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Data Processing Jobs in Illinois (NOW HIRING)

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 ...

Federal Reserve Bank of Richmond

Data Architect

Chicago, IL

$65.75 - $84.50/hr

Implement scalable data processing frameworks capable of supporting growing dataset volumes. * Improve indexing and metadata strategies that support dataset search and discovery. * Enable advanced ...

Sonsoft Inc

Big Data

Moline, IL

$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 ...

Stellar IT Group

Senior Data Analyst

Chicago, IL · On-site

$88.60K - $111.80K/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.

sg360

Senior Variable Data Programmer (Print)

Wheeling, IL · On-site

$80K - $100K/yr

Advanced Data Processing & Engineering * Architect, develop, and optimize data processing workflows using BCC Ignite and related technologies. * Write and maintain complex transformation logic and ...

Sonsoft Inc

Big Data

Moline, IL

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 ...

CME Group

Staff Data Platform Engineer - GCP

Chicago, IL · On-site

$132.10K - $220.10K/yr

We are building a cutting-edge platform on Google Cloud to handle petabyte-scale data processing, real-time analytics, and machine learning workloads. We champion a DevSecOps culture, and our core ...

Cayuse Holdings, LLC

$28 - $30/hr

The ideal candidate will have hands-on experience designing, building, and maintaining scalable data processing pipelines, implementing machine learning solutions, and ensuring data quality across ...

Sonsoft Inc

Big Data Consultant

Moline, IL

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 ...

CNA

Principal Data Engineer

Chicago, IL · On-site

Acts as the principal builder of large-scale data processing systems and data lakes, optimized for both computational and storage efficiency on Google Cloud Platform. Applies deep technical knowledge ...

Sonsoft Inc

Big Data Consultant

Moline, IL

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 ...

Instant Serve LLC

AI Data Engineer

Moline, IL · On-site

$103.40K - $124.20K/yr

Design, develop, and manage data pipelines to handle and process large datasets with a focus on scalability and efficiency. Langchain Integration: Utilize Langchain to build and optimize AI workflows ...

Wintrust

Advanced Data Engineer

Rosemont, IL · Hybrid

$85K - $110K/yr

Build processes supporting data transformations, data structures, metadata, dependency and workload management. * Plans and executes unit test to ensure the developed code is free of functional ...

New

1 point system

Data Engineer

Chicago, IL · On-site

$118K - $141.60K/yr

Key Responsibilities Data Engineering & Pipeline DevelopmentDesign, develop, and maintain end-to-end data pipelines in Databricks using Spark and Delta Lake Build and optimize ELT/ETL processes for ...

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$11

$19

$33

How much do data processing jobs pay per hour?

As of May 30, 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 a Data Processing job?

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 key skills and qualifications needed to thrive in the Data Processing position, 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 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 job makes $10,000 a month without a degree?

In data processing, high-paying roles such as data analysts or data engineers can earn around $10,000 per month, especially with specialized skills in programming, database management, and data analysis tools. These positions often require experience and proficiency in software like SQL, Python, or cloud platforms, but may not always require a formal degree if skills are demonstrated through certifications or a strong portfolio.
More about Data Processing jobs
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 May 2026, with employment types broken down into 82% Full Time, 12% Part Time, and 6% Contract. Highlights an 94% In-person, 4% Hybrid, and 2% Remote 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.

Detroit, IL

$117.80K - $141.40K/yr

Other

Posted 14 days ago

Job description

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:
  1. 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
  1. 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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