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Data Processing Jobs in Illinois (NOW HIRING)

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 ...

Background in all aspects of software engineering with strong skills in parallel data processing, data flows, REST APIs, JSON, XML, and micro service architecture * Must have strong programming ...

Data Engineer

Peoria, IL · On-site

$112K - $135K/yr

The ideal candidate will have strong expertise in Python, SQL, Spark, ETL processes, and cloud technologies to support data-driven decision-making and advanced analytics. Key Responsibilities

Background in all aspects of software engineering with strong skills in parallel data processing, data flows, REST APIs, JSON, XML, and micro service architecture. * Must have strong programming ...

Background in all aspects of software engineering with strong skills in parallel data processing, data flows, REST APIs, JSON, XML, and micro service architecture. * Must have strong programming ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... and DevOps processes • Ensure system scalability, reliability, and security compliance ... Pandas, NumPy for data processing • Must have previous client experience working for this ...

AI Data Engineer

Moline, IL · On-site

$103K - $124K/yr

Design, develop, and manage data pipelines to handle and process large datasets with a focus on scalability and efficiency. Langchain Integration: Utilize Langchain to build and optimize AI workflows ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

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 ...

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 ...

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 ...

Showing results 41-60

Data Processing information

See Illinois salary details

$11

$19

$33

How much do data processing jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for data processing in Illinois is $19.64, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $21.68 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 Illinois?

The most popular types of Data Processing jobs in Illinois are:

What job categories do people searching Data Processing jobs in Illinois look for?

The top searched job categories for Data Processing jobs in Illinois are:

What cities in Illinois are hiring for Data Processing jobs?

Cities in Illinois with the most Data Processing job openings:

Infographic showing various Data Processing job openings in Illinois as of August 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 100% In-person job distribution, with an average salary of $40,847 per year, or $19.6 per hour.

Data Science/MLOps Engineer

ADDSOURCE

Chicago, IL • On-site

$118K - $141K/yr

Other

Posted 4 days ago


Job description

Role: Data Science/MLOps Engineer

Experience: - Min 8+ Years

Location: - Chicago, IL

We are seeking a highly skilled Senior Engineer with strong expertise in Python, Data Science, AI/ML, and AWS cloud technologies, along with hands on experience in Terraform. The role involves building scalable data driven and AI/ML solutions, leveraging foundation models and generative AI services, and contributing to cloud infrastructure automation and best engineering practices.

Responsibilities: -

  • Design, develop, and maintain Python based applications, data pipelines, and AI/ML solutions.
  • Build, train, evaluate, and deploy machine learning and data science models for production use.
  • Develop and integrate Generative AI solutions using AWS Bedrock, including foundation model selection, prompt engineering, and inference orchestration.
  • Design and manage AWS cloud infrastructure using Terraform following IaC best practices.
  • Build scalable AI/ML and GenAI deployment architectures using AWS services.
  • Develop and optimize data ingestion, processing, and analytics pipelines for structured and unstructured data.
  • Collaborate with cross functional teams to translate business and analytical requirements into technical solutions.
  • Implement CI/CD pipelines, monitoring, logging, and performance optimization.
  • Ensure security, compliance, governance, and cost optimization of cloud and AI workloads.
  • Mentor junior engineers, conduct code reviews, and contribute to architectural decisions.
  • Create and maintain technical documentation, solution designs, and operational runbooks.

Educational Qualifications: -

  • Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
  • Technical certification in multiple technologies is desirable.

Skills: -

Mandatory skills

  • Strong Min 8 10 years of overall software engineering experience.
  • Strong proficiency in Python for backend systems, data processing, and ML workflows.
  • Hands on experience in Data Science and Machine Learning, including feature engineering, model evaluation, and deployment.
  • Experience with ML frameworks such as Scikit learn, PyTorch, TensorFlow, or similar.
  • Strong experience with AWS services, including EC2, S3, Lambda, ECS/EKS, RDS, SageMaker, and AWS Bedrock.
  • Practical knowledge of AWS Bedrock for building and operationalizing Generative AI applications.
  • Hands on experience with Terraform for infrastructure provisioning and environment management.
  • Experience building cloud native, scalable, and highly available systems.
  • Solid understanding of data stores (SQL, NoSQL) and data processing architectures.
  • Familiarity with Docker, Kubernetes, and modern DevOps practices.
  • Strong problem solving, communication, and collaboration skills

Good-to-Have Skills

  • Prior experience with clinical, biomedical, or healthcare NLP use cases
  • Familiarity with healthcare data standards, terminologies, or ontologies
  • Experience deploying ML/NLP solutions in regulated or production healthcare environments
  • Knowledge of distributed systems and cloud-native data architectures
  • Experience with additional data stores, data warehouses, or NoSQL technologies
  • Strong technical documentation and stakeholder communication skills
  • Experience working in agile or cross-functional product development teams
VeeRteq Solutions is an Equal Opportunity Employer