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Data Engineer Jobs in Champaign, IL (NOW HIRING)

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 ...

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 ...

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 ...

GHR Engineers & Associates, INC.

Be Seen First

Mechanical Engineer

Champaign, IL · On-site

$75K - $95K/yr

About the Role We are seeking an experienced Mechanical Engineer to join our MEP team. You will ... Experience with specialized building types -- healthcare, laboratory, data center, or cleanroom

Trilon

Entry Level Engineer

Champaign, IL

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 ...

Trilon Group

Entry Level Engineer

Champaign, IL · On-site

$70K - $75K/yr

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 ...

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 ...

Trilon Group

Staff Engineer

Champaign, IL · On-site

$70K - $85K/yr

Besides working on specific and limited portions of an experienced engineer's assignments, you will also: » Apply standard practices and techniques in specific situations, adjust and correlate data ...

Trilon

Staff Engineer

Champaign, IL

Are you eager to work on diverse engineering projects? Fehr Graham is a fast-growing Midwest ... Apply standard practices and techniques in specific situations, adjust and correlate data ...

Varsity Tutors

Data Science Tutor

Champaign, IL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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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 Jul 28, 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.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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.

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.

What are Data Engineers?

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.

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 does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
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:
What are popular job titles related to Data Engineer jobs in Champaign, IL? 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 July 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $129,906 per year, or $62.5 per hour.
Data Scientist/Data Engineer - Junior (Remote)

Data Scientist/Data Engineer - Junior (Remote)

SynergisticIT

Champaign, IL • On-site

Other

Posted 5 days ago

Job description

Your Resume Isn’t the Problem — Your Positioning Is No Interviews or no Offers Isn’t for a Lack of Experience. It’s for the Lack of a relevant Updated Tech stack! Most job seekers blame their resume when they don’t get interviews, but the real issue is positioning. Employers want candidates who demonstrate practical skills, confidence, and readiness. SynergisticIT helps you build that profile through hands‑on training, real projects, and personalized interview coaching. The program also markets your resume directly to Fortune 500 companies ensuring your profile reaches real decision‑makers. Whether you’re a recent graduate, someone with a career gap, or a laid‑off developer, We help you present yourself as a strong, capable candidate. When you’re positioned correctly, opportunities open up. If you’re getting interviews but not offers, you’re closer than you think—and that’s the most frustrating stage to be in. You’ve already proven you’re employable enough to get screened, but something breaks during technical rounds: data structures, problem-solving, system design, project explanations, or even the way you communicate tradeoffs. Most candidates don’t fail because they’re “not smart.” They fail because they prepared the wrong way—watching tutorials on youtube, doing coursework on udemy/Courserra, building shallow projects, or memorizing answers without mastering fundamentals. SynergisticIT’s approach is built for this exact scenario. Since 2010, SynergisticIT has helped candidates move from “almost” to “offer,” with our candidates landing salaries typically ranging from $90,000 to $154,000 depending on role and stack. Candidates have received offers from employers such as Apple, Google, PayPal, Visa, Wells Fargo, Intel, Citi, JPMC, Walmart Labs, AutoZone, Deloitte, Bank of America, and more. SynergisticIT works with clients hiring for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers. The focus is on high-demand tracks: Java / Full Stack / DevOps and Data (Analytics/Engineering/Science) + Machine Learning/AI. Interview success improves when you can demonstrate not only coding ability, but also the “end-to-end” thinking employers want: APIs, backend design, database decisions, cloud deployment, CI/CD, and real project narratives. Please read our blogs Ideal candidates for interview-focused support include: recent grads with limited experience, candidates stuck after multiple interviews, professionals returning after layoffs, candidates with career gaps. SynergisticIT also supports the candidate journey by assisting with STEM extension and providing process support for H-1B/green card filing through employment partners (actual filing depends on the employer). Explore resources and get started on your Journey to get Hired: please read our blogs · Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ · Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ If you’re tired of being “final round” without the offer, stop guessing and start preparing with a plan. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume.

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