sector creating consistent demand for experienced data engineering leaders.
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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.
Lead Data Engineer Job Roles in Florida
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Search Lead Data Engineer Jobs in FloridaLead Data Engineer Jobs in Florida: Frequently Asked Questions
Which companies sponsor visas for lead data engineers in Florida?
Florida-based employers with active visa sponsorship history for senior data engineering roles include Chewy in Dania Beach, Ultimate Software in Weston, Raymond James in St. Petersburg, Citrix in Fort Lauderdale, and health insurers like Humana and Centene in Tampa. Defense contractors near Orlando, including Lockheed Martin and L3Harris, also sponsor lead data engineers building data infrastructure for government and commercial programs.
What visa types realistically apply to lead data engineer roles in Florida?
Lead data engineer positions qualify as specialty occupations requiring a directly related bachelor's degree, making H-1B visa the most common path. Australian nationals can use the E-3 visa, which carries no lottery. Chilean and Singaporean nationals may qualify under the H-1B1 visa. Canadian and Mexican nationals holding an engineering degree may qualify under TN visa status. F-1 students can work via OPT or STEM OPT if their degree is STEM-designated, with employers needing to be E-Verify enrolled for STEM OPT.
How to find lead data engineer visa sponsorship jobs in Florida?
Migrate Mate lists Florida employers with verified visa sponsorship history for lead data engineer roles, letting you search by city across Miami, Orlando, Tampa, and Jacksonville. Because Migrate Mate curates only employers with confirmed sponsorship activity, you spend less time filtering out companies that have never filed for data engineering positions, which is especially useful for senior roles where sponsorship willingness varies significantly by team and budget.
Which Florida cities have the most lead data engineer sponsorship jobs?
Miami leads in volume, driven by its concentration of fintech firms, international banks, and enterprise software companies. Tampa follows closely, anchored by health technology and insurance employers. Orlando's defense and simulation industry supports steady demand, while Fort Lauderdale and Boca Raton host established tech campuses for companies like Chewy and ADT. Jacksonville has a smaller but growing data engineering market tied to financial services and logistics firms.
Are there any Florida-specific factors that affect visa sponsorship for lead data engineers?
Florida's lack of a state income tax can influence compensation structuring, which affects how employers document prevailing wage compliance for H-1B and H-1B1 visa filings. The state's strong university pipeline, including University of Florida and University of South Florida, feeds local employer networks. Florida also has a significant concentration of Latin American-headquartered tech companies in Miami, some of which are experienced with sponsoring international data engineers from South American and European markets.
What is the prevailing wage for sponsored lead 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.