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Data Processing Jobs in Aurora, IL (NOW HIRING)

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.

Data Science/MLOps Engineer

Chicago, IL · On-site

$118K - $141K/yr

Develop and optimize data ingestion, processing, and analytics pipelines for structured and unstructured data. * Collaborate with cross functional teams to translate business and analytical ...

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 ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... processing. - Implement data quality checks, validation, and monitoring. - Enable machine learning workflows with clean, well-structured datasets. - Support analytics and reporting use cases ...

Design and develop data ingestion processes from multiple sources, including: * Infrastructure monitoring platforms * CMDB and asset management systems * Cloud platforms (Azure, AWS) * Enterprise ...

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 ...

Data Support Engineer

Chicago, IL · On-site

$118K - $141K/yr

Strong analytical skills, with the ability to diagnose complex data processing bottlenecks. Nice-to-Have Skills Data orchestration tools (e.g., Apache Airflow, Azure Data Factory). Data governance ...

Data Support Engineer

Chicago, IL · On-site

$118K - $141K/yr

Strong analytical skills, with the ability to diagnose complex data processing bottlenecks. Nice-to-Have Skills Data orchestration tools (e.g., Apache Airflow, Azure Data Factory). Data governance ...

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

... processing. - Implement data quality checks, validation, and monitoring. - Enable machine learning workflows with clean, well-structured datasets. - Support analytics and reporting use cases ...

Expert-level SQL and strong proficiency in Python (Scala or Java a plus) for large-scale data processing and transformation. * Deep experience with cloud data platforms (e.g., Databricks, Snowflake ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Senior Data Engineer

Chicago, IL · On-site

$70 - $80/hr

Develop and optimize large-scale data processing solutions using Scala, Spark, and SQL on modern data platforms. * Build and operate trusted data pipelines across secure cloud environments such as ...

Senior Data Engineer

Chicago, IL · On-site

$70 - $80/hr

Develop and optimize large-scale data processing solutions using Scala, Spark, and SQL on modern data platforms. * Build and operate trusted data pipelines across secure cloud environments such as ...

Senior Data Engineer Con II

Chicago, IL · On-site

$109K - $148K/yr

Build and manage data processing workloads within modern lakehouse platforms, including Microsoft Fabric / OneLake (preferred). * Ensure data quality, reliability, and consistency by implementing ...

Senior Data AI Engineer

Chicago, IL · On-site

$118K - $141K/yr

Researches, identifies and implements process improvements that address complex technology gaps ... Strong SQL and data analytical skills; experience building data marts and feature datasets for data ...

... js) or data processing (e.g., Spark, Stanford CoreNLP, gensim) Relational database and SQL skills Experience with cloud infrastructures Experience with tools and best practices for software ...

Data Engineer

Chicago, IL · On-site

$175K - $225K/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 ...

Showing results 21-40

Data Processing information

See Aurora, IL salary details

$12

$20

$34

How much do data processing jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for data processing in Aurora, IL is $20.09, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $22.16 per hour, depending on experience, location, and employer.

What is data processing?

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 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 are the key skills and qualifications needed to thrive in data processing, 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 do you do as a data processing?

A data processing professional collects, organizes, and analyzes data to ensure accuracy and usability. They use tools like spreadsheets, databases, and data management software to clean, transform, and prepare data for reporting or decision-making. Attention to detail and knowledge of data handling techniques are essential in this role.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

What are the most commonly searched types of Data Processing jobs in Aurora, IL?

The most popular types of Data Processing jobs in Aurora, IL are:

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

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

Infographic showing various Data Processing job openings in Aurora, IL as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $41,792 per year, or $20.1 per hour.

Senior Data Analyst

Stellar IT Group

Chicago, IL • On-site

$88K - $111K/yr

Full-time

Re-posted 27 days ago


Job description

Overview:
TITLE: Senior Data Analyst
Location: Chicago, IL (some travel to McLean, VA maybe required)
Duration: 7+ months
Role Overview
We are seeking experienced Senior Data Analysts to support advanced data engineering and analytics initiatives. This role requires strong technical expertise, hands-on problem solving, and the ability to work independently in a fast-paced environment.
Core Technical Skills
  • Python / PySpark: 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.
  • Snowflake: Hands-on background in cloud data warehousing.
  • Linux / Unix: Comfortable with shell scripting for navigation and automation.
  • Dashboarding / Visualization: Strong experience with tools such as Tableau, Power BI, or QuickSight.

Preferred Qualifications
  • Capital One Experience: Familiarity with internal tools and ecosystem is highly valued for faster onboarding.
  • Proactive Learner: Ability to quickly adapt to new tools and processes without extensive documentation.
  • Self-Starter: Demonstrated capability to take ownership of problems and drive solutions independently.

Skills:
Python,PySpark,SQL,AWS