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Data Extraction Jobs in Georgia (NOW HIRING)

ETL Data Developer

Atlanta, GA · On-site

$49 - $64.25/hr

ETL Data Developer Atlanta, GA 30303 (Locals only) 12 months contract with possibility to extension The selected candidate will join our Data Integrations team of Data Architects and ETL Developers ...

Creating custom Kofax workflows, data extraction models (KTM), and integrations. * Process Automation: Automating information capture, classification, and routing from various document types ...

Creating custom Kofax workflows, data extraction models (KTM), and integrations. * Process Automation: Automating information capture, classification, and routing from various document types ...

Creating custom Kofax workflows, data extraction models (KTM), and integrations. * Process Automation: Automating information capture, classification, and routing from various document types ...

... with data extraction in a variety of environments (SQL, JQuery, etc.) 6. Working knowledge of ... Hadoop, Pig, Hive, and/or NoSQL, Spark 7. Experience in managing multiple projects with tight ...

... with data extraction in a variety of environments (SQL, JQuery, etc.) 6. Working knowledge of ... Hadoop, Pig, Hive, and/or NoSQL, Spark 7. Experience in managing multiple projects with tight ...

Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.) * Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark * Experience in managing multiple projects with ...

Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.) * Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark * Experience in managing multiple projects with ...

Senior Data Science Analyst

Atlanta, GA · On-site

$82K - $104K/yr

SQL proficiency for data extraction and transformation * Experience utilizing version control tools like GitHub or Bitbucket to manage collaborative repositories (e.g., Python, R, SQL), ensuring a ...

... with data extraction in a variety of environments (SQL, JQuery, etc.) 6. Working knowledge of ... Hadoop, Pig, Hive, and/or NoSQL, Spark 7. Experience in managing multiple projects with tight ...

... with data extraction in a variety of environments (SQL, JQuery, etc.) 6. Working knowledge of ... Hadoop, Pig, Hive, and/or NoSQL, Spark 7. Experience in managing multiple projects with tight ...

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Data Extraction information

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 Georgia? The most popular types of Data Extraction jobs in Georgia are:
Infographic showing various Data Extraction job openings in Georgia as of June 2026, with employment types broken down into 51% Full Time, and 49% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Kofax developer

Other

Posted 16 days ago


Job description

Job Summary:
Kofax developer with 8+ years of experience
Solution Design & Development: Creating custom Kofax workflows, data extraction models (KTM), and integrations.
Process Automation: Automating information capture, classification, and routing from various document types (structured/unstructured).
Integration: Connecting Kofax with enterprise systems (ECM, databases, cloud apps) via web services (REST, SOAP).
Scripting & Coding: Developing with C#, VB.NET, JavaScript, VBScript, and understanding Object-Oriented Design.
Configuration & Maintenance: Installing, configuring, and tuning Kofax servers, scanners, and applying service packs.
Documentation: Creating High-Level Designs (HLD), Low-Level Designs (LLD), and test plans.