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Data Extraction Jobs (NOW HIRING)

Omni Inclusive

SAP Data Migration Lead

Chicago, IL · On-site

... Extract legacy data and load staging for profiling Develop and unit test conversion scripts and programs (SQL or Hana Studio) Providing advisory services to the business to understand their data ...

The OSU/A&M System

Data Analyst AS6462

Stillwater, OK · On-site

$47K - $69K/yr

Develops and maintains data extraction programs, prepares analytical reports, and applies statistical and mathematical models to support institutional decision-making at Oklahoma State University.

Omni Inclusive

ETL Developer

Phoenix, AZ · On-site

$50.75 - $66.25/hr

Create and optimize complex mappings, workflows, and sessions for data extraction, transformation, and loading. Responsible for production support of big data platform and on-call. Expertise in ...

Triunity Software

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Develop and maintain ETL/data pipelines using PySpark. * Process and transform large datasets efficiently. * Write optimized SQL queries for data extraction and analysis. * Build and maintain data ...

4P Consulting Inc.

Data Analyst 2

Birmingham, AL

... ETL: Skilled in data extraction, transformation, and loading (ETL) processes, working with various data sources and databases to prepare data for analysis. · Statistical Analysis: Proficiency in ...

eTeam

Senior Data Migration Developer

Strong hands-on experience with Python or Jython scripting for data extraction and synchronization Proficiency with Stream Sets for orchestration, scheduling, and automation of data pipelines ...

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Data Extraction information

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How much do data extraction jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for data extraction in the United States is $28.18, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $31.25 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.
More about Data Extraction jobs
What cities are hiring for Data Extraction jobs? Cities with the most Data Extraction job openings:
What are the most commonly searched types of Data Extraction jobs? The most popular types of Data Extraction jobs are:
What states have the most Data Extraction jobs? States with the most job openings for Data Extraction jobs include:
What job categories do people searching Data Extraction jobs look for? The top searched job categories for Data Extraction jobs are:
Data Extraction jobs near you
Infographic showing various Data Extraction job openings in the United States as of June 2026, with employment types broken down into 40% Full Time, and 60% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $58,613 per year, or $28.2 per hour.

SAP Data Migration Lead

Omni Inclusive

Chicago, IL • On-site

Other

Posted 29 days ago

Job description

SAP Data Migration LSMW

Strong SAP data migration experience on SAP ECC

Develop and unit test LSMW builds

Load data into ECC SAP

Migrating data objects from different modules (OTC, FI, MMWM and CRM)

Setup staging database

Extract legacy data and load staging for profiling

Develop and unit test conversion scripts and programs (SQL or Hana Studio)

Providing advisory services to the business to understand their data management issues and advising on appropriate data management strategies and techniques

Create Technical Specification documents by utilizing Data migration experience and computer program knowledge which will be used in creation of Data services Jobs

Strong experience in the design and implementation of SAP's ETL solutions such as SAP Data Services and SAP LSMW, and additionally integration technologies such as IDOCs and BAPIs

Good to have skills:

SAP - LSMW t-code (BAPI, IDOC, Direct Input, BDC and recording) methods used for SAP data load

SQL tools (File Requestor, Staging tool, GSAP Extractor)

SQL server management studio for Data extraction and transformation

SAP Hana studio for Data extraction and transformation

SAP - LTMC and LTMOM t-codes

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