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Data Processor Jobs in Chicago, IL (NOW HIRING)

IMC

Data Engineer

Chicago, IL

$118K - $141K/yr

Build, deploy, and monitor our data processing pipelines (Java, Python, Spark, Flink) * Collaborate with development teams on data modeling, data ingestion, and capacity planning * Work with users to ...

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.

Prodigious Worldwide

Manager, Data Engineering

Chicago, IL · On-site

$88K - $127K/yr

This team processes and maintains all the data that flows into our organization and is the face of the agency regarding data needs from HCP publishers. You will work with internal and external ...

1 point system

Data Engineer

Chicago, IL · On-site

$118K - $141K/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 ...

Comprehensive Resources Inc.

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Support ETL/ELT processes and collaborate with data engineering teams. * Collaboration & Leadership: Partner with application developers, data engineers, BI teams, and stakeholders to understand data ...

Gotion, Inc.

Data Analyst

Manteno, IL

This is an exciting opportunity for students or recent graduates who are passionate about data processing, analytics, and AI-driven insights. You will work on real-world projects, helping to ...

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All JobsData Processor JobsData Processor Jobs in Chicago, IL

Data Processor information

See Chicago, IL salary details

$12

$20

$35

How much do data processor jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for data processor in Chicago, IL is $20.88, 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.

How can I make 2000 a week working from home?

A data processor can potentially earn $2,000 a week by handling high-volume data entry tasks, especially if working as a freelancer or through multiple clients. Increasing income may involve developing specialized skills, using efficient data processing tools, and working full-time hours or taking on multiple projects simultaneously.

What is the difference between Data Processor vs Data Entry Clerk?

AspectData ProcessorData Entry Clerk
Required CredentialsHigh school diploma; some roles may require basic certificationsHigh school diploma; no specialized certifications typically needed
Work EnvironmentOffice settings, data centers, or remote workOffice environments, often in administrative settings
Employer & Industry UsageBusinesses, government agencies, financial institutionsCorporations, healthcare, retail, administrative offices
Common Search & ComparisonOften compared for data handling and processing tasksCompared for data input and administrative support roles

While both roles involve handling data, Data Processors typically perform more complex data management and validation tasks, often requiring some technical skills. Data Entry Clerks focus on inputting data accurately and efficiently. Understanding these differences helps in choosing the right role based on skills and career goals.

What are some common challenges faced by Data Processors and how can they be addressed?

Data Processors often encounter challenges such as managing large volumes of data accurately and efficiently, dealing with inconsistent or incomplete data, and ensuring data privacy and compliance. To address these, it's important to develop strong attention to detail, become proficient with data processing software, and stay updated on relevant data protection regulations. Collaborating closely with data analysts and IT teams can also help resolve data issues and improve workflow efficiency.

What Is a Data Processor?

A data processor transfers, organizes, and processes personal data for a company. It is typically an entry-level job that serves as a starting point for a career as a data controller. As a data processor, your duties involve processing incoming documents, transferring analog documents into digital data, verifying the information in all documents, updating document formats, and creating detailed reports on company data use and management. Qualifications for this career include excellent computer skills and a bachelor’s degree in computer science or data management.

What is a data processor job?

A data processor is responsible for collecting, organizing, and maintaining data within computer systems or databases. The role often involves data entry, validation, and ensuring data accuracy, typically requiring attention to detail and proficiency with data management tools. Data processors may work in various industries, supporting data analysis and reporting tasks.

What are the key skills and qualifications needed to thrive as a Data Processor, and why are they important?

To thrive as a Data Processor, you need strong attention to detail, accuracy in data entry, and a high school diploma or equivalent. Familiarity with spreadsheet software (such as Microsoft Excel), database management systems, and sometimes data processing software is typically required. Excellent organizational skills, the ability to follow procedures, and effective time management make someone stand out in this role. These skills ensure data integrity, minimize errors, and support efficient information management within an organization.

What are Data Processors?

Data Processors are professionals or organizations responsible for handling data on behalf of another organization, typically following specific instructions regarding how the data should be processed. Their main duties involve collecting, organizing, inputting, and maintaining data to ensure accuracy and compliance with data protection regulations. Data Processors play a crucial role in industries that require large-scale data management, such as healthcare, finance, and marketing. They must adhere to legal and contractual obligations, particularly regarding the privacy and security of the data they handle.

What job makes $10,000 a month without a degree?

A data processor typically does not earn $10,000 a month without specialized skills or experience. High-paying roles that can reach this level often involve sales, real estate, or entrepreneurship, which may not require a degree but do demand significant effort, expertise, or certifications. Most jobs with such income levels are highly competitive and often require relevant skills or industry knowledge rather than formal education alone.

What do you do as a data processor?

A data processor collects, organizes, and manages data to ensure accuracy and accessibility. They often use software tools like spreadsheets or databases and may perform tasks such as data entry, validation, and updating to support business operations.
More about Data Processor jobs
What are the most commonly searched types of Data Processor jobs in Chicago, IL? The most popular types of Data Processor jobs in Chicago, IL are:
What are popular job titles related to Data Processor jobs in Chicago, IL? For Data Processor jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Data Processor jobs in Chicago, IL look for? The top searched job categories for Data Processor jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Data Processor jobs? Cities near Chicago, IL with the most Data Processor job openings:
Data Processor jobs near you
Infographic showing various Data Processor job openings in Chicago, IL as of June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $43,424 per year, or $20.9 per hour.

Data Engineer

IMC

Chicago, IL

$118K - $141K/yr

Other

Posted 3 days ago

Key responsibilities

  • Architect, develop and deploy the Big Data environment including technologies such as Kafka, Hadoop, and Dremio.

  • Build, deploy, and monitor data processing pipelines using Java, Python, Spark, and Flink.

  • Collaborate with development teams on data modeling, data ingestion, and capacity planning.

Job description

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal candidate is energized by working in a cutting-edge environment that enables IMC to continue to be at the forefront of the evolving global financial markets.

Core Responsibilities

  • Architect, develop and deploy our Big Data environment (Kafka, Hadoop, Dremio, etc.)
  • Build, deploy, and monitor our data processing pipelines (Java, Python, Spark, Flink)
  • Collaborate with development teams on data modeling, data ingestion, and capacity planning
  • Work with users to ensure data integrity and availability
  • Act as a Big Data SME and consult on a variety of data-related questions from users and developers

Skills and Experience:

  • 5+ years experience working in a mature data engineering environment
  • 3+ years of experience building Kafka streaming applications and/or maintaining Kafka clusters
  • 2+ years of experience building applications/pipelines with Big Data backends (S3, HDFS, Databricks, Iceberg, etc)
  • Experience with Apache Spark, Apache Flink or similar tools
  • Strong Java, Python, and SQL development skills
  • Experience with common data-science toolkits, especially python-based
  • Hands-on experience with Kubernetes and Docker
  • Experience with monitoring tools such as Prometheus/Grafana, Alert Manager, Alerta and OpsGenie
  • Strong statistical analysis skills
  • Demonstrated ability to troubleshoot and conduct root-cause analysis
  • Unix scripting experience (bash, python, etc.)

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