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Data Processor Jobs in Chicago, IL (NOW HIRING)

Propose improvements to streamline data processing, storage, and retrieval * Ensure compliance with data privacy regulations * Understand emerging capabilities and be forward thinking regarding their ...

Sr. Data Engineer

Chicago, IL Β· On-site

$118K - $141K/yr

... data processes using Azure Functions and Python. β€’ Utilize Databricks and Spark for data processing tasks. β€’ Collaborate closely with other data professionals and stakeholders to define ...

Reporting to the Senior Director of Business Process and Data Ops, the ideal candidate combines strong analytical and problem-solving skills with an operational mindset, brings a solid understanding ...

Data Architect

Chicago, IL Β· On-site +1

$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 ...

DATA Architect

Chicago, IL Β· On-site

$65.75 - $84.50/hr

The role involves designing data synchronization processes, developing data models for cloud databases, and implementing data pipelines, while collaborating with cross-functional teams to deliver ...

Experience with data processing and management, including Relational Database Management Systems (RDBMS) such as Postgres or MySQL. * Experience with machine learning frameworks like TensorFlow and ...

Data Architect

Chicago, IL Β· On-site

$65.75 - $84.50/hr

It requires deep technical expertise in data architecture, database design, ETL processes, reporting/analytics, big data, and cloud. The Data Architect should understand the system development life ...

Lead Data Engineer

Chicago, IL Β· 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 ...

Data Architect

Chicago, IL Β· On-site +1

$65.75 - $84.50/hr

It requires deep technical expertise in data architecture, database design, ETL processes, reporting/analytics, big data, and cloud. The Data Architect should understand the system development life ...

Data Engineer

Chicago, IL Β· On-site

$46.07 - $68.64/hr

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

Data Engineer III

Chicago, IL Β· On-site

$118K - $141K/yr

Develop and optimize advanced SQL, Python, and Spark solutions for data processing. * Build and ... support integrations using Azure Data Factory, Microsoft Fabric, and REST/SOAP APIs. * Monitor ...

Data Engineer - Chicago, IL (Hybrid)

Chicago, IL Β· On-site

$118K - $141K/yr

Perform Develop and manage ETL processes using Python, PySpark, and SQL. * Work with Databricks for data processing. * Utilize AWS services like S3, CloudWatch, IAM, SNS, and Lambda. * Familiarity ...

Data Engineer III

Chicago, IL Β· On-site

$118K - $141K/yr

Develop and optimize advanced SQL, Python, and Spark solutions for data processing. * Build and ... support integrations using Azure Data Factory, Microsoft Fabric, and REST/SOAP APIs. * Monitor ...

Showing results 21-40

Data Processor information

See Chicago, IL salary details

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How much do data processor jobs pay per hour?

As of Sep 14, 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.

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 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 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 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.

How much does a data processor earn?

The average salary for a data processor typically ranges from $30,000 to $45,000 per year, depending on experience, location, and industry. Entry-level positions may start lower, while experienced data processors with specialized skills or certifications can earn higher wages. Many roles also offer benefits such as health insurance and paid time off.

What do you do as a data processor?

A data processor collects, organizes, and manages data to ensure accuracy and consistency. They often use software tools like spreadsheets or databases and may perform tasks such as data entry, validation, and updating records to support business operations.

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 cities near Chicago, IL are hiring for Data Processor jobs?

Cities near Chicago, IL with the most Data Processor job openings:

Infographic showing various Data Processor job openings in Chicago, IL as of September 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Temporary. Highlights an 80% In-person, 10% Hybrid, and 10% Remote job distribution, with an average salary of $43,424 per year, or $20.9 per hour.

Data Engineer - Data Integration & Analytics

Chicago, IL β€’ On-site

$118K - $141K/yr

Other

Posted 26 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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