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Data Extraction Jobs in Chicago, IL (NOW HIRING)

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.

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.

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

Posted today

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.

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.

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 ...

ERP Data Team Lead

Chicago, IL · On-site

$110K - $135K/yr

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 ...

Data Engineer

Carol Stream, IL · On-site

$71K - $105K/yr

In this role you will: • Design, develop, and maintain enterprise data solutions and database structures. • Extract, transform, and load (ETL) data from SAP, Oracle, and other business systems ...

New

Senior Data Specialist

Chicago, IL · On-site

$160K - $169K/yr

Design robust, scalable database and data extraction, transformation, and loading (ETL) solutions (15% of time spent on these job duties). Work directly on complex problems and provide solutions ...

Work directly with clients to coordinate and schedule electronic data extraction * Responsible for converting time clocks, history (including check detail, rate and position) and custom data ...

Data Conversion Specialist

Schaumburg, IL · On-site

$17.50 - $22.75/hr

Work directly with clients to coordinate and schedule electronic data extraction * Responsible for converting time clocks, history (including check detail, rate and position) and custom data ...

Client

Chicago, IL · On-site

$56.75 - $70.25/hr

... data extraction, transformation and aggregation from multiple file formats for analyzing and transforming the data to uncover insights into the customer usage patterns Extract, transform and load ...

Experience building ETL/ELT pipelines, data extraction, transformation, cleansing, mapping, and loading * Strong understanding of data quality, master data management, deduplication, and data ...

Data Engineer

Chicago, IL

$118K - $141K/yr

... of data extraction and processing. -Support continuous process automation for data ingest. -Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and ...

Showing results 21-40

Data Extraction information

See Chicago, IL salary details

$11

$28

$71

How much do data extraction jobs pay per hour?

As of Aug 21, 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:

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.

Full-time

Re-posted 2 days ago


Job description

Location: Hybrid 3x a week onsite in Chicago IL (local only)
Interview Mode: Virtual Interview
Type: Contract
Work authorization: Cannot work with OPT or CPT
Description
NTRS Asset and Market Data team is looking for an experienced and versatile Data Analytics Engineer to help us build a Security Master System. In this role, your duties will include system analysis of various applications and databases and translating those to documentation. You may also be required to create high level acceptance criteria using that documentation.
To ensure success as a technical data analyst, you should demonstrate experience performing data analysis to provide insight into the characteristics of those data sets using standard statistical methods and data science concepts.
Responsibilities:
• Analyze several existing systems to document fields and functions. Create detailed functional documentation those systems.
• Relate current systems to industry standards to help build a new system.
• Manage the execution of data analytics projects to drive value and gain insight from information.
• Analyze and review the use of advanced data analysis techniques that leverage technology to process large volumes of data, and perform complex computations in a scalable, reproducible and automated manner.
• Use data analysis to detect patterns leading to more efficient testing and data quality.
• Perform data analytics to identify and mitigate audit risks and achieve data automation, reconciliation, traceability, lineage and transparency.
• Use data analytics to provide actionable, timely and accurate data to drive business insights around regulatory risk, compliance, operations and finance.
• Familiar with data sourcing, data capture, data transformation and data preparation techniques
• Familiarity with Data Binning and K-means Clustering and applying those techniques.
• Working knowledge of core financial processes and related risks and controls and underlying data structures would be beneficial.
Skills and Experience:
• A degree, preferably in Economics, Econometrics, Engineering, Physics, (Applied) Mathematics, Accounting, Information Systems.
• Minimum 5 years of professional experience, with a minimum 2 years of relevant Data Analytics experience
• Extensive experience in technical business analysis in the fintech industry
• Exceptional communication skills toward facilitating the use of new software systems
• Knowledge of visualization tools like Tableau, Spotfire, Qlikview, etc. would be a plus
• Knowledge of ACL, databases, and hands on experience / theoretical knowledge in SQL including writing stored procedures and data extraction / manipulation using queries would be a plus