Data Analytics Engineer Jobs in Florida
Data Analytics Engineer jobs in Florida are open across Tampa, Miami, and Jacksonville and other Florida metros, with employers like LTIMindtree, Citi, and Humana hiring at every experience level. Find a role that fits below and apply directly.
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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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See All 199+ Data Analytics Engineer Jobs in Florida
Find roles in Florida that match your experience and apply in just a few clicks.
Find Data Analytics Engineer JobsData Analytics Engineer Jobs by City in Florida
Where Florida roles are concentrated, by current openings.
Data Analytics Engineer Job Market in Florida
A snapshot from current Florida openings, updated as new roles post.
Who's Hiring
- LTIMindtree28

- Citi15

- Humana8

- Tampa Electric Company6

- Photon5

Top Industries Hiring
- Technology & Software61
- Investment & Asset Management18
- Banking & Financial Services13
- Construction & Real Estate13
- Healthcare & Medical Services11
What Florida Employers Look For
The qualifications that appear most often in data analytics engineer jobs across Florida.
- Proficiency in SQL and at least one analytical language such as Python
- Experience with cloud data warehouses like Snowflake, BigQuery, or Redshift
- Hands-on experience building and maintaining dbt models in production
- Familiarity with orchestration tools such as Airflow, Prefect, or Dagster
- Bachelor's degree in computer science, statistics, engineering, or a related field
- Ability to translate business questions into dimensional data models and schemas
Data Analytics Engineer Jobs in Florida: Frequently Asked Questions
How many data analytics engineer jobs are there in Florida?
There are 199+ data analytics engineer openings in Florida on Migrate Mate as of June 2026, with the most roles in Tampa, Miami, and Jacksonville. New positions post regularly as employers across Florida hire.
How much do data analytics engineers make in Florida?
Data analytics engineers in Florida earn a median of about $115,820 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $63,080 for the lowest 10% to over $174,140 for the top 10%. Pay rises with experience, specialty, and employer.
Which Florida cities have the most data analytics engineer jobs?
Tampa, Miami, and Jacksonville have the most data analytics engineer openings in Florida right now, with additional roles spread across smaller metros statewide.
Which companies hire data analytics engineers in Florida?
Employers hiring data analytics engineers in Florida include LTIMindtree, Citi, and Humana, based on current listings on Migrate Mate as of June 2026.
Are there remote data analytics engineer jobs in Florida?
Yes. About 25% of data analytics engineer openings tied to Florida are remote or hybrid as of June 2026. The rest are on-site roles based in Florida metros.
How do I apply for data analytics engineer jobs in Florida?
You can apply to data analytics engineer jobs in Florida directly on Migrate Mate. Search the listings above, find roles that match your experience and preferred Florida location, then apply to each one that fits.
See All 199+ Data Analytics Engineer Jobs in Florida
Find roles in Florida that match your experience and apply in just a few clicks.
Find Data Analytics Engineer Jobs