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Data Processing Jobs in Elgin, IL (NOW HIRING)

CNA

Principal Data Engineer

Chicago, IL · On-site

Acts as the principal builder of large-scale data processing systems and data lakes, optimized for both computational and storage efficiency on Google Cloud Platform. Applies deep technical knowledge ...

Comprehensive Resources Inc.

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Support ETL/ELT processes and collaborate with data engineering teams. * Collaboration & Leadership: Partner with application developers, data engineers, BI teams, and stakeholders to understand data ...

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 ...

Green Thumb

Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Ingest, store, process, and analyze large datasets efficiently, ensuring data is always accessible and accurate for downstream consumers * Design and maintain scalable data infrastructure and data ...

Pwc

Data Engineer - Manager

Rosemont, IL · On-site

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 ...

Pwc

Data Engineer - Manager

Chicago, IL · On-site

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 ...

Green Thumb

Data Engineer

Chicago, IL · On-site

$95K - $115K/yr

Ingest, store, process, and analyze large datasets efficiently, ensuring data is always accessible and accurate for downstream consumers * Design and maintain scalable data infrastructure and data ...

CNA

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 ...

IMC

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 ...

Scadea

Azure Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Design and implement scalable ETL/ELT pipelines using Azure Data Factory (ADF). · Big Data Processing: Build high-performance, distributed data transformation workloads via Azure Databricks and ...

IMC

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 ...

Sonsoft Inc

Data Scientist (No H1B)

Chicago, IL

... 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 ...

Pwc

Data Engineer - Manager

Chicago, IL

$99K - $232K/yr

Within our Technology Consulting practice, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for ...

Pwc

Data Engineer - Manager

Rosemont, IL

$99K - $232K/yr

Within our Technology Consulting practice, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for ...

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All JobsData Processing JobsData Processing Jobs in Elgin, IL

Data Processing information

See Elgin, IL salary details

$12

$20

$34

How much do data processing jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for data processing in Elgin, IL is $20.03, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $22.12 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Processing position, 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 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 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 is a Data Processing job?

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.

Is AI replacing data entry jobs?

AI is automating many data entry tasks by using machine learning and optical character recognition, which can increase efficiency and reduce manual labor. However, data processing jobs still require human oversight for complex or unstructured data, and roles involving data validation, analysis, and management remain essential. Professionals in data processing should develop skills in AI tools and data management to stay relevant.

What is the highest paying job in data?

In data-related fields, roles such as Data Science Director, Chief Data Officer, or Senior Data Architect tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with extensive experience and relevant certifications.
What are the most commonly searched types of Data Processing jobs in Elgin, IL? The most popular types of Data Processing jobs in Elgin, IL are:
What job categories do people searching Data Processing jobs in Elgin, IL look for? The top searched job categories for Data Processing jobs in Elgin, IL are:
What cities near Elgin, IL are hiring for Data Processing jobs? Cities near Elgin, IL with the most Data Processing job openings:
Data Processing jobs near you
Infographic showing various Data Processing job openings in Elgin, IL as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $41,669 per year, or $20 per hour.
Principal Data Engineer

Principal Data Engineer

CNA

Chicago, IL • On-site

Full-time

Re-posted 8 days ago

Job description

You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.
CNA seeks to offer a comprehensive and competitive benefits package to our employees that helps them - and their family members - achieve their physical, financial, emotional and social wellbeing goals.
For a detailed look at CNA's benefits, check out our Candidate's Guide.
An individual contributor role that provides the highest level of leadership in the design, development, and integration of strategic, high-priority business applications across the entire software development lifecycle (Agile). This role also provides guidance to others to support the building of complex technical capabilities.
JOB DESCRIPTION:
Essential Duties & Responsibilities
Performs a combination of duties in accordance with departmental guidelines:
  • Acts as the principal builder of large-scale data processing systems and data lakes, optimized for both computational and storage efficiency on Google Cloud Platform. Applies deep technical knowledge on data modeling and best engineering practices.
  • Independently delivers results, creating value for the CNA brand, customers, and key internal stakeholders. Works with external (and offshore) resources as required.
  • Leads the design, implementation and automation of data pipelines sourcing data from internal and external systems, transforming the data for the optimal needs of various systems and business requirements.
  • Leads robust unit testing to ensure deliverables match the design and provides expertise to support subsequent release testing.
  • Actively adheres to established quality and reliability standards, and ensures team adheres to the same quality and standards working in an Agile development environment.
  • Leads the design of complex physical data models, projects and cloud-based data lake constructs including SQL/NoSQL database systems. Leads the creation of integrated data views based on business or analytics requirements.
  • Researches and leads the identification and implementation of process improvements that address complex technology gaps. Builds strong knowledge of technology enablers.
  • Leads the design and building of data solutions and applications that enable reporting, analytics, data science, and data management.
  • Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies. Drives the evolution of CNA application development processes and standards.
  • Applies machine learning to work as applicable.

May perform additional duties as assigned.
Reporting Relationship
Typically Director or above
Skills, Knowledge & Abilities
  • Expert knowledge of relational database concepts, ETL/ELT, star schema, data modeling.
  • Expert knowledge of data integration design and development, ensuring accuracy and ease of consumption. Strong troubleshooting and problem solving skills.
  • Proficient in Python or advanced SQL in a business environment with large-scale, complex datasets.
  • Excellent communication and interpersonal skills and the ability to work effectively with peers and team members in a highly matrixed environment.
  • Strong experience in building data analytics solutions using Google Cloud Platform services such as Google BigQuery, Cloud Storage, Dataflow, DataProc, Pub/Sub, Cloud Composer, or DataPrep. AWS, including, Amazon Redshift, Postgres, Elastic MapReduce a plus.
  • Preferred experience with the insurance industry, its products and services.
  • Strong experience in implementing big data processing technology. Apache Spark preferred.
  • Working knowledge of Business Intelligence tools.

Education & Experience
  • Bachelor's degree with Master's preferred in Computer Science, Information Technology, related discipline or equivalent work experience.
  • Typically 7+ years of experience in data, analytics or application development.
  • 3+ years of coding proficiency in at least one programming language (Python, Java, SQL).
  • Experience using Agile methods preferred.
  • Previous project leadership experience preferred.
  • Applicable certifications preferred (GCP, Data Engineering).

CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contact leaveadministration@cna.com.

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