ZipRecruiter

Log In

1

Data Extraction Jobs in Florida (NOW HIRING)

Snowrelic Inc

ETL with ODI Developer (W2)

Tampa, FL · On-site

$48.25 - $63/hr

Develop and optimize SQL and PL/SQL scripts for data extraction, transformation, and loading. Assist with migration of on-premises ETL solutions to cloud-based platforms as needed. Monitor and ...

BankUnited

Data Analytics Engineer

Miami Lakes, FL · On-site

$103K - $124K/yr

Develops and tests architectures that enable data extraction and transformation for predictive or prescriptive modeling * Supports the data mining, reporting and general analytics needs of the ...

Kforce Technology Staffing

Data Engineer

Coral Springs, FL · On-site

$109K - $130K/yr

You will work closely with various teams to extract actionable information from data and communicate your findings using Power BI. Proficiency in MySQL is also essential for querying and manipulating ...

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 ...

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 ...

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 ...

J.P. Morgan

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 ...

New

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 ...

next page

Showing results 1-20

All JobsData Extraction JobsData Extraction Jobs in Florida

Data Extraction information

See Florida salary details

$9

$22

$55

How much do data extraction jobs pay per hour?

As of Jul 28, 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 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.

How to become a data extractor?

To become a data extractor, you typically need strong skills in data management, familiarity with data extraction tools like SQL, Python, or specialized software, and attention to detail. Many roles require a high school diploma or higher, and some may prefer certifications in data analysis or related fields. Gaining experience through internships or entry-level positions can also help build relevant skills.

What are the key skills and qualifications needed to thrive in the Data Extraction position, 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.

What is a Data Extraction job?

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 is a data extraction job?

A data extraction job involves retrieving specific information from various sources such as websites, databases, or documents. It often requires skills in using tools like web scrapers or data management software and may involve cleaning and organizing data for analysis or reporting.

What does a data extractor do?

A data extractor is responsible for collecting and retrieving data from various sources such as websites, databases, or documents. They often use tools like web scraping software or data management systems and need strong attention to detail and technical skills. The role involves transforming unstructured data into organized formats for analysis or storage.
What are the most commonly searched types of Data Extraction jobs in Florida? The most popular types of Data Extraction jobs in Florida are:
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 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 $46,691 per year, or $22.4 per hour.
ETL Specialist (Healthcare Data Engineer)

ETL Specialist (Healthcare Data Engineer)

Ensure Data Solutions, LLC

Miami, FL • On-site

$50K - $60K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 11 days ago

Job description

About Us

We are a fast-growing healthcare informatics and population health management SaaS company focused on supporting organizations that care for high-complexity, high-severity patient populations, including Medicare Advantage, Medicaid Managed Care, and ACA plans, ACOs, health systems, MSOs, and primary care groups. Our platform integrates EHR, claims, device, and care management data to power risk stratification, cohort building, care gap identification, clinical workflows, outcomes-aligned analytics and provide real-time insights.

We are building a next-generation data infrastructure to support AI-driven care management, interoperability (FHIR/HL7), and value-based care performance optimization.

Position Summary

We are seeking a highly skilled ETL Specialist (Healthcare Data Engineer) to design, build, and optimize scalable data pipelines that ingest, transform, and operationalize large-scale healthcare datasets, including EHR, claims, lab, pharmacy, and device data.

This role is mission-critical to our SaaS platform and will directly support cohort stratification, predictive analytics, clinical reporting, interoperability, and AI-driven care management workflows.

The ideal candidate has deep experience in healthcare data ecosystems (membership, ICD-10 codes, CPT/HCPCS codes, other claims data elements) and can build reliable, secure, and high-performance ETL pipelines in a cloud-native environment.

Key Responsibilities

Data Pipeline Architecture & ETL Development

  • Ingest data from EHR systems, claims clearinghouses, HIEs, APIs, flat files, and third-party data vendors
  • Leverage automated workflows for data extraction, transformation, normalization, and loading into data warehouses/lakes
  • Optimize batch and near-real-time data ingestion pipelines for performance and reliability
  • Implement robust data validation, error handling, and reconciliation logic

Data Modeling & Warehousing

  • Build dimensional models for analytics, quality measures, risk scoring, and reporting
  • Support cohort building and stratification frameworks used in population health and value-based care
  • Ensure high data integrity, lineage tracking, and auditability

Analytics & Product Enablement

  • Partner with Software Development teams to deliver clean, usable datasets
  • Support predictive modeling, risk stratification, and prescriptive analytics initiatives
  • Enable dashboards, reporting layers, and client-facing analytics products

Compliance, Security & Governance

  • Ensure HIPAA-compliant data handling and secure PHI processing
  • Implement data governance, encryption, and access control best practices
  • Maintain audit logs and documentation for regulatory and client requirements
  • Support SOC 2, HITRUST, and healthcare security frameworks

Required Qualifications

  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field (Master’s preferred)
  • 1–3+ years of experience in ETL development, data engineering, or data integration
  • Experience working with large-scale healthcare datasets (EHR, claims, or clinical data)
  • Experience in healthcare SaaS, population health, or value-based care environments
  • Knowledge of CMS programs (ACO REACH, Medicare Advantage, HEDIS, Stars, Risk Adjustment)
  • Familiarity with OMOP, FHIR data models, or clinical data normalization frameworks
  • Knowledge of healthcare quality measures and care management data workflows

Technical Stack

  • Languages: SQL
  • Databases: SQL

Key Competencies

  • Strong problem-solving and analytical thinking
  • High attention to data quality and accuracy
  • Ability to work in a fast-paced, high-growth SaaS environment
  • Strong documentation and communication skills

Compensation & Benefits

  • Competitive salary
  • Health, dental, and vision insurance
  • Generous PTO and holidays
  • Opportunity to work at the forefront of healthcare AI, interoperability, and outcomes-aligned care