Data Analytics Engineer Visa Sponsorship Jobs in Florida
Florida's data analytics engineer market spans Miami's fintech and tech startup scene, Tampa's growing healthcare and financial services sector, and Orlando's hospitality and defense technology hubs. Major employers including Chewy, Tech Data, and Citigroup have active data and analytics teams across the state. The market actively supports H-1B visa sponsorship for qualified international candidates.
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POWER UP A CAREER WITH US
Our people power everything we do.
At Tampa Electric, dependable electricity starts with dedicated individuals whose talent, skill, and passion drive our success. We’ve been lighting the way for West Central Florida for more than 125 years—and we’re just getting started.
Join us and build a rewarding career with competitive pay, comprehensive benefits, and a culture that supports your growth. Your potential finds its purpose at Tampa Electric.
We proudly deliver 99.98% electric service reliability to nearly 860,000 customers across 2,000 square miles of Hillsborough County and parts of Polk, Pasco, and Pinellas counties. Through innovation and strategic investments, we’re creating a cleaner, brighter energy future—while delivering exceptional service every step of the way.
We reflect the communities we serve and foster a workplace where every employee feels welcomed, valued, and engaged. Join our team of energy experts and help shape the future of power.
Storm Duty Requirements
Tampa Electric and its sister companies serve a role in providing critical services to our community during an emergency. Team members are required to participate in the response/recovery activities related to emergencies/disasters to maintain service to our Tampa Electric customers. Team members are required to work in their normal job duties or other assigned activities. Proper compensation will be made in accordance with the company's rules and procedures.
Responding to storms will be considered a condition of employment.
Tampa Electric is proud to be an Equal Opportunity Employer. To learn more, please click on link below:
Disclosure Statements
Title: Enterprise Analytics Data Engineer
Company: Tampa Electric Company
Location: Midtown East Tower
State and City: Florida - Tampa
Shift: 8 Hr. X 5 Days
Hiring Manager: Miral Vora
Recruiter: Mark Koener
TITLE: Enterprise Analytics Data Engineer
PERFORMANCE COACH: Manager, Business Intelligence and Analytics
COMPANY: Tampa Electric Company
DEPARTMENT: Information Technologies/Advanced Digital Solutions
POSITION CONCEPT
The Data Architects are responsible for the “back end” components of the organization's BIA environment from standards, architecture, and design perspectives. Overall responsibility for the implementation and support of the data movement and engineering processes required to populate the organization's custom-built analytic data structures (e.g., staging areas, data warehouse, and data marts) as well as the design of these structures. Responsible for the strategy and design related to the ‘federation’ of custom-built data architecture with vendor-provided solutions. Provides technical oversight and assures the quality of the work done by data analysts and data engineers and developers. Serve as a subject matter expert with significant, recent hands-on experience with state-of-the-art data integration and cleansing tools available in the SAP and Azure platforms etc. Responsible for assuring that data integration and cleansing tool suites are effectively deployed and applications are developed based on industry and vendor-specified best practices. Responsibility for ensuring that the organization's analytic data architecture effectively enables needed applications and develops standards in the areas of data modeling, metadata management, data integration, and master data management.
FOCUS AREAS:
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Expert-level SQL, Python, and ETL/ELT pipeline design using tools like dbt, Fivetran, and Airbyte. Proficient in both batch and streaming architectures to support high-volume enterprise workloads.
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Hands-on experience with cloud data warehouses (Snowflake, BigQuery, Redshift) and lakehouse platforms such as Databricks and Delta Lake. Ability to build and maintain scalable, cost-optimized infrastructure using Terraform or equivalent IaC tooling.
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Strong foundation in dimensional modeling, star schema design, and slowly changing dimensions. Experience implementing enterprise-grade semantic layers and dbt best practices across staging, marts, and reusable macros.
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Proficient in workflow orchestration tools (Airflow, Prefect, or Dagster) with experience building CI/CD pipelines for data products. Comfortable with containerization (Docker, Kubernetes) and managing SLA-driven production environments.
PRIMARY DUTIES AND RESPONSIBILITIES
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Define and evolve the data architecture in alignment with enterprise standards to support diverse use cases such as reporting, OLAP, dashboards, data mining, and statistical analysis. Ensure the architecture meets operational requirements including scalability, security, reliability, and flexibility. Determine the appropriate deployment environment, whether cloud-based or on-premise. 25%
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The Data Architect, in alignment with enterprise standards, is responsible for establishing best practices for source data analysis, ETL design and documentation, data federation across platforms (e.g., AMI, Empower, custom analytics), business rule placement (with the Information Architect), ETL testing and release management (with the Change Coordinator), database-level security (with DBAs), and data masking, anonymization, and tokenization. 15%
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The Data Architect translates user requirements into data models and supporting applications by guiding data analysts in source analysis, advising ETL developers, and designing logical and physical analytic data structures. Responsibilities include deploying metadata tools to document data sources, analytic structures, semantic layers, and BI applications; implementing security for data integration and cleansing tools; collaborating on support environments and release management best practices; overseeing the operational environment; and working with DBAs and operations teams to monitor and optimize ETL and data structure performance. 15%
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Accountable for the quality of data model and ETL application deliverables and so is responsible for establishing and managing QA related functions including:
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Testing (unit, system, stress, etc.) and Peer reviews (e.g., reviews of data models, ETL application design, etc.). 15%
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Provides technical oversight of the activities of ETL developers and data analysts and provides coaching and mentoring to these BIA team members regarding technical skills and competencies. 15%
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Serves as a technical subject matter expert (SME) to provide consultation for BIA-related initiatives. 15%
SUPERVISION
None
RELATIONSHIPS
Key Internal: Stakeholders of the BIA Solution.
Key External: SAP, Microsoft, Oracle, Consultants (System Integrators, Offshore Teams), Contractors, Customers, Vendors.
QUALIFICATIONS
Education
Required: Bachelor’s degree in Information/Computer Science, Data/Information Management, Business Administration, Engineering, Mathematics, Information Systems, or equivalent discipline.
Preferred: At least one professional certification in specific job-related disciplines preferred in addition to the requirements above.
Direct Experience
Required: 7 years of direct work experience performing the Duties & Responsibilities of this position or performing duties closely related to the Duties & Responsibilities of this position.
Hands-on experience with state-of-the-art platforms: SAP BW4/HANA, HANA Enterprise, SQL Server, Oracle, Microsoft Azure, Microsoft PowerBI etc.
Preferred: Gas or Electric utility experience
Experience working in large public or private-sector organizations
Supervisory Experience
NONE
Knowledge/Skills/Abilities (KSA)
Required:
- Deep knowledge of and experience with SAP and Microsoft Azure suites (ETL, service bus and data quality tool components) and understanding of SAP HANA, SQL Server, Oracle, Microsoft Azure, Microsoft PowerBI etc. platforms and ability to provide thought leadership regarding their deployment.
- Deep knowledge of and experience in establishing ETL application design standards as well as in designing and implementing such applications.
Preferred:
- Demonstrated knowledge of Electric Grid Solutions such as ADMS (Advanced Distribution Management System), EMS (Energy Management System), AMI/MDM (Advanced Metering Infrastructure/Meter Data Management), Intergraph GIS (Geographical Information System)
- Knowledge of fundamentals of Data Science, Artificial Intelligence (Machine Learning etc.), Block Chain etc.
- Ability to assess emerging business & regulatory changes and articulate how these can positively impact the Company.
TECO offers a competitive Benefits package!!
Competitive Salary * 401k Savings plan w/ company matching * Pension plan * Paid time off * Paid Holiday time * Medical, Prescription Drug, & Dental Coverage * Tuition Assistance Program * Employee Assistance Program * Wellness Programs * On-site Fitness Centers * Bonus Plan and more!
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Data Analytics Engineer Job Roles in Florida
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Search Data Analytics Engineer Jobs in FloridaData Analytics Engineer Jobs in Florida: Frequently Asked Questions
Which companies sponsor visas for data analytics engineers in Florida?
Florida-based companies with documented H-1B sponsorship for data and analytics roles include Chewy (Dania Beach), Tech Data (Clearwater), Citigroup's Tampa operations, NextEra Energy (Juno Beach), and AdventHealth. Miami's fintech corridor, including companies like Kaseya and Totem, also hires analytics engineers and has sponsored international candidates.
Which visa types are most common for data analytics engineer roles in Florida?
The H-1B is the most common visa category for data analytics engineers in Florida, as the role qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, statistics, mathematics, or a related field. Candidates from Australia may qualify for the E-3 visa, Canadians and Mexicans for TN visa status, and highly accomplished individuals may qualify for the O-1A.
Which cities in Florida have the most data analytics engineer sponsorship jobs?
Miami leads for data analytics engineering roles, driven by its fintech, e-commerce, and international business sectors. Tampa is a strong second, with concentration in financial services, healthcare, and logistics analytics. Orlando has growing demand tied to hospitality technology, defense contracting, and university research partnerships, particularly through the University of Central Florida's analytics programs.
How to find data analytics engineer visa sponsorship jobs in Florida?
Migrate Mate lists data analytics engineer positions in Florida filtered specifically for roles where employers have a documented history of visa sponsorship. You can search by city, filter by visa type, and see relevant role details without sorting through listings that won't support international candidates. Migrate Mate is built for international job seekers, so every listing reflects sponsorship-relevant context.
Are there any Florida-specific considerations for data analytics engineers seeking visa sponsorship?
Florida has no state income tax, which affects prevailing wage comparisons between Florida-based offers and those in states like California or New York. Employers filing H-1B Labor Condition Applications must still meet Department of Labor prevailing wage requirements for the specific metro area, so Miami LCA wages differ from Tampa or Orlando. Florida's tech workforce pipeline is also supported by University of Florida and Florida International University graduate programs, which feed local analytics hiring.
What is the prevailing wage for sponsored data analytics 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.