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Data Processing Jobs in Chicago, IL (NOW HIRING)

Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis, submission of reports * Attending project meetings, schedule control, submit for permits for on ...

Data Engineer

Chicago, IL · On-site

$118K - $141.80K/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 ...

Data engineer (IL)

Chicago, IL · On-site

$118K - $141.80K/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 ...

Data Engineer

Chicago, IL · On-site

$72 - $73/hr

Advanced SQL & Distributed Data Processing (Spark SQL, Hive, Impala) * Spark Structured Streaming & Real-Time Data Pipeline Development * Hadoop Ecosystem & Big Data Technologies (Kafka, Hive, HBase ...

Sr. Data Engineer

Chicago, IL · Hybrid

$118K - $141.80K/yr

Big Data Processing: Implement and manage data processing workflows using PySpark and Databricks to handle large-scale data sets. * Database Management: Design, implement, and maintain SQL databases ...

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 ...

Data Engineer

Deerfield, IL

$116.40K - $139.80K/yr

Design, develop, and maintain scalable data pipelines and ETL/ELT processes Work with large datasets to ensure efficient data processing and transformation Collaborate with cross-functional teams ...

Data Services Programmer

Aurora, IL · On-site

$65K - $75K/yr

Responsibilities include processing customer data to meet USPS mailing regulations through solutions/services such as; address integrity (CASS, NCOA, DSF), merge-purge, segmentation, drop shipping ...

Data Engineer (PySpark + AWS)

Chicago, IL · On-site

$118K - $141.80K/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 ...

Data Engineer

Chicago, IL · Hybrid

$118K - $141.80K/yr

Experience with Spark, Pandas, NumPy for data processing * Must have previous client experience working for this customer in the past 5 years Preferred Skills & Qualifications * Solid understanding ...

Data Architect

Chicago, IL · Hybrid

$65.75 - $84.50/hr

Design, develop, and maintain robust data pipelines using Databricks to process and transform large-scale datasets. * Write efficient, reusable, and scalable SQL and/or Python code for data ingestion ...

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Data Processing information

See Chicago, IL salary details

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$35

How much do data processing jobs pay per hour?

As of May 28, 2026, the average hourly pay for data processing in Chicago, IL is $20.89, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $23.03 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.
What are the most commonly searched types of Data Processing jobs in Chicago, IL? The most popular types of Data Processing jobs in Chicago, IL are:
What job categories do people searching Data Processing jobs in Chicago, IL look for? The top searched job categories for Data Processing jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Data Processing jobs? Cities near Chicago, IL with the most Data Processing job openings:
Infographic showing various Data Processing job openings in Chicago, IL as of May 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $43,457 per year, or $20.9 per hour.
Data Processor

Full-time

Posted 5 days ago


Element Materials Technology rating

7.5

Company rating: 7.5 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

56th of 103 rated laboratories


Job description

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of the operations team in one of the various laboratories across Element, the Data Processer position primarily responsible for assisting in designing, planning, and coordinating geotechnical instrumentation projects, scheduling control, obtaining permits for on-site installation, and setting up and commissioning monitoring.

Responsibilities

  • Propose engineering documents for clients' approval, on-site installation and hands-on monitoring of sensors, instruments, and equipment 
  • Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis, submission of reports 
  • Attending project meetings, schedule control, submit for permits for on-site installation, set up, and commission monitoring 
  • Assist in designing, planning, and coordinating geotechnical instrumentation projects, scheduling control, obtaining permits for on-site installation, and setting up and commissioning monitoring, providing input into health, safety, environmental and quality policies ensuring uptodate documentation 
  • Liaise and coordinate with client for installation and monitoring issues while overseeing all instrumentation works including production of method statements, project quality plan, calibration, installation, data acquisition, data verification, data processing, web database, data presentation, update of instrumentation drawings and reporting 
  • Shall be responsible for preparing all necessary reports as specified in the contract’s documents and client submission 

Skills / Qualifications

  • Working experience in geotechnical instrumentation and site investigation works 
  • Physically fit and able to withstand the challenging working conditions 
  • Strong and determined quality focus with indefatigable determination to get the job done under the most challenging conditions 
  • Self-motivated team player with excellent organisational and communication skills

What Element Materials Technology employees say

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