1

Data Structure Jobs in Florida (NOW HIRING)

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

$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

Hurlburt Field, FL · On-site

$104K - $125K/yr

Responsibilities : • Developing, maintaining, and testing infrastructures for data generation to transform data from various structured and unstructured data sources. • Develop complex queries to ...

... data structures and ability to extract data sources using various visualization tools (e.g., PowerBI, Excel) • Knowledge of data governance principles and practices • Bachelor''s Degree in ...

... data structures and ability to extract data sources using various visualization tools (e.g., PowerBI, Excel) • Knowledge of data governance principles and practices • Bachelor's Degree in ...

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

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 Engineer

Hurlburt Field, FL · On-site

$73K - $175K/yr

Developing, maintaining, and testing infrastructures for data generation to transform data from various structured and unstructured data sources. * Develop complex queries to ensure accessibility ...

Data Engineer

Hurlburt Field, FL

$104K - $125K/yr

Develop, maintain, and test infrastructures for data generation to transform data from various structured and unstructured data sources. * Develop complex queries to ensure accessibility while ...

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 ...

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 Quality Engineer

Jacksonville, FL · Remote

$106K - $127K/yr

Integration and Monitoring Work with structured and semi-structured data formats (XML, JSON) and cloud-native services to validate data ingestion, transformation, and integration processes across ...

Data Layer Engineer - Mid

Doral, FL · On-site

$109K - $131K/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 ...

Knowledge of various data structures and ability to extract data sources using various visualization tools (e.g., PowerBI, Excel) * Knowledge of data governance principles and practices * Bachelor ...

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 Engineer

Data Engineer

Frida

Miami, FL • On-site

$109K - $131K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

Who We Are
Parenting isn't picture-perfect. It's messy, hilarious, exhausting, and life-changing - sometimes all before noon. That's where we come in.
Founded in 2014 by our CEO Chelsea Hirschhorn, Frida was built to make the raw reality of parenting a little easier to navigate (and a lot less overwhelming). It all started with one legendary snot-sucker - the NoseFrida - and has grown into a 200+ product lineup that supports families through every stage: from fertility and postpartum recovery to baby care and beyond.
We don't shy away from the stuff no one else wants to talk about - nipple pain, diaper blowouts, or the emotional rollercoaster that comes with keeping a tiny human alive. We call it like it is, solve the problems that actually matter, and build products that help parents feel seen, supported, and totally capable.
You can now find Frida products in 50+ countries and thousands of stores across the U.S., from the biggest national retailers to your neighborhood grocery aisle.
Under Hirschhorn's leadership, Frida has become a category leader by challenging taboos, championing honesty, and supporting families at every stage of parenthood and beyond, earning acclaim on TIME's 100 Most Influential Companies, TIME Best Inventions, Fast Company Most Innovative Companies and Fast Company Brands That Matter. But the real win? Knowing we're helping parents everywhere feel a little more human and a little less alone.
How You Will Make an Impact
Frida is seeking a Data Engineer to design, build, and maintain scalable data pipelines and the underlying database infrastructure that supports analytics and reporting across the organization. This role sits within the Data Integration and Architecture team and is central to our ongoing data lake buildout. This role will focus on ensuring database stability, proper indexation, reliable backups, performant pipelines, and sound data model and schema design. Strong collaboration with the analytics team will be essential to ensure they have a reliable, well-governed platform to build on.
Responsibilities to include:
Database Infrastructure & Reliability
  • Build, optimize, and maintain data models and schemas within PostgreSQL, ensuring proper indexation, partitioning, and structural integrity to support downstream consumption.
  • Own database backup, recovery, and disaster recovery procedures to ensure data durability and business continuity.
  • Monitor database health, query performance, and resource utilization, proactively addressing issues before they impact downstream systems.
  • Contribute to the architecture and continued buildout of the organization's data lake on Azure, including storage design, lifecycle policies, and environment reliability.
  • Take ownership of deployment, security, and environment configuration from vendor teams, partnering with infrastructure and DevOps resources to bring these capabilities in-house.

Data Pipelines & Integration
  • Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory to ingest, transform, and load data from a variety of source systems.
  • Implement and enforce data quality checks, monitoring, and alerting across pipelines.
  • Troubleshoot pipeline failures and performance bottlenecks, performing root cause analysis and implementing lasting fixes.

Governance & Collaboration
  • Partner with business stakeholders and the analytics team to understand data ingestion requirements, ensuring data models and schemas are designed to meet current and future needs without duplicating tables or data across the environment.
  • 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 the analytics team has access to clean, performant, and well-documented data by maintaining reliable data structures and pipeline outputs.
  • Document data flows, lineage, and pipeline logic to support governance and knowledge sharing.

What You Will Need
  • 5+ years of experience in a data engineering role or a closely related function.
  • Strong proficiency with Azure Data Factory, including pipeline orchestration, linked services, and integration runtimes.
  • Solid SQL skills with hands-on experience managing PostgreSQL databases, including indexing strategies, partitioning, query optimization, backup and recovery, and performance tuning.
  • Familiarity with Azure data services such as Azure Data Lake Storage, Azure Containers, or Synapse Analytics.
  • Experience with Python or another scripting language for data transformation and automation tasks.
  • Experience administrating Azure environments, including resource management, access controls, and service configuration.
  • Understanding of data modeling concepts (star schema, Medallion structure, normalization/denormalization).
  • Comfort working with version control and implementing CI/CD practices for data pipeline deployment.
  • Strong communication skills and the ability to translate technical concepts for non-technical stakeholders.
  • Nice to have: Experience with database monitoring tools, automated alerting, and infrastructure-as-code practices for data environments.
  • Nice to have: Exposure to EDI data flows or ERP systems such as NetSuite.
  • Nice to have: Background working in a consumer products, retail, or e-commerce environment.

Who You Will Work With
Frida is an organization that values collaboration and community. As the Data Engineer, you will work closely with the broader IT team and partner regularly with Finance, Operations, and Marketing.
Our Ways of Working
Frida HQ is located in Miami, Florida and approved roles have the flexible option to work remotely both Mondays and Fridays with the benefit of connecting in person Tuesdays - Thursdays.
Why You Will Love Working at Frida
  • Robust health benefits including:
    • Comprehensive medical, vision, and dental plans
    • Employer paid life insurance
    • Supplemental insurance options including Accident Insurance, Short-Term Disability and Long-Term Disability
    • FSA & HSA
  • 401k matching up to 4% with immediate vesting.
  • Generous paid time off program including elective PTO days, federal holidays, sick/wellness days, and a birthday floater.
  • Flexible paid pregnancy and parental leave.
  • Weekly wellness programming designed to maximize personal time and minimize time spent investing in personal care outside of work hours. This includes a variety of programming such as in-office manicures & pedicures, blowouts, massages, and carwash services.
  • Dog friendly office - feel free to bring your best buddy with you to work!
  • Learning & development opportunities for professional and personal growth
  • Company-wide events & outings. Team engagement is at the center of our culture. This ranges from small department-specific teambuilding or informal outings to our annual Fam Jam family carnival that celebrates the people in your life who support you in bringing your best self to work each day. We also host an annual Day of Service to support our local Miami community, and provide a variety of volunteer opportunities throughout the year that support our mission to serve parents and children.
  • Exclusive employee product discounts.

EEO
Frida provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected Veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Privacy Policy
By applying for this position, you acknowledge and understand that your information will be used as described in Frida's Job Applicant Privacy Policy: https://frida.com/pages/fridababy-job-applicant-privacy-policy
Agency and Third-Party Submissions
Please note this is a direct search led by Frida. Applications from agencies and other third parties will not be accepted, nor will fees be paid for unsolicited resumes.
Fraud Disclaimer
Fridababy LLC will never request personal information (i.e. Social Security number, bank account, or payment of any kind) during the application or recruitment process. Fridababy LLC will only contact you through verified methods, not unofficial platforms such as WhatsApp, Telegram, or personal email accounts. All legitimate communication will come from an official @frida.com or @fridababy.com email address or through our verified recruiting partners.
If you receive any suspicious outreach claiming to represent Fridababy LLC, please report it to frida.hr@frida.com or cyber@frida.com. Your safety and privacy is our priority.