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Data Processing Assistant Jobs in Evanston, IL (NOW HIRING)

McDonald's - Corporate

Data Engineer III

Chicago, IL · On-site

Real-Time Data Processing * Build scalable solutions using technologies such as Kafka, Spark ... scenarios. * Assist with implementation and maintenance of eventing platforms such as Kafka ...

McDonald's - Corporate

Data Engineer III

Chicago, IL · On-site

$138K - $172K/yr

Real-Time Data Processing Build scalable solutions using technologies such as Kafka, Spark ... scenarios. Assist with implementation and maintenance of eventing platforms such as Kafka ...

McDonald's - Corporate

Data Engineer III

Chicago, IL · On-site

Real-Time Data Processing * Build scalable solutions using technologies such as Kafka, Spark ... scenarios. * Assist with implementation and maintenance of eventing platforms such as Kafka ...

Cna

Senior Data AI Engineer - Java

Chicago, IL · On-site

$128K - $169K/yr

Senior Data/AI Engineer is an individual contributor role responsible for designing, building, and ... Drives the evolution of CNA application development processes and standards. May perform additional ...

New

Orvix Engineering

Data Entry Assistant

Chicago, IL · On-site

$18 - $27/hr

About the job Data Entry Assistant Note: The role is strictly for candidates in the United States ... Knowledge of engineering terminology and data processes is a plus, but not required. Personal ...

CNA

Senior Employee Services Specialist

Chicago, IL · On-site

$47K - $78K/yr

At CNA, we strive to create a culture in which people know they matter and are part of something ... Administers employee master data and processes employee lifecycle changes in Workday HRIS, ...

Cna

Senior Employee Services Specialist

Chicago, IL · Hybrid

$47K - $78K/yr

At CNA, we strive to create a culture in which people know they matter and are part of something ... Administers employee master data and processes employee lifecycle changes in Workday HRIS, ...

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All JobsData Processing JobsData Processing Assistant JobsData Processing Assistant Jobs in Evanston, IL

Data Processing Assistant information

See Evanston, IL salary details

$11

$19

$33

How much do data processing assistant jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for data processing assistant in Evanston, IL is $19.45, according to ZipRecruiter salary data. Most workers in this role earn between $15.43 and $21.44 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data processing assistant?

To thrive as a Data Processing Assistant, you need strong data entry skills, attention to detail, and a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, database management systems, and sometimes basic knowledge of data processing software is typically required. Excellent organizational abilities, time management, and the capacity to maintain confidentiality set top performers apart. These skills ensure accurate, efficient handling of sensitive information, directly supporting effective business operations.

What are some common challenges faced by data processing assistants, and how can they be addressed?

Data Processing Assistants often encounter challenges such as managing large volumes of data with tight deadlines and ensuring the accuracy of information being entered or processed. To address these issues, it's important to develop strong organizational habits, regularly double-check work for errors, and leverage available software tools to automate repetitive tasks. Collaborating closely with data analysts, supervisors, and IT team members can also help resolve discrepancies quickly and maintain data integrity.

What is the difference between Data Processing Assistant vs Data Entry Clerk?

AspectData Processing AssistantData Entry Clerk
Required CredentialsHigh school diploma; some roles may prefer certifications in data managementHigh school diploma; basic computer skills
Work EnvironmentOffice settings, data centers, or remoteOffice environments, primarily in administrative settings
Employer & Industry UsageBusinesses, government agencies, healthcare, financeAdministrative offices, retail, healthcare, government
Common Search & ComparisonOften compared for data handling tasks, technical skillsCompared for basic data input, administrative support

The main difference is that Data Processing Assistants handle more complex data management tasks, often involving data validation and processing, while Data Entry Clerks focus primarily on inputting data accurately. Both roles are essential in data-related workflows but differ in scope and technical requirements.

What does a data processing assistant do?

A data processing assistant is responsible for collecting, organizing, and verifying data to ensure accuracy and completeness. They often use software tools like spreadsheets or database systems and may perform tasks such as data entry, cleaning, and formatting to support data analysis and reporting.

What are popular job titles related to Data Processing Assistant jobs in Evanston, IL?

For Data Processing Assistant jobs in Evanston, IL, the most frequently searched job titles are:

What job categories do people searching Data Processing Assistant jobs in Evanston, IL look for?

The top searched job categories for Data Processing Assistant jobs in Evanston, IL are:

What cities near Evanston, IL are hiring for Data Processing Assistant jobs?

Cities near Evanston, IL with the most Data Processing Assistant job openings:

Data Processing Assistant jobs near you

Data Engineer - Data Integration & Analytics

Talent Management Plus, Inc.

Chicago, IL • On-site

$110 - $150/hr

Other

Posted 11 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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