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Entry Data Engineer Jobs in Illinois (NOW HIRING)

Manufacturing Engineer

Chillicothe, IL · On-site

$60K - $95K/yr

We are seeking an Entry to Experienced Level candidate to become an integral part of our ... Analyze manufacturing data and identify opportunities for process improvements and waste reduction.

Electrical Engineer

Chillicothe, IL · On-site

$70K - $105K/yr

We are seeking an entry to experienced level candidate to become an integral part of our ... Experience with data acquisition systems and measurement equipment. * Experience with manufacturing ...

The role partners across supply chain, commercial, finance, and engineering teams to standardize ... Build repeatable, scalable solutions to reduce manual data entry across applications and support ...

Network Engineer

Chicago, IL · On-site

$150K - $210K/yr

Our engineers work shoulder to shoulder with traders to design, build, and operate the ... entry sessions. * Take a data-driven, automated approach to diagnosing complex network issues ...

Bioinformatics Management

Campus, IL · Hybrid

$110K - $122K/yr

Organizational Context: The Entry-Point Pyramid Within the CTSI BMIC strategy, the Research ... Full-stack software engineering, data persistence, and application delivery. * Operations ...

Bioinformatics Management

Campus, IL · Hybrid

$110K - $122K/yr

Organizational Context: The Entry-Point Pyramid Within the CTSI BMIC strategy, the Research ... Full-stack software engineering, data persistence, and application delivery. * Operations ...

Bioinformatics Management

Campus, IL · Hybrid

$110K - $122K/yr

Organizational Context: The Entry-Point Pyramid Within the CTSI BMIC strategy, the Research ... Full-stack software engineering, data persistence, and application delivery. * Operations ...

Showing results 41-60

Entry Data Engineer information

See Illinois salary details

$10

$18

$27

How much do entry data engineer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for entry data engineer in Illinois is $18.87, according to ZipRecruiter salary data. Most workers in this role earn between $15.82 and $21.20 per hour, depending on experience, location, and employer.

What is the difference between Entry Data Engineer vs Data Analyst?

AspectEntry Data EngineerData Analyst
Required CredentialsBachelor's in CS, IT, or related field; knowledge of SQL, Python, ETL toolsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness units, reporting teams, data visualization tools
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing, finance, consulting, retail

Entry Data Engineers focus on building and maintaining data pipelines and infrastructure, while Data Analysts interpret data to generate insights. Both roles require SQL and data handling skills, but Data Engineers typically work more on data architecture, whereas Data Analysts focus on analysis and reporting.

What are the key skills and qualifications needed to thrive as an entry data engineer?

To thrive as an Entry Data Engineer, you need a solid understanding of programming (often Python or SQL), data structures, and database fundamentals, typically supported by a relevant degree in computer science or a related field. Familiarity with ETL tools, cloud data platforms (such as AWS or Azure), and version control systems like Git is commonly required. Strong analytical thinking, attention to detail, and effective communication help you collaborate with teams and troubleshoot data issues. These skills are crucial to ensure high-quality, efficient data pipelines and enable data-driven decision-making within organizations.

What are some common challenges faced by entry data engineers during their first year on the job?

Entry-level data engineers often encounter challenges such as learning new data pipeline tools, understanding complex legacy systems, and adapting to the fast pace of data-driven environments. Balancing requests from multiple stakeholders and ensuring data accuracy can also be demanding, especially when dealing with large datasets. However, most teams provide mentorship and training to help new hires get up to speed, and collaboration with experienced engineers is encouraged to support skill development.

What does an entry data engineer do?

An Entry Data Engineer is responsible for assisting in the design, development, and maintenance of data pipelines and databases. They work with raw data, helping to clean, organize, and prepare it for analysis by more senior engineers or data scientists. Their tasks often include writing basic SQL queries, automating data collection processes, and supporting data quality initiatives. Entry-level data engineers typically work under the guidance of more experienced team members to learn best practices and develop their technical skills.
What cities in Illinois are hiring for Entry Data Engineer jobs? Cities in Illinois with the most Entry Data Engineer job openings:
Infographic showing various Entry Data Engineer job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $39,250 per year, or $18.9 per hour.

Data Science Analyst -TCOM

University of Chicago

Chicago, IL • On-site

Full-time

Re-posted 7 days ago


University Of Chicago rating

8.1

Company rating: 8.1 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

158th of 617 rated colleges and universities


Job description

Job Summary:
The University of Chicago is dedicated to transforming mental health through innovative care and research. They are seeking a Data Science Analyst to provide technical assistance for online training systems, analyze data from various sources, and support learners effectively.
Responsibilities:
• Monitor and respond promptly to messages in the LMS support email inbox and voicemail line.
• Provide clear, compassionate, and timely support to learners through phone and email.
• Troubleshoot issues with the LMS and know when to escalate or redirect to other team members or the platform provider’s support desk.
• Collaborate with the LMS provider’s support team to identify, report, and help resolve technical issues.
• Track and share patterns or recurring concerns that may indicate broader system issues.
• Work closely with the Technology & User Support Lead, teaching and learning specialists, and program administrators to improve learner support.
• Contribute to cross-team projects as needed, such as data entry, communications, or general tech assistance.
• Assists in analyzing data for the purpose of extracting applicable information. Performs research projects that provide analysis for a number of programs and initiatives.
• May assist staff or faculty members with data manipulation, statistical applications, programming, analysis and modeling on a scheduled or ad-hoc basis.
• Collects, organizes, and may analyze information from the University's various internal data systems as well as from external sources.
• Maintains and analyzes statistical models using general knowledge of best practices in machine learning and statistical inference. Performs maintenance on large and complex research and administrative datasets. Responds to requests and engages other IT resources as needed.
• Performs other related work as needed.
Qualifications:
Required:
• Minimum requirements include a college or university degree in related field.
• Minimum requirements include knowledge and skills developed through < 2 years of work experience in a related job discipline.
• Resume/CV (required)
• Cover Letter (required)
Preferred:
• Learning Management Systems.
• Knowledge Learning Management Systems and Zendesk.
• Strong communication skills with the ability to explain technical information in clear and supportive ways.
• Patience, empathy, and commitment to learner success.
• Detail-oriented and organized, with the ability to manage multiple requests efficiently.
• Comfort with technology and ability to learn new learning management systems.
• Excellent communication and coaching abilities.
• Proficiency with Microsoft Office 365 and LMS platforms.
• Organizational skills.
• Verbal and written communication skills.
• Work independently and as part of a multidisciplinary team.
Company:
University of Chicago is a world-renowned, private research university located in Chicago. Founded in 1890, the company is headquartered in Chicago, USA, with a team of 10001+ employees. The company is currently Late Stage.

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