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Data Processing Jobs in Illinois (NOW HIRING)

Eliassen Group

Lead Data Engineer

Chicago, IL · On-site

$75 - $85/hr

Lead design, implementation, and optimization of large-scale data processing using Scala, Spark, SQL, and modern data platforms for attribution. * Design and operate trusted data pipelines handling ...

Eliassen Group

Lead Data Engineer

Chicago, IL · On-site

$75 - $85/hr

Lead design, implementation, and optimization of large-scale data processing using Scala, Spark, SQL, and modern data platforms for attribution. * Design and operate trusted data pipelines handling ...

SCIGON

Data Architect

Naperville, IL · On-site

$140 - $190/hr

Serve as the principal architect for enterprise data platforms, with a strong focus on cloud-based data services, ETL/ELT processes, and distributed data architectures. * Partner closely with ...

Scigon Solutions

Data Architect

Naperville, IL · On-site

$135K - $180K/yr

Serve as the principal architect for enterprise data platforms, with a strong focus on cloud-based data services, ETL/ELT processes, and distributed data architectures. * Partner closely with ...

Unchain Data

Compliance Senior Data Analyst

Chicago, IL · On-site

$110 - $160/hr

Support 1099-DA reporting processes, including customer data, transaction reporting, cost-basis information, corrections, and downstream reporting requirements. * Track implementation activities ...

New

Rush University Medical Center

Data Engineer

Chicago, IL · On-site

$46.07 - $68.64/hr

Other information: • Bachelor's Degree. • 5 years of experience. • Strong background in cloud computing, software engineering and data processing. • Data management experience. • Experience ...

Dhalite Inc.

Entry level Data Analyst

Chicago, IL · On-site

Job Summary We are seeking a Data Analyst to collect, process, and analyze data to support business decision-making and operational efficiency. The ideal candidate will have strong analytical skills ...

Prophecy Technologies

Azure Data Analyst

Chicago, IL · On-site

Support real-time and batch data processing requirements.Cloud & ArchitectureDesign scalable cloud-native data architectures.Evaluate and enhance existing data platforms and technology stacks.

Sonsoft Inc

Big Data

Moline, IL · On-site

$48 - $62/hr

Background in all aspects of software engineering with strong skills in parallel data processing, data flows, REST APIs, JSON, XML, and micro service architecture. * Must have strong programming ...

Eliassen Group

Sr. Big Data Engineer

Chicago, IL · On-site

$84 - $94/hr

Set technical direction for large-scale data processing solutions using Scala, Spark, SQL, and modern data platforms across the attribution ecosystem. * Architect and operate trusted pipelines ...

Eliassen Group

Sr. Big Data Engineer

Chicago, IL · On-site

$84 - $94/hr

Set technical direction for large-scale data processing solutions using Scala, Spark, SQL, and modern data platforms across the attribution ecosystem. * Architect and operate trusted pipelines ...

Stellar IT Group

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

Skilled in data processing using Databricks or Jupyter Notebooks. * SQL : Proficient in complex data manipulation and retrieval. * AWS (S3) : Experience consuming and managing data in cloud storage.

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Showing results 21-40

All JobsData Processing JobsData Processing Jobs in Illinois

Data Processing information

See Illinois salary details

$11

$19

$33

How much do data processing jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for data processing in Illinois is $19.64, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $21.68 per hour, depending on experience, location, and employer.

What is data processing?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

What are the typical daily responsibilities of someone working in data processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

What are the key skills and qualifications needed to thrive in data processing, and why are they important?

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What do you do as a data processing?

A data processing professional collects, organizes, and analyzes data to ensure accuracy and usability. They use tools like spreadsheets, databases, and data management software to clean, transform, and prepare data for reporting or decision-making. Attention to detail and knowledge of data handling techniques are essential in this role.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

What are the most commonly searched types of Data Processing jobs in Illinois?

The most popular types of Data Processing jobs in Illinois are:

What are popular job titles related to Data Processing jobs in Illinois?

For Data Processing jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Data Processing jobs in Illinois look for?

The top searched job categories for Data Processing jobs in Illinois are:

What cities in Illinois are hiring for Data Processing jobs?

Cities in Illinois with the most Data Processing job openings:

Data Processing jobs near you
Infographic showing various Data Processing job openings in Illinois as of August 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 100% In-person job distribution, with an average salary of $40,847 per year, or $19.6 per hour.

Data Engineer - Data Integration & Analytics

Talent Management Plus, Inc.

Chicago, IL • On-site

$110 - $150/hr

Other

Posted 4 days ago

Job description

Chicago or Detroit, IL

Position

Data Engineer - Data Integration & Analytics

Location

Addison, IL or Warren MI (on-site 4 days/week)

Duration

Full Time Employment

Description

Data Engineer to lead in the development and delivery of enterprise applications to support business strategy and growth. This position will work closely with business and technology leaders to understand the enterprise objectives and build capabilities in Integration and Analytical applications to support Sales, Operations and Shared Services. This role will also be instrumental in advancing Customer & Supplier Integration and Advanced Analytics capabilities to lead the industry in the utilization of data to capture market share.

Responsibilities
  • Solution Delivery
    • Perform BI solution development activities including requirements gathering, technical specifications, ETL design & development, unit & integration testing.
    • Develop and support backend data models and ETL workflows on Databricks, with a focus on building scalable data processing pipelines using Python and Spark.
    • Support data integration between supplier partners to provide accurate and up to date information to our internal and external customers
    • Review, interpret, and debug complex code. Develop maintainable code via proper structures, comments, and design
    • Generate automated, repeatable and stable processes to support data transformation, data load, data movement, and data synchronizations
    • Contribute toward the continuous improvement of our internal data capabilities
  • Solution Definition, Data Architecture & Strategy
    • Perform source data analysis - data profiling, validation, conceptual and logical data modeling, etc. - to determine the suitability of the source data for meeting the reporting requirements
    • Facilitate and lead senior IT and business teams through challenging data issues
    • Meet with subject matter experts in different areas of the business, be able to quickly learn the concepts and business language relevant to their line of business, and develop an understanding of how their data supports their business processes
    • Assist in developing the roadmap for Analytics and Advanced Analytics across the company to enable the business strategy
    • Participate in information architecture strategies such as data management, data governance, master data management and metadata management
Required Skills
  • Bachelor’s degree in computer science, Engineering or Information Systems
  • Experience working with Databricks (building data pipelines)
  • 5+ years of Data Integration and Analytics experience
  • 2 years of Integration / ETL experience
  • Strong experience with ETL techniques, data processing concepts, and programming in Python (e.g., change data capture, slowly changing dimensions, data partitioning in Spark).
  • Experience in data modeling and entity relationship diagram conventions and various data modeling patterns (e.g. - dimensional model, 3rd normal form)
  • Experience with relational databases, including a STRONG understanding of SQL Server Database Management Systems (RDBMS) concepts
Preferred Experience
  • Power BI Experience
  • Experience with Advanced Analytics - Optimization, Machine Learning and/or Predictive Analytics
  • Knowledge of ERP systems
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