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Data Structure Jobs in Florida (NOW HIRING)

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

$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 ...

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 ...

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 ...

SQL Developer (SQL Queries)

Lake Mary, FL · On-site

$39.50 - $54.25/hr

Develop data mapping from existing systems to the new data structures. * Experience in data migration using the industry standard tools. * Experience in SQL tuning and optimization using explain plan ...

data architect

Tallahassee, FL · On-site

$55.25 - $71/hr

Strong SQL proficiency and experience working with complex data structures; Experience with data governance, security protocols, and role-based access control (RBAC) within the Azure ecosystem; and ...

This role requires strong expertise in SAP data structures, data migration processes, and enterprise data governance, ensuring successful system implementation and business continuity. Key ...

Data Layer Engineer

Doral, FL

$105K - $127K/yr

Design and manage a modular data layer architecture that supports scalable ingestion, transformation, and serving of geospatial and structured data across containerized environments. * Develop and ...

Data Layer Engineer

Doral, FL · On-site

$105K - $127K/yr

Design and manage a modular data layer architecture that supports scalable ingestion, transformation, and serving of geospatial and structured data across containerized environments. * Develop and ...

Data Architect

Tallahassee, FL · On-site

$55.25 - $71/hr

Leverage the full power of the Azure ecosystem-ADF, Databricks, Synapse, and Purview-to manage and process high volumes of structured and unstructured data, delivering solutions that are scalable and ...

Data Layer Engineer

Doral, FL

$105K - $127K/yr

Design and manage a modular data layer architecture that supports scalable ingestion, transformation, and serving of geospatial and structured data across containerized environments. * Develop and ...

Skill in conducting queries and developing algorithms to analyze data structures. * Experienced in modern approaches to artificial intelligence, including deep learning, and keep up on latest ...

Data Modeler

Tallahassee, FL · On-site

$47.50 - $61.50/hr

Experience with reading, creating, and updating data structures. * Experience with multiple include statements. * Experience with Visio or other process mapping applications. Knowledge of the SCRUM ...

Build a working understanding of assigned data domains, including data sources, structures, and key business use cases * Support domain leads in managing credit and non-credit data domains and ...

Build a working understanding of assigned data domains, including data sources, structures, and key business use cases * Support domain leads in managing credit and non-credit data domains and ...

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Data Structure information

See Florida salary details

$34.4K

$123.3K

$182K

How much do data structure jobs pay per year?

As of Jun 27, 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 profession makes $400,000 a year?

In the field of data structures, senior software engineers, data architects, and machine learning engineers with extensive experience and advanced skills can earn salaries around $400,000 annually, especially in high-cost living areas or large tech companies. These roles typically require strong programming skills, knowledge of algorithms, and often advanced degrees or certifications. Compensation varies based on location, company size, and individual expertise.

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 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 engineers make $500,000?

Senior software engineers, especially those working in high-demand areas like technology, finance, or specialized fields such as machine learning or cybersecurity, can earn $500,000 or more annually. Achieving this level typically requires extensive experience, advanced skills, and often stock options or bonuses in addition to base salary.

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 problem-solving skills to optimize data handling and performance.

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.
Infographic showing various Data Structure job openings in Florida as of June 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,317 per year, or $59.3 per hour.

WO-003 Data Layer Engineer with Security Clearance

Endurion

Doral, FL • On-site

$109K - $131K/yr

Contractor

Posted 29 days ago


Job description

WO-003 Data Layer Engineer Position Summary
The Data Layer Engineer supports mission-critical objectives under the referenced work order by designing, implementing, and optimizing data transformation workflows for geospatial and non-geospatial datasets. 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 award. Job Description
• The Data Layer Engineer is responsible for designing and optimizing ETL processes, data structuring, and schema management.
• The position requires working with ESRI geospatial data layers, ArcGIS Enterprise, and cloud-based geospatial services.
• Engineers will implement data governance frameworks and metadata/data cataloging solutions.
• The role includes ensuring compliance with DoD and IC data security policies. Required Qualifications and Experience
The contractor shall provide personnel who meet one of the following requirements:
• Bachelor's degree in Data Management, Information Science, Computer Science, or a related field; or
• A minimum of five (5) years of professional experience in data governance. Candidates must have demonstrated experience in the following areas:
• Developing and managing data governance frameworks.
• Implementing metadata and data cataloging solutions.
• Ensuring compliance with DoD and IC data security policies.
• Working with tools such as Databricks Unity Catalog, Collibra, Alation, AWS Glue, or Azure Purview.
• Managing ESRI geospatial data layers and Kubernetes-hosted geospatial applications. Required Skills and Competencies
• Expertise in ETL processes, data structuring, and schema management.
• Working knowledge of PostgreSQL/PostGIS, SQL Server, NoSQL databases.
• Proficiency in cloud storage solutions (AWS S3, Azure Blob, Google Cloud Storage).
• Strong understanding of Databricks Unity Catalog, Collibra, Alation, AWS Glue, and Azure Purview.
• Ability to manage ESRI geospatial data layers and cloud-based geospatial services. Education
• Bachelor's degree in a relevant field, or an equivalent combination of education and experience.
• Certified Data Management Professional (CDMP) (Preferred, Not Required)
• DAMA Certified Data Governance Professional (DGSP) (Preferred, Not Required)
• Microsoft Certified: Azure Data Engineer Associate (Preferred, Not Required) Clearance Requirement
• An active TS/SCI security clearance is required for on-site duty location.