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Data Extraction Jobs in Chicago, IL (NOW HIRING)

TEKFORTUNE INC

Data Engineer Lead

Lisle, IL · On-site

$112K - $135K/yr

As a Data Engineer Lead, you will ensure data accuracy and reliability, manage data extraction and cleansing processes, and guide critical business decisions to drive growth. Responsibilities : • ...

Inherent Technologies

ETL Developer

Chicago, IL · On-site

$52.50 - $68.75/hr

Deep understanding of data extraction, transformation, and loading techniques, proficiency in at least one major ETL tool. * Database knowledge: Expertise in SQL querying and database design (e.g ...

1 point system

Data Analyst

Chicago, IL · On-site

Develop and maintain automated processes for data extraction and transformation to streamline data workflows. * Create and maintain comprehensive reports and dashboards to visualize key performance ...

1 point system

Mid-Level Data Analyst

Chicago, IL · On-site

Develop and maintain automated processes for data extraction and transformation to streamline data workflows. * Create and maintain comprehensive reports and dashboards to visualize key performance ...

Tredence Analytic

Data Engineer

Chicago, IL

$118K - $141K/yr

Extract data from multiple sources, integrate disparate data into a common data model, and integrate data into a target database, application, or file using efficient programming processes. * Write ...

Tredence Analytic

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Extract data from multiple sources, integrate disparate data into a common data model, and integrate data into a target database, application, or file using efficient programming processes. * Write ...

Paychex

Data Engineer

Chicago, IL · Remote

$99K - $150K/yr

Overview Source, extract, and manipulate large data sets to serve Business Analytics, Machine Learning and Artificial Intelligence needs of Paychex. Responsibilities * Utilize existing infrastructure ...

Roadrunner

Data Engineer

Downers Grove, IL

$114K - $137K/yr

Design, develop, and optimize ETL/ELT processes using SQL Server Integration Services (SSIS) or similar tools to ingest, transform, and load data from various sources into data warehouses or lakes.

Roadrunner

Data Engineer

Downers Grove, IL · On-site

$114K - $137K/yr

Design, develop, and optimize ETL/ELT processes using SQL Server Integration Services (SSIS) or similar tools to ingest, transform, and load data from various sources into data warehouses or lakes.

Roadrunner

Data Engineer

Downers Grove, IL · On-site

$114K - $137K/yr

Design, develop, and optimize ETL/ELT processes using SQL Server Integration Services (SSIS) or similar tools to ingest, transform, and load data from various sources into data warehouses or lakes.

Unchain Data

Compliance Senior Data Analyst

Chicago, IL · On-site

$110 - $160/hr

Support implementation and ongoing execution of CARF and Form 1099-DA reporting requirements, including data extraction, transformation, validation, reconciliation, and reporting. * Develop and ...

Chicago Public Schools

ERP Data Team Lead

Chicago, IL · On-site

Develop unit and end-to-end integration migration test plans (including testing for data extraction, transformation, data loading, and data validation). * Validate data of multiple mock conversions ...

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Data Extraction information

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How much do data extraction jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for data extraction in Chicago, IL is $28.92, according to ZipRecruiter salary data. Most workers in this role earn between $15.54 and $32.08 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 the most commonly searched types of Data Extraction jobs in Chicago, IL?

The most popular types of Data Extraction jobs in Chicago, IL are:

What are popular job titles related to Data Extraction jobs in Chicago, IL?

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

What job categories do people searching Data Extraction jobs in Chicago, IL look for?

The top searched job categories for Data Extraction jobs in Chicago, IL are:

Data Extraction jobs near you
Infographic showing various Data Extraction job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $60,162 per year, or $28.9 per hour.

Data Engineer Lead

Lisle, IL • On-site

TEKFORTUNE INC
Recruiting and Staffing Services • 11 - 50 employees
Learn more about TEKFORTUNE INCexternal

$112K - $135K/yr

Full-time

Re-posted 14 days ago

Job description

Job Summary:
TEKFORTUNE INC is a fast-growing consulting firm specializing in staffing services for leading organizations. As a Data Engineer Lead, you will ensure data accuracy and reliability, manage data extraction and cleansing processes, and guide critical business decisions to drive growth.
Responsibilities:
• Lead the data conversion team through scoping, extraction, mapping, and loading of both the master data sets & transactional data sets from multiple sources into the SAP system through the project phases.
• Design, develop, and implement components to migrate data from legacy platforms to SAP ERP platforms.
• Define development and test templates and methods for extracting data from various sources, with a strong emphasis on PeopleSoft, BAAN, Infor LN systems.
• Evaluate and select appropriate tools and technologies for data extraction and cleansing.
• Write programs and scripts to automate data extraction, cleansing, transform and load processes.
• Identify and resolve data duplication issues. Perform data cleansing to ensure the accuracy and quality of data. Participate in governance for preventive measures due to duplication at source.
• Create and maintain data mapping documents to map source data attributes to Business partner (customer/supplier) attributes.
• Monitor Data quality issues and refine data quality rules and checks as needed.
• Collaborate with cross-functional teams, technology, and architecture groups to understand data requirements and implement data-centric solutions.
• Document processes, methodologies, and best practices for data extraction and cleansing.
• Monitor data quality and continuously improve data management processes.
Qualifications:
Required:
• PeopleSoft, BAAN, Infor LN
• 6+ years of overall technology experience that includes at least 4+ years of hands-on software development, data engineering, and systems architecture.
• Experience deploying modern data solutions leveraging components like Azure functions, Azure Data Factory or AWS Glue.
• Experience with data migration platforms like Syniti or data stage.
• Experience with at least one of the data quality products, like Informatica data quality, Talend DQ, or Atacama.
• Experience with implementing SAP ERP solution (at least one or two implementations), hands-on experience with SAP Hana.
Preferred:
• Proven experience in data extraction, data cleansing, and data management.
• Strong Proficiency in Python, Spark, PySpark, PLSQL, Pandas or similar.
• Hands-on experience in Syniti, Azure Data Factory, Synapse, ADLS and/or AWS Glue and other AWS data services.
• Design, develop, optimize, and maintain data pipelines in Azure/AWS Cloud Platforms.
• Exhibit a thorough understanding of data quality, master data management concepts and ETL/ELT operations.
• Solid experience developing and maintaining data quality dashboards.
• Solid experience maintaining data quality issue tracker and following up with data stewards/or data owners to fix critical issues.
• Strong data analysis background, including the planning and hands on execution of data cleansing and complex data conversions.
• Ability to develop reports and analyze, parse and manipulate data using SQL and tools such as Excel, Access and SQL Loader.
• Strong problem-solving skills and attention to detail.
• Ability to work independently and as part of a team.
• Excellent communication and documentation skills.
• Experience with data visualization tools and techniques. Familiarity with data warehousing processes.
• Knowledge of data governance and data quality best practices.
Company:
Tekfortune Inc. Founded in 2014, the company is headquartered in Piscataway, USA, with a team of 51-200 employees. The company is currently Growth Stage.
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About Tekfortune

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Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Piscataway, NJ, US

Year founded

2014

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