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Data Extraction Jobs in Florida (NOW HIRING)

Techvilla Solutions

Data Scientist

Gotha, FL

Extract, transform, analyze, and visualize data using SQL, Python, Snowflake, and Power BI. * Develop dashboards, reports, and data visualizations to communicate analytical findings. * Partner with ...

Techvilla Solutions

Data Scientist

Winter Park, FL · On-site

Extract, transform, analyze, and visualize data using SQL, Python, Snowflake, and Power BI. * Develop dashboards, reports, and data visualizations to communicate analytical findings. * Partner with ...

Techvilla Solutions

Extract, transform, analyze, and visualize data using SQL, Python, Snowflake, and Power BI. * Develop dashboards, reports, and data visualizations to communicate analytical findings. * Partner with ...

Techvilla Solutions

Data Scientist

Longwood, FL · On-site

Extract, transform, analyze, and visualize data using SQL, Python, Snowflake, and Power BI. * Develop dashboards, reports, and data visualizations to communicate analytical findings. * Partner with ...

Techvilla Solutions

Data Scientist

Apopka, FL · On-site

Extract, transform, analyze, and visualize data using SQL, Python, Snowflake, and Power BI. * Develop dashboards, reports, and data visualizations to communicate analytical findings. * Partner with ...

Techvilla Solutions

Data Scientist

Union Park, FL · On-site

Extract, transform, analyze, and visualize data using SQL, Python, Snowflake, and Power BI. * Develop dashboards, reports, and data visualizations to communicate analytical findings. * Partner with ...

Trilyon, Inc.

Data Warehouse Analyst

Tallahassee, FL · On-site

The ideal candidate will have strong experience in data warehousing, ETL/ELT processes, Informatica tools, and business intelligence platforms, along with a passion for data-driven decision-making ...

J.P. Morgan

Applied AI/ML Lead

Tampa, FL

Lead the design, development, and production deployment of AI/ML solutions focused on image classification, text categorization, and data extraction from scanned TIF documents and evaluate and ...

Next Frontier Capital

Applied AI/ML Lead

Tampa, FL · On-site

$180 - $280/hr

Lead the design, development, and production deployment of AI/ML solutions focused on image classification, text categorization, and data extraction from scanned TIF documents and evaluate and ...

Kanak Elite Services Inc

Data Engineer.

Orlando, FL · On-site

$106K - $128K/yr

ORLANDO FL DURATION :12 MONTHS CONTRACT * 1+ years of proven experience working with Apache Spark framework, Hadoop, Java/Scala, Python * 1+ years of proven experience building data pipelines and ETL ...

JPMorgan Chase & Co

Applied AI/ML Lead

Tampa, FL · On-site

Lead the design, development, and production deployment of AI/ML solutions focused on image classification, text categorization, and data extraction from scanned TIF documents and evaluate and ...

JPMorgan Chase & Co.

Applied AI/ML Lead

Tampa, FL · On-site

Lead the design, development, and production deployment of AI/ML solutions focused on image classification, text categorization, and data extraction from scanned TIF documents and evaluate and ...

JP Morgan Chase

Applied AI/ML Lead

Tampa, FL · On-site

Lead the design, development, and production deployment of AI/ML solutions focused on image classification, text categorization, and data extraction from scanned TIF documents and evaluate and ...

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All JobsData Extraction JobsData Extraction Jobs in Florida

Data Extraction information

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$55

How much do data extraction jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for data extraction in Florida is $22.45, according to ZipRecruiter salary data. Most workers in this role earn between $12.06 and $24.89 per hour, depending on experience, location, and employer.

What is a data extraction?

A Data Extraction job involves collecting and retrieving data from various sources, such as databases, documents, websites, and APIs. This data is then transformed, cleaned, and structured for analysis or storage. Professionals in this role use tools like SQL, Python, or web scraping technologies to automate the process. Data extraction is essential for businesses to gain insights, make data-driven decisions, and streamline operations.

What are the typical daily responsibilities for someone working in data extraction?

Professionals in Data Extraction typically spend their days gathering data from a variety of sources—such as databases, websites, or documents—using specialized tools or scripts. They are responsible for cleaning, formatting, and validating this data to ensure accuracy and consistency before delivering it to analysts or other stakeholders. Collaborating with data analysts, IT teams, and business units is common to clarify data requirements and resolve any discrepancies. Most roles involve a mix of independent technical work and teamwork, with some positions requiring regular reporting or documentation of data extraction processes.

What are the key skills and qualifications needed to thrive in data extraction, and why are they important?

To excel in Data Extraction, candidates should have strong analytical skills, attention to detail, and a background in data management or computer science. Experience with extraction tools and programming languages such as SQL, Python, R, or ETL platforms, as well as familiarity with data governance standards, is often required. Strong organizational, problem-solving, and communication skills help professionals handle complex datasets and collaborate effectively across teams. These competencies ensure accurate, efficient data retrieval and support informed business decisions.

How to become a data extraction?

To become a data extraction specialist, develop skills in data management, programming languages like Python or SQL, and familiarity with data extraction tools such as web scrapers or ETL software. Gaining experience through relevant projects or certifications can improve job prospects, and understanding data privacy and security is also beneficial.

What are popular job titles related to Data Extraction jobs in Florida?

For Data Extraction jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Data Extraction jobs in Florida look for?

The top searched job categories for Data Extraction jobs in Florida are:

What cities in Florida are hiring for Data Extraction jobs?

Cities in Florida with the most Data Extraction job openings:

Data Extraction jobs near you
Infographic showing various Data Extraction job openings in Florida as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $46,691 per year, or $22.4 per hour.

Data Scientist

Techvilla Solutions

Gotha, FL

Full-time

Posted 9 days ago

Job description

Key Responsibilities
  • Develop and implement statistical models, predictive analytics solutions, and machine learning models to address complex business problems.
  • Analyze large and complex datasets to identify trends, patterns, opportunities, and actionable insights.
  • Apply advanced statistical techniques, including regression analysis, decision trees, predictive modeling, and machine learning.
  • Translate data and quantitative analysis into actionable recommendations for Business Development, Marketing, and senior leadership.
  • Extract, transform, analyze, and visualize data using SQL, Python, Snowflake, and Power BI.
  • Develop dashboards, reports, and data visualizations to communicate analytical findings.
  • Partner with cross-functional stakeholders to define project objectives, deliverables, and analytical approaches.
  • Manage project deliverables and timelines, proactively communicate status, and escalate risks or issues as needed.
  • Ensure data quality, accuracy, and consistency throughout the analysis and modeling lifecycle.
  • Clearly communicate complex statistical models, analytical results, and business implications to both technical and non-technical audiences.
  • Stay current with emerging technologies, including Artificial Intelligence (AI), machine learning, and advanced analytics, and evaluate their relevance to business needs.
Required Qualifications
  • Master’s degree in Data Science, Statistics, Computer Science, Econometrics, Data Analytics, Predictive Analytics, or a related quantitative field.
  • 7+ years of experience in Data Science, Data Analytics, Statistics, Predictive Analytics, or a related quantitative field.
  • Proven experience working with large datasets in enterprise-level environments.
  • Strong expertise in statistical modeling and predictive analytics.
  • Strong programming experience with Python.
  • Strong SQL skills for data extraction, transformation, and analysis.
  • Experience developing and deploying Machine Learning models.
  • Experience with Power BI for data visualization and reporting.
  • Experience working with Snowflake or similar cloud data platforms.
  • Strong analytical, problem-solving, and strategic thinking skills.
  • Excellent written and verbal communication skills, with the ability to explain complex quantitative concepts to business and executive audiences.
  • Strong attention to detail with a focus on data quality, accuracy, and reliable results.
Preferred Qualifications
  • Experience in the healthcare industry.
  • Experience working with healthcare claims data.
  • Experience with R and other statistical programming tools.
  • Experience with enterprise-scale data platforms and analytics environments.
  • Knowledge of emerging AI and advanced machine learning technologies.
  • Proficiency with Microsoft Office, including Excel, Word, PowerPoint, and Access.

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