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Data Engineer Jobs in Carbondale, IL (NOW HIRING)

Data Analysis: Conduct capability studies (Cp, Cpk) and interpret data to drive process stability ... Implement engineering plans by evaluating current situations. Handle capital expenditure budget ...

A Manufacturing Process Launch Engineer manages new product/process introductions and changes ... Conduct capability studies (Cp, Cpk) and interpret data to drive process stability. • ...

... data center operators across North America. Position Summary: The Field Engineer (FE) is an entry-level, field-based position responsible for the support and execution of an assigned scope for ...

Quality Engineer

Du Quoin, IL · On-site

$61K - $79K/yr

The Quality Engineer will be responsible to assure that all products produced and shipped conform ... Maintain database to provide analyzed data reports as necessary to aid in production control, as ...

... data center operators across North America. Position Summary: The Field Engineer (FE) is an entry-level, field-based position responsible for the support and execution of an assigned scope for ...

Quality Engineer

Marion, IL · On-site

$76K - $90K/yr

Evaluate data, set control levels and maintain SPC control charts on selected items. * Present ... E.T. accreditation. * Accepted Engineering or Engineering Technology degrees: Electrical ...

Quality Engineer

Marion, IL · On-site

$76K - $90K/yr

Evaluate data, set control levels and maintain SPC control charts on selected items. * Present ... E.T. accreditation. * Accepted Engineering or Engineering Technology degrees: Electrical ...

Electrical Controls Engineer - Power

Marion, IL · On-site

$73K - $98K/yr

  • Medical

  • Retirement

Coordinate with utilities and IT/OT stakeholders on control system interfaces and data exchange. Collaboration with Engineering Teams * Work in addition to (and in coordination with) substation ...

Bachelor's degree in Architecture, Civil, Mechanical, Electrical Engineering, Construction ... data entry Compensation (Commensurate with experience): $64854.4 To $100526.4 To access our ...

Engineering Manager

Jackson, MO · On-site

$110 - $130/hr

Support ERP processes including BOM accuracy, drawing control, and inventory data used by ... Bachelor's degree in an engineering discipline (mechanical or related) -- required. * Strong ...

New

Research Associate 3, 4, or 5

Energy, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

The candidate will combine quantitative analytical skills with technical programming capabilities to support data-driven research and information systems. Job Responsibilities: Research Associate 3: ...

Engineering Intern

Murphysboro, IL · On-site

$22/hr

  • Medical

  • Dental

  • Vision

  • Retirement

College student pursuing an engineering or engineering technology degree in: Mechanical, Industrial ... Provide regular reports of data and actions to measure progress against the plant objectives. Work ...

Maintenance Tech 2nd Shift

Marion, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Analyze machine performance data to identify root causes and recommend long-term countermeasures * Collaborate with Engineering, IT, and Production teams on automation improvements and system ...

Maintenance Tech 2nd Shift

Marion, IL

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Analyze machine performance data to identify root causes and recommend long-term countermeasures * Collaborate with Engineering, IT, and Production teams on automation improvements and system ...

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Showing results 1-20

Data Engineer information

See Carbondale, IL salary details

$44.5K

$129.6K

$177.4K

How much do data engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data engineer in Carbondale, IL is $129,635.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,400.00 and $137,400.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

What are the most commonly searched types of Data Engineer jobs in Carbondale, IL?

The most popular types of Data Engineer jobs in Carbondale, IL are:

What are popular job titles related to Data Engineer jobs in Carbondale, IL?

For Data Engineer jobs in Carbondale, IL, the most frequently searched job titles are:

What cities near Carbondale, IL are hiring for Data Engineer jobs?

Cities near Carbondale, IL with the most Data Engineer job openings:

Infographic showing various Data Engineer job openings in Carbondale, IL as of August 2026, with employment types broken down into 73% Full Time, 18% Part Time, and 9% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $129,635 per year, or $62.3 per hour.

Full-time

Re-posted 15 days ago


Job description

A Manufacturing Process Launch Engineer manages new product/process introductions and changes, working with cross-functional teams to ensure seamless factory readiness by validating processes, equipment, and quality standards, focusing on new process/product launches through robust planning, troubleshooting, root cause analysis, and continuous improvement, acting as the key manufacturing owner during ramp-up to achieve quality, cost, and schedule targets.

Perform detailed and complex job functions (ie. normal course of business activities). Investigate and recommend ways to improve efficiency in manufacturing, daily job activities on the manufacturing floor. May be required to work off shift schedule when necessary and needed for manufacturing support, startups, new line set ups and manufacturing downtime issues.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Program Leadership: Drive all operational aspects of new product/process introductions and major changes, acting as the single manufacturing owner during ramp-up.

Process Development & Validation: Define, document, and validate new assembly, molding, welding, and testing processes, ensuring equipment and fixtures meet standards. (PV Process)

Cross-Functional Collaboration: Work with Design, Quality, Manufacturing, Maintenance, and other Project Support Groups to meet all validation and implementation targets.

Quality & Performance Monitoring: Monitor yields, scrap, throughput, and downtime, leading rapid response to issues and implementing corrective actions (e.g., using 8D, 5 Whys).

Data Analysis: Conduct capability studies (Cp, Cpk) and interpret data to drive process stability.

Documentation & Handoff: Prepare documentation and ensure smooth transitions (handoff) to standard production teams.

Continuous Improvement: Capture lessons learned and implement standardized improvements for future launches.

Write process design specifications.

Analyze blueprints and interpret technical data.

Implement engineering plans by evaluating current situations.

Handle capital expenditure budget acquisition and control. Performother duties as assigned to ensure achievement of section, department, or company plan.

Develop schedule and coordinate activities of machinery and tooling suppliers. Design equipment layouts for individual lines, cells, and zones. Oversee manufacturing of product for pre-production trials. Train manufacturing/maintenance members on new and improved processes. Perform other duties as assigned to ensure achievement of section, department, or company plan.KNOWLEDGE, SKILLS AND ABILITIES Ability to prioritize workload. Effective planning and implementation skills. Detail oriented. Ability to work both independently and as a member of a team. Knowledge of machine mechanics, pneumatics, hydraulics, electronics, and materials. Effective trouble-shooting skills. Strong "hands-on" ability. Capable of reading and understanding schematics. Computer skills, Excel, Word, Email, Power Point, Solid works. PLC programming experience.QUALIFICATIONS, EDUCATION & EXPERIENCE REQUIRED A bachelor's degree is REQUIRED.
OR An associate's degree with minimum 3-5 years' experience in an engineering related role in the automotive industry.
OR 5-10 years' experience in an engineering related role in the automotive industry.ORGANIZATIONAL (AND OUTSIDE) RELATIONSHIPSCustomer
Design
Manufacturing
Maintenance
Quality
Advanced Launch
Quality Control
OMC
Production Control
etc.WORK ENVIRONMENT Office/Desk
Manufacturing Floor

Occasional Travel

PHYSICAL DEMANDS / REQUIREMENTSThe physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.Physical Demands / Requirements(0-33%)(34-66%)(67-100%)1. Standing2. Walking3. Sitting4. Lifting (weight 40 lb)5. Heaviest Weight Lifted (40 lb)6. Carrying (weight 40 lb)7. Heavy Weight Carried (40 lb)8. Pushing/Pulling9. Weight Pushed/Pulled (40 lb)10. Climbing11. Balancing12. Bending/Stoop13. Crawling14. Reaching15. Reach Above Shoulder16. Work Above Shoulder17. Walk on Uneven Ground18. Fine Manipulation19. Gross Manipulation20. Simple Grasping21. Power Grip22. Hand Twisting23. Twisting of body24. Kneeling25. Crouching

A bachelor's degree is REQUIRED.
OR

An Associates degree with minimum 3-5 years' experience in an engineering related role in the automotive industry.
OR

5-10 years' experience in an engineering related role in the automotive industry.