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Data Engineer Jobs in Champaign, IL (NOW HIRING)

Saigepartners

Data Engineer

Champaign, IL · On-site

$125 - $135/hr

Data Engineer · Location: Columbus, OH (Onsite - based out of Champaign, IL) · Job Type: Direct Hire · Salary: $125-135k/base (negotiable based on experience). About the Opportunity Saige Partners ...

Zmodo AI Inc

Infrastructure Engineer

Champaign, IL · On-site

$100K - $132K/yr

You will be enhancing our data storage capacity, writing new support programs and scripts, and troubleshooting database code. To ensure success as an infrastructure engineer, you should exhibit ...

Smartz

Infrastructure Engineer

Champaign, IL · On-site

$100K - $132K/yr

You will be enhancing our data storage capacity, writing new support programs and scripts, and troubleshooting database code. To ensure success as an infrastructure engineer, you should exhibit ...

Smartz

Infrastructure Engineer

Champaign, IL · On-site

$100K - $132K/yr

You will be enhancing our data storage capacity, writing new support programs and scripts, and troubleshooting database code. To ensure success as an infrastructure engineer, you should exhibit ...

Droisys

Software Engineer

Champaign, IL · On-site

Net and C# applications for instrument control, data collection and analysis. Train and assist end ... C++ programming language is helpful but not required Experience in data visualization or data ...

Wolf Soccer Club

Remote Data Analyst

Champaign, IL · On-site

Wolf Soccer Club is investing in data and analytics to enhance decision-making, optimize team performance, and support long-term strategic growth. Role Description The Remote Data Analyst at Wolf ...

Trilon

Municipal Engineer

Champaign, IL · On-site

You will work with clients to obtain data or share information. We promote a team environment, so you'll work with fellow engineers, environmental scientists and many more people. And you'll develop ...

LHH US

Quality Engineer

Champaign, IL

$80K - $90K/yr

Analyze production data and trends to identify improvement opportunities. * Support efforts to ... Bachelor's degree in engineering, Quality, Manufacturing Engineering, Industrial Engineering ...

LHH US

Quality Engineer

Champaign, IL

$80K - $90K/yr

Analyze production data and trends to identify improvement opportunities. * Support efforts to ... Bachelor's degree in engineering, Quality, Manufacturing Engineering, Industrial Engineering ...

Experience Champaign Urbana

Test Lab Engineer

Urbana, IL · On-site

$115 - $150/hr

Use robust statistical methods to interpret performance data and make formal recommendations to ... Bachelor's degree in engineering (electrical, mechanical, or similar). * Working knowledge of test ...

Nvidia

Principal Systems Software Engineer

Champaign, IL · On-site

$135K - $181K/yr

GPU accelerated data processing has moved from proof of concept to production deployments ... You will need to have strong programming skills, a deep understanding of software development ...

Nvidia

Principal Systems Software Engineer

Champaign, IL · On-site

$135K - $181K/yr

GPU accelerated data processing has moved from proof of concept to production deployments ... You will need to have strong programming skills, a deep understanding of software development ...

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All JobsData Engineer JobsData Engineer Jobs in Champaign, IL

Data Engineer information

See Champaign, IL salary details

$44.6K

$129.9K

$177.8K

How much do data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data engineer in Champaign, IL is $129,906.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,700.00 and $137,700.00 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.
More about Data Engineer jobs

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

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

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

What job categories do people searching Data Engineer jobs in Champaign, IL look for?

The top searched job categories for Data Engineer jobs in Champaign, IL are:

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Champaign, IL as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,906 per year, or $62.5 per hour.

Data Engineer

Saigepartners

Champaign, IL • On-site

$125 - $135/hr

Other

Posted 5 days ago

Job description

Data Engineer · Location: Columbus, OH (Onsite - based out of Champaign, IL) · Job Type: Direct Hire · Salary: $125-135k/base (negotiable based on experience).

About the Opportunity

Saige Partners is seeking a talented Data Engineer to join a high-performing engineering team focused on building modern data platforms that power advanced analytics, machine learning, and business intelligence solutions. This role offers the opportunity to develop scalable, high-performance data pipelines while partnering with data scientists, consultants, and business stakeholders to deliver trusted, actionable data. If you enjoy solving complex data challenges, working with cloud technologies, and building reliable data infrastructure that drives business decisions, this is an excellent opportunity to make an immediate impact.

What You'll Do
  • Design, develop, and optimize scalable data pipelines that integrate data from a variety of internal and external sources.
  • Build and maintain robust data platforms that support advanced analytics, reporting, and predictive modeling initiatives.
  • Develop, test, troubleshoot, and enhance data products to meet evolving business and client needs.
  • Monitor system performance and ensure high levels of data quality, integrity, and availability.
  • Collaborate with engineers, data scientists, consultants, and business stakeholders to improve data accessibility and usability.
  • Implement modern software engineering best practices including automated testing, version control, CI/CD pipelines, and Infrastructure as Code.
  • Continuously evaluate new tools and technologies to improve platform performance, scalability, and reliability.
  • Help deliver innovative, data-driven solutions that create measurable business value for clients.
Qualifications
  • 3 6 years of experience as a Data Engineer or in a related data engineering role.
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or another quantitative discipline.
  • Strong experience designing and building scalable, data-intensive applications and pipelines.
  • Proficiency in Python and SQL, with experience developing efficient, maintainable code for large datasets.
  • Experience with distributed data processing technologies such as Apache Spark and/or Databricks.
  • Experience working with cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform (GCP).
  • Experience with workflow orchestration tools such as Apache Airflow.
  • Knowledge of Git, CI/CD pipelines, automated testing, and Infrastructure as Code.
  • Strong analytical and troubleshooting skills with a focus on improving data reliability and quality.
  • Excellent communication and collaboration skills with the ability to work effectively across cross-functional teams.
  • Self-motivated, detail-oriented, and committed to continuous learning.
  • Experience in financial services, consulting, or risk management is a plus.
Why Join This Opportunity?

Make an impact from day one with ownership of meaningful technical projects. Work alongside highly skilled engineers, consultants, and data professionals on challenging, high-value initiatives. Develop modern cloud-based data solutions using cutting-edge technologies. Partner directly with clients to solve complex business challenges through data. Expand your technical expertise while working across multiple industries and business domains. Join a collaborative culture that values innovation, technical excellence, and continuous improvement. Enjoy opportunities for professional growth while helping shape the future of enterprise data platforms.

About Saige Partners

At Saige Partners, we connect exceptional talent with organizations where they can make an immediate impact. Our relationship-focused recruiting approach helps professionals find opportunities that align with their skills, career goals, and long-term success.

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