1

Data Structure Jobs in Florida (NOW HIRING)

Strong understanding of data structures, data types, and data transformation. * Familiarity with industry data patterns, normalizations rules and data performance tuning. * Ability to perform complex ...

Overall responsibility for the implementation and support of the data movement and engineering processes required to populate the organizations custom-built analytic data structures (e.g., staging ...

Overall responsibility for the implementation and support of the data movement and engineering processes required to populate the organizations custom-built analytic data structures (e.g., staging ...

Overall responsibility for the implementation and support of the data movement and engineering processes required to populate the organizations custom-built analytic data structures (e.g., staging ...

Overall responsibility for the implementation and support of the data movement and engineering processes required to populate the organizations custom-built analytic data structures (e.g., staging ...

Data Layer Engineer

Tampa, FL · On-site

$108K - $129K/yr

This role manages ETL processes, data structuring, and schema management with expertise in ESRI geospatial data layers and cloud-based geospatial services. This future opportunity is contingent upon ...

Translate complex business processes, entities, and relationships into well-structured data domains and models. * Partner closely with business stakeholders to understand workflows, metrics, and ...

Data Architect

Orlando, FL

$59.50 - $76.50/hr

Manage data structures, performance management and tuning, data ingest into the databases, system monitoring, capacity management, availability management, backup / restore. Should possess strong ...

Data Engineer

Hurlburt Field, FL · On-site

$73K - $175K/yr

We focus on challenges in Information Warfare, Cyber Operations, Operational Security, and Data Structuring, enabling end-to-end solutions that drive operational impact. We are committed to ...

Data Engineer

Hurlburt Field, FL · On-site

$104K - $125K/yr

We focus on challenges in Information Warfare, Cyber Operations, Operational Security, and Data Structuring, enabling end-to-end solutions that drive operational impact. We are committed to ...

Data Architect

Orlando, FL · On-site

$59.50 - $76.50/hr

... structures, performance management and tuning, data ingest into the databases, system monitoring, capacity management, availability management, backup / restore. • Should possess strong data ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Drive standardization and templatization of data structures, pipeline patterns, and ingestion processes to ensure consistency, reduce technical debt, and make the platform easier to scale. * Ensure ...

next page

Showing results 1-20

Data Structure information

See Florida salary details

$34.4K

$123.3K

$182K

How much do data structure jobs pay per year?

As of Jul 19, 2026, the average yearly pay for data structure in Florida is $123,317.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $127,000.00 per year, depending on experience, location, and employer.

What are data structures?

Data structures are specialized formats for organizing, processing, and storing data in computers so that it can be accessed and modified efficiently. Common types include arrays, linked lists, stacks, queues, trees, and graphs. Each data structure is designed to solve specific types of problems and optimize certain operations such as searching, sorting, or inserting data. Understanding data structures is fundamental for programming and software development, as they directly impact the performance and scalability of applications.

What is the salary of a data structure?

A data structure is a fundamental concept in computer science and not a job role, so it does not have a salary. However, professionals skilled in data structures, such as software developers and data engineers, typically earn salaries ranging from $60,000 to over $120,000 annually depending on experience, location, and industry. Proficiency in algorithms, programming languages, and tools like Python or Java can influence earning potential.

What is the difference between Data Structure vs Data Analyst?

AspectData StructureData Analyst
Required CredentialsComputer Science degree, programming skillsStatistics, data analysis certifications, degree in related fields
Work EnvironmentSoftware development, programming, algorithm designBusiness, finance, marketing, data interpretation
Industry UsageSoftware engineering, computer scienceBusiness intelligence, marketing, finance

Data Structures focus on organizing and storing data efficiently within software applications, requiring programming skills and technical knowledge. Data Analysts interpret data to provide insights, often using statistical tools and working closely with business teams. While Data Structures are foundational for software development, Data Analysts apply data to solve business problems. Both roles are essential in data-driven industries but serve different purposes and skill sets.

What is a Data Structure job?

A Data Structure job typically involves designing, implementing, and optimizing data storage and retrieval mechanisms in software applications. Professionals in this role work with different data structures like arrays, linked lists, trees, and graphs to improve the efficiency of algorithms. They are often employed in software development, data engineering, or system architecture roles, ensuring that data is managed efficiently for various applications. Strong problem-solving skills and proficiency in programming languages like Python, Java, or C++ are essential for success in this field.

What jobs use data structures?

Data structures are fundamental in many jobs related to software development, such as software engineers, data analysts, and database administrators. These roles require understanding and implementing data structures like arrays, trees, and graphs to optimize algorithms and manage data efficiently.

What are the key skills and qualifications needed to thrive as a Data Structures Engineer, and why are they important?

To thrive as a Data Structures Engineer, you need a solid understanding of algorithms, programming languages (such as Java, C++, or Python), and a formal education in computer science or a related field. Familiarity with version control systems like Git, debugging tools, and experience with relevant libraries or frameworks are typically required. Strong analytical thinking, problem-solving abilities, and effective communication help you design efficient solutions and collaborate with other developers. These skills ensure robust, scalable software that meets performance requirements and supports business objectives.

What is a data structure job?

A data structure job involves designing, implementing, and maintaining data structures that organize and store data efficiently for software applications. These roles often require knowledge of algorithms, programming languages like Python or C++, and understanding of how data structures impact system performance.

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand areas like technology companies or specializing in fields such as machine learning or cloud computing, can earn $500,000 or more annually. Achieving this level typically requires extensive experience, advanced skills, and often stock options or bonuses as part of compensation packages.

What are some common challenges faced by professionals working with data structures in software development?

Professionals working with data structures often encounter challenges such as selecting the most efficient data structure for a specific application, optimizing memory usage, and ensuring code scalability as data volume grows. Collaboration with other team members, such as developers and data engineers, is essential to design robust solutions that balance performance and maintainability. Additionally, staying current with evolving algorithms and best practices helps address complex data manipulation tasks in real-world projects.
Data Architect, Data Modeling & Integration Design Focus

Data Architect, Data Modeling & Integration Design Focus

TECO

Tampa, FL

$60.25 - $77.50/hr

Other

Medical, Dental, Retirement, PTO

Re-posted 12 days ago


Job description

Title: Data Architect, Data Modeling & Integration Design Focus 
Company: Tampa Electric Company
Location: Midtown East Tower 
State and City: Florida  -  Tampa
Shift: 8 Hr. X 5 Days

Recruiter: Mark Koener 

TITLE:    Data Architect, Data Modeling & Integration Design Focus 
PERFORMANCE COACH:     Manager IT Data Analytics & Reporting 
COMPANY:    Tampa Electric Company
DEPARTMENT:    Information Technologies/Advanced Digital Solutions

FOCUS AREAS
   Advanced Data Modeling and Database Design
   Cloud Data Platform Expertise
   Data Governance, Security, and Compliance
   ETL/ELT and Data Integration Design
   Data Virtualization and Data Mesh Design
   Build Data Architecture

POSITION CONCEPT 
The Data Architects responsible for the "back end" components of the organizations Data Analytics 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 organizations 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 organizations analytic data architecture effectively enables needed applications and develops standards in the areas of data modeling, metadata management, data integration and master data management.  

PRIMARY DUTIES AND RESPONSIBILITIES 
1.    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-premises. (25%)
2.    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%)
3.    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%)
4.    Accountable for the quality of data model and ETL application deliverables and so is responsible for establishing and managing QA related functions including Testing (unit, system, stress, etc.) and Peer reviews (e.g., reviews of data models, ETL application design, etc.) (15%)
5.    Provides technical oversight of the activities of ETL developers and data analysts and provide coaching and mentoring regarding technical skills and competencies. (15%)
6.    Serves as a technical subject matter expert (SME) to provide consultation. (15%)                                                                                                                                                                                                                                                                                                                               

QUALIFICATIONS
Education 
Required:    Bachelor's Degree in Information/Computer Science, Data/Information Management, Business Administration, Engineering, Mathematics, Information Systems, or related field.  
Licenses/Certifications
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. 
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. 

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 and 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.

#LI-SC1

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!