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Data Developer Jobs in Florida (NOW HIRING)

Data Engineer

Juno Beach, FL · On-site

$111K - $134K/yr

Data Engineer will perform exploratory data analysis (EDA) to uncover insights and trends * Build reusable data pipelines and feature engineering workflows * Work with SQL and/or cloud-based data ...

Sr Data Engineer

Plantation, FL · On-site

$109K - $131K/yr

... in DevOps activities, including CI/CD integration using Databricks Asset Bundles (DABs) required ... data models and creating effective dashboards. • Demonstrated ability to translate complex ...

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

... in DevOps activities, including CI/CD integration using Databricks Asset Bundles (DABs) required ... data models and creating effective dashboards. • Demonstrated ability to translate complex ...

Data Engineer

Orlando, FL

$106K - $128K/yr

Familiarity with SDLC and CI/CD for data workflows using GitHub Enterprise, Azure DevOps, or similar tools. * Strong understanding of security, data governance, access controls, and secure handling ...

Data Quality Engineer

Jacksonville, FL · Remote

$106K - $127K/yr

Familiarity with DevOps and DataOps practices for enterprise data platforms. * Experience supporting Power BI reporting and downstream analytics validation. * Experience utilizing AI-assisted ...

Data Engineer

Aventura, FL · On-site

$109K - $131K/yr

We are seeking an experienced Data Engineer to lead the design, development, and optimization of end-to-end data pipelines and cloud-based solutions. You will be responsible for architecting scalable ...

Data Engineer

Aventura, FL · On-site

$109K - $131K/yr

We are seeking an experienced Data Engineer to lead the design, development, and optimization of end-to-end data pipelines and cloud-based solutions. You will be responsible for architecting scalable ...

Data Engineer

Davie, FL · On-site

$104K - $126K/yr

Data Engineer (Core Data Engineer role) 1 year assignment.(Temp to perm: Based on openings and performance) Davie, FL (Onsite) Shift: Monday - Friday 8:00am - 5:00pm, 40 hours a week Core Essential ...

This role is responsible for data engineering and organization, data science, and machine learning, with a specific focus on acoustic sensor data. This role supports ingestion, processing, storage ...

... DevOps services to build and deploy DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or Databricks - Improving Cloud resources for cost, performance, and ...

... DevOps services to build and deploy DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or Databricks - Improving Cloud resources for cost, performance, and ...

... DevOps services to build and deploy DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or Databricks - Improving Cloud resources for cost, performance, and ...

... DevOps services to build and deploy DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or Databricks - Improving Cloud resources for cost, performance, and ...

Overview The Data Solutions Engineer will play a key role in integrating, architecting, and ... Azure Cloud & DevOps Engineering - Proven experience designing, building, and operating cloud ...

Data Engineer

Doral, FL · On-site

$105K - $127K/yr

MANTECH seeks a motivated, career and customer-oriented Journeyman Data Engineer to join our team in Doral, FL. Key Responsibilities * Design, implement, and maintain secure distributed data ...

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Experience with Azure DevOps, Git, or similar version control and deployment tools * Knowledge of data governance frameworks, lineage, and cataloging tools * Background in performance optimization ...

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Data Developer information

See Florida salary details

$19

$39

$60

How much do data developer jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for data developer in Florida is $39.70, according to ZipRecruiter salary data. Most workers in this role earn between $32.50 and $44.90 per hour, depending on experience, location, and employer.

How does a Data Developer typically collaborate with data analysts and data engineers within a project team?

Data Developers frequently work alongside data analysts and data engineers to design, build, and maintain robust data pipelines and databases. While data engineers often focus on the infrastructure and large-scale data architecture, Data Developers bridge the gap by implementing data models, optimizing queries, and ensuring data is accessible and reliable for analysis. Regular collaboration includes aligning on data requirements, troubleshooting data flow issues, and refining processes to support business intelligence and reporting needs. This teamwork ensures that data assets are accurate, up-to-date, and tailored for various stakeholder needs.

What are Data Developers?

Data Developers are professionals who design, build, and maintain systems that collect, store, process, and analyze large volumes of data. They work with databases, data pipelines, and various programming languages to ensure that an organization’s data is accessible, reliable, and efficiently managed. Data Developers often collaborate with data analysts, data scientists, and other IT staff to support business intelligence and data-driven decision-making. Their responsibilities may include writing complex SQL queries, developing ETL (extract, transform, load) processes, and optimizing database performance.

How much does a data developer make?

The average salary for a data developer typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Skilled data developers proficient in programming languages like Python or SQL and familiar with data management tools tend to earn higher salaries.

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

To thrive as a Data Developer, you need strong programming skills (such as SQL, Python, or Java), a deep understanding of database design, and experience with data modeling, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL Server, Oracle, ETL platforms, and cloud data services, as well as certifications in database technologies, are commonly required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with stakeholders and translating data needs into solutions. These competencies ensure efficient data management, support business intelligence efforts, and enable the delivery of reliable, scalable data systems.

What jobs pay 500,000 a year in the US?

In the US, high-paying roles such as senior executives, specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. Certain roles in finance, technology, and law, especially with bonuses, stock options, or profit sharing, also reach this level. These positions typically require advanced skills, extensive experience, and often involve leadership or highly specialized expertise.

What is the difference between Data Developer vs Data Analyst?

AspectData DeveloperData Analyst
Primary RoleBuilds and maintains data pipelines, databases, and data infrastructureAnalyzes data to generate reports, insights, and support decision-making
Skills & CertificationsSQL, ETL tools, programming (Python, Java), database managementSQL, Excel, data visualization tools, statistical analysis
Work EnvironmentData engineering teams, IT departments, software development environmentsBusiness units, analytics teams, management
Industry UsageTechnology, finance, healthcare, any data-driven industryMarketing, finance, retail, business intelligence

While Data Developers focus on creating and maintaining the data infrastructure, Data Analysts interpret data to provide actionable insights. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What does a data developer do?

A data developer designs, builds, and maintains data systems and pipelines to collect, store, and process large volumes of data. They often work with programming languages like SQL and Python, and use tools such as data warehouses and ETL (Extract, Transform, Load) processes to ensure data is accessible and reliable for analysis and decision-making.

Is 40 too late for data science?

A data developer or data scientist can start a career at age 40, as skills in programming, statistics, and data analysis are learnable at any age. Many professionals successfully transition into data roles later in life by gaining relevant certifications and experience. Age is less important than skills, continuous learning, and practical experience in the field.
What job categories do people searching Data Developer jobs in Florida look for? The top searched job categories for Data Developer jobs in Florida are:
What cities in Florida are hiring for Data Developer jobs? Cities in Florida with the most Data Developer job openings:
What are popular job titles related to Data Developer jobs in FL? For Data Developer jobs in FL, the most frequently searched job titles are:
Infographic showing various Data Developer job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $82,567 per year, or $39.7 per hour.
Data Engineer

$111K - $134K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


Job description

RESPONSIBILITIES:
Kforce has a client that is seeking a Data Engineer in Juno Beach, FL.
Key Responsibilities:
* Clean, preprocess, and transform structured and unstructured data using Python
* Data Engineer will perform exploratory data analysis (EDA) to uncover insights and trends
* Build reusable data pipelines and feature engineering workflows
* Work with SQL and/or cloud-based data warehouses to extract and prepare data
* Collaborate with stakeholders to translate business problems into data-driven solutions
* Develop and maintain analytical models and dashboards
* As a Data Engineer, you will apply basic to intermediate machine learning techniques where applicable
* Experiment with and support LLM-based solutions (prompting, embeddings, APIs) as needed
* Ensure data quality, reliability, and documentation
REQUIREMENTS:
* 3+ years of experience as a Data Engineer/Data Analyst
* Experience with SQL (PostgreSQL, MySQL, Big Query, Snowflake, etc.)
* Experience working with APIs and external data sources
* Solid understanding of data cleaning, transformation, and feature engineering
* Familiarity with data visualization tools; Matplotlib, Seaborn, Plotly, or Power BI/Tableau
* Understanding of statistics and data analysis fundamentals
* Strong proficiency in Python for data manipulation and analysis; Pandas, NumPy, SciPy
* Strong problem-solving and communication skills
Modern/Latest Tech Stack (Preferred):
* Python (3.x)
* Pandas, NumPy, Scikit-learn
* Jupiter, VS Code
* Git/GitHub
* Cloud platforms: AWS/Azure/Google Cloud Platform
* Data tools: Airflow, dbt, Spark (basic exposure)
* Containerization: Docker (nice to have)
Good to Have:
* Hands-on experience with Machine Learning models; Regression, classification, clustering, time series
* Exposure to LLMs and Generative AI; OpenAI/Azure OpenAI APIs; Prompt engineering; Embeddings, vector databases (FAISS, Pinecone, Chroma)
* Experience with NLP or text analytics
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.