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Data Processor Jobs in Joliet, IL (NOW HIRING)

Harris Associates

Data Analyst, Data Ops

Chicago, IL · On-site

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 ...

Federal Reserve Bank of Richmond

Data Architect

Chicago, IL · 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 ...

Payline Data

Data Architect

Chicago, IL · 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 ...

Payline Data

Data Architect

Chicago, IL · 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 ...

Google

Tax Data Systems and Process Analyst

Chicago, IL · On-site

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 ...

Eliassen Group

Lead Data Engineer

Chicago, IL · 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 ...

Rush University Medical Center

Data Engineer

Chicago, IL · On-site

$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 ...

PSRTEK

Data Engineer - Chicago, IL (Hybrid)

Chicago, IL · 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 ...

Preferred Travel Group

Data Engineer III

Chicago, IL · On-site

$120 - $150/hr

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 ...

Preferred Hotel Group

Data Engineer III

Chicago, IL · On-site

$120 - $150/hr

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 ...

Harris Associates

Data Analyst, Data Ops

Chicago, IL · On-site

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 ...

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.

IMC

Data Engineer

Chicago, IL · On-site

$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 ...

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 ...

Digitas

Manager, Data Operations

Chicago, IL · On-site

$88K - $127K/yr

Promoting a culture of process documentation. Providing guidance on process improvements and best practices for data management. Coaching junior team members. Assisting project managers and key ...

Digitas

Manager, Data Operations

Chicago, IL

$88K - $127K/yr

Promoting a culture of process documentation. Providing guidance on process improvements and best practices for data management. Coaching junior team members. Assisting project managers and key ...

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All JobsData Processor JobsData Processor Jobs in Joliet, IL

Data Processor information

See Joliet, IL salary details

$11

$19

$33

How much do data processor jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data processor in Joliet, IL is $19.61, according to ZipRecruiter salary data. Most workers in this role earn between $15.58 and $21.63 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.
More about Data Processor jobs

What are popular job titles related to Data Processor jobs in Joliet, IL?

For Data Processor jobs in Joliet, IL, the most frequently searched job titles are:

What job categories do people searching Data Processor jobs in Joliet, IL look for?

The top searched job categories for Data Processor jobs in Joliet, IL are:

What cities near Joliet, IL are hiring for Data Processor jobs?

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

Data Processor jobs near you
Infographic showing various Data Processor job openings in Joliet, IL as of August 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 68% In-person, 16% Hybrid, and 16% Remote job distribution, with an average salary of $40,798 per year, or $19.6 per hour.

Data Analyst, Data Ops

Harris Associates

Chicago, IL • On-site

Full-time

Re-posted 28 days ago

Key responsibilities

  • Partner with data consumers to understand data needs and ensure accuracy, reliability, and scalability of data and reporting outputs

  • Design, develop, and maintain data, reporting, and workflow automation solutions

  • Execute cross-functional data initiatives from requirements through delivery

Job description

The Data Ops team is responsible for delivering scalable data, reporting and operational analytics solutions that support decision-making across the firm. The team partners closely with stakeholders to enable trusted, well governed data that improves transparency, efficiency, and outcomes.

The Data Analyst, Data Ops is responsible for ensuring the accurate, timely and reliable delivery of data and analytics solutions to support process efficiency and data-centric decision making. This role partners cross functionally to design, build and enhance data, reporting and workflow automation solutions. The Data Analyst supports enterprise analytics, BI, and self-service initiatives by ensuring data is consistently modeled, documented, governed and aligned with operational risk, audit, and regulatory expectations. 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 of investment management data domains and thrives in a collaborative, agile environment.

Responsibilities:

  • Partner with data consumers to understand data needs and ensure accuracy, reliability, and scalability of data and reporting outputs 
  • Design, develop, and maintain sophisticated data, reporting, and workflow automation solutions
  • Execute high-impact, cross-functional data initiatives from requirements through delivery
  • Gain deep expertise in firm-wide business processes and translate operational needs into scalable solutions
  • Lead BI, reporting, and self-service analytics initiatives by ensuring consistent, well-modeled, and well-documented dataservice analytics initiatives by ensuring consistent, wellmodeled, and welldocumented data
  • Champion enterprise data governance by upholding and evolving data standards, definitions, and stewardship practices
  • Contribute to the design and documentation of standard operating procedures, data controls, and issue management processes
  • Ensure data processes align with operational risk, audit, and regulatory expectations
  • Participate in firm-wide initiatives such as system implementations and data integrations
  • Drive agile planning, backlog refinement, and prioritization of Data Ops initiatives
  • Foster strong cross-functional relationships and promote a culture of collaboration, accountability and continuous improvement 

Qualifications:

  • Bachelor's degree in Data Analytics, Engineering, Computer Science, Business, or a related field
  • 5+ years of experience in investment management, financial services, or a data-intensive operations environment
  • Experience with cloud platforms (Snowflake, Azure), data quality tools, data catalogs, and BI platforms (PowerBI, Tableau)
  • Advanced proficiency with SQL and Python
  • Experience working with large datasets and using analytical tools to summarize, interpret, and deliver business value
  • Demonstrated ability to analyze data issues, identify root causes, and drive crossfunctional resolution
  • Exceptional attention to detail, initiative, and adaptability, with a proactive approach to identifying data anomalies, process gaps, and improvement opportunities
  • Strong communication and presentation skills, with the ability to explain complex data concepts to non-technical stakeholders and present findings and recommendations to senior leadership
  • Demonstrated proficiency with Agile methodology and project management practices
  • Experience with data engineering, pipeline development, JIRA, SharePoint, or workflow automation tools is a plus

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