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Data Processing Jobs in Illinois (NOW HIRING)

Diverse Lynx

Data Engineer (PySpark + AWS)

Chicago, IL · On-site

$118K - $141K/yr

Optimize data processing jobs and improve performance and cost-efficiency on AWS. Required Skills & Experience * Strong experience in PySpark for data processing and pipeline development. * Hands-on ...

Citigroup, Inc.

Data Science Lead Analyst

Schaumburg, IL · On-site

$157K - $163K/yr

Modify existing data processes according to new business requirements. Identify and segment Retail Services reporting populations across data sources. Perform functionality testing and generate ...

Damco

Data Engineer

Lisle, IL · On-site

$112K - $135K/yr

Build and maintain secure and compliant data processing pipelines by using different tools and techniques * Prior experience working in a manufacturing industry * Operate independently in client ...

Damco Solutions

Data Engineer

Lisle, IL · On-site

$112K - $135K/yr

Build and maintain secure and compliant data processing pipelines by using different tools and techniques * Prior experience working in a manufacturing industry * Operate independently in client ...

ADDSOURCE

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

The ideal candidate should have experience building scalable data pipelines, processing large datasets, and delivering enterprise-grade data solutions. Required Skills: * Strong hands-on experience ...

IT Labs

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Build and optimize Snowflake data models, schemas, Snowpipe ingestion processes, and query performance. * Collaborate with business stakeholders, analysts, and engineering teams to translate business ...

IT Labs

Lead Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Build and optimize Snowflake data models, schemas, Snowpipe ingestion processes, and query performance. * Collaborate with business stakeholders, analysts, and engineering teams to translate business ...

Diverse Lynx

Data Engineer

Rosemont, IL · On-site

$115K - $138K/yr

Role Descriptions: • 3+ Experience with developing Batch ETL/ELT processes using SQL Server and SSIS ensuring all related data pipelines meets best-in-class standards offering high performance. • ...

Rush University Medical Center

Data Engineer

Chicago, IL

$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 ...

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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 Jun 23, 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 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 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 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.

Is a data processor a good job?

A data processing job involves organizing, inputting, and managing data using tools like spreadsheets and database software. It can offer steady employment and requires attention to detail, but may have repetitive tasks and limited advancement opportunities depending on the organization. Overall, it can be a suitable entry-level role for those interested in data management.

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.

How can I make 2000 a week working from home?

Data processing jobs can pay varying rates depending on experience, complexity, and workload, with some freelancers earning $2000 or more weekly by taking on multiple projects or clients. To reach this income level, strong skills in data entry, analysis, or software tools are essential, along with efficient time management and possibly certification. Building a reliable client base and working consistently are key factors in achieving higher weekly earnings from home.

How much does data processing make?

Data processing jobs typically pay between $35,000 and $70,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced professionals with skills in data management and software tools can earn higher salaries.
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 June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $40,847 per year, or $19.6 per hour.
Data Engineer (PySpark + AWS)

Data Engineer (PySpark + AWS)

Diverse Lynx

Chicago, IL • On-site

$118K - $141K/yr

Other

Posted 18 days ago

Job description

Job Title: Data Engineer (PySpark + AWS)
Location : Chicago, IL 5 days onsite (Local or nearby states only)
Exp: 10+ Yrs
RTTO - 5 Days Onsite
Job Description:
Job Summary
We are looking for a skilled Data Engineer to design and build scalable data solutions using PySpark and AWS services. The ideal candidate will have hands-on experience in building modern data platforms using Apache Iceberg and implementing Medallion architecture on AWS.
Key Responsibilities
  • Design and implement end-to-end data solutions using PySpark, ensuring scalability and performance.
  • Build and manage data pipelines using AWS services such as AWS Glue, EMR, and Lambda.
  • Develop data products using PySpark + AWS Glue stack.
  • Implement Medallion Architecture (Bronze, Silver, Gold layers) for structured data processing.
  • Work with Apache Iceberg tables for efficient data storage, versioning, and schema evolution.
  • Ensure data quality, governance, and optimization across pipelines.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Optimize data processing jobs and improve performance and cost-efficiency on AWS.

Required Skills & Experience
  • Strong experience in PySpark for data processing and pipeline development.
  • Hands-on experience with AWS ecosystem (Glue, EMR, Lambda, S3).
  • Experience implementing Medallion Architecture.
  • Practical knowledge of Apache Iceberg or similar table formats.
  • Strong understanding of distributed data processing and big data frameworks.
  • Experience designing scalable and reliable data pipelines.
  • Good understanding of data modeling and ETL/ELT concepts.

Preferred Qualifications
  • Experience working outside of Databricks-only environments (ability to build solutions using native AWS stack).
  • Familiarity with modern data lake architectures and open table formats.
  • Knowledge of performance tuning and cost optimization in AWS.
  • Experience with CI/CD pipelines for data engineering workflows.

What the Client is Specifically Looking For
  • Engineers who can independently design solutions using PySpark (not limited to Databricks).
  • Strong expertise in AWS-native data engineering tools.
  • Hands-on implementation experience with Apache Iceberg (preferred over Delta).
  • Ability to build data products using Glue + PySpark stack.
Clear understanding and implementation of Medallion architecture using AWS services.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
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About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

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