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Data Engineer Jobs in Urbana, IL (NOW HIRING)

3B Staffing LLC

Software Engineer (Cloud/Data)

Champaign, IL · On-site

$114.70K - $137.70K/yr

Software Engineer (Cloud/Data) Key Responsibilities: * System Reliability & Troubleshooting: Monitor system performance, analyze failures, and provide fast and accurate solutions. * Production ...

SynergisticIT

Data Analyst

Champaign, IL · On-site

Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time ...

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Data Engineer information

See Urbana, IL salary details

$44.8K

$130.6K

$178.6K

How much do data engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for data engineer in Urbana, IL is $130,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,200.00 and $138,400.00 per year, depending on experience, location, and employer.

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 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.

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 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.

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.

More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Urbana, IL? The most popular types of Data Engineer jobs in Urbana, IL are:
What are popular job titles related to Data Engineer jobs in Urbana, IL? For Data Engineer jobs in Urbana, IL, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Urbana, IL look for? The top searched job categories for Data Engineer jobs in Urbana, IL are:
What cities near Urbana, IL are hiring for Data Engineer jobs? Cities near Urbana, IL with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Urbana, IL as of May 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 82% In-person, 9% Hybrid, and 9% Remote job distribution, with an average salary of $130,552 per year, or $62.8 per hour.
Data Engineer / Data Platform Engineer Internship Fall 2026

Data Engineer / Data Platform Engineer Internship Fall 2026

University of Illinois

Champaign, IL • On-site

$114.70K - $137.70K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

About Dow
Dow (NYSE: DOW) is one of the world's leading materials science companies, serving customers in high-growth markets such as packaging, infrastructure, mobility and consumer applications. Our global breadth, asset integration and scale, focused innovation, leading business positions and commitment to sustainability enable us to achieve profitable growth and help deliver a sustainable future. We operate manufacturing sites in 30 countries and employ approximately 36,000 people. Dow delivered sales of approximately $43 billion in 2024. References to Dow or the Company mean Dow Inc. and its subsidiaries. Learn more about us and our ambition to be the most innovative, customer-centric, inclusive and sustainable materials science company in the world by visiting
At Dow, we believe in putting people first and we're passionate about delivering integrity, respect and safety to our customers, our employees and the planet.
Our people are at the heart of our solutions. They reflect the communities we live in and the world where we do business. Their diversity is our strength. We're a community of relentless problem solvers that offers the daily opportunity to contribute with your perspective, transform industries and shape the future. Our purpose is simple - to deliver a sustainable future for the world through science and collaboration. If you're looking for a challenge and meaningful role, you're in the right place.
Dow has part-time Data Engineering and Data Platform Engineering internship opportunities within Dow's Enterprise Data & Analytics organization.
Position Overview
This position is an in-person, part-time (15-20 hours per week) internship role based out of Champaign, IL at the Dow Delivery Center at UIUC (University of Illinois Urbana Champaign) in Research Park. Individuals who are within one to three years of graduation and are currently enrolled at the University of Illinois Urbana Champaign working towards a Bachelor's or Master's degree in a related technical field are encouraged to apply. The duration of the internship is typically 12-14 weeks during the fall academic semester.
As a Data Engineer Intern, you will focus on the ingestion, persistence, and curation of data as defined by specific projects. The on-site Dow Delivery Center at UIUC people manager and technical manager will provide in-person mentorship across your day-to-day activities.
Data Engineer Responsibilities
  • Create data pipelines for projects in the Azure environment.
  • Design, develop, test, and implement analytics including curation and ingestion of data from different source systems and driving end-to-end data flow for multiple solutions.
  • Identify opportunities for innovating with digital capabilities aiming to accelerate Dow's digital transformation.
As a Data Platform Engineer Intern, you will work with a multi-disciplinary IT expert team of analysts, engineers, developers, and support team members to create and maintain Azure cloud-based data and AI solutions. The on-site Dow Delivery Center at UIUC people manager and technical manager will provide in-person mentorship across your day-to-day activities.
Data Platform Engineer Responsibilities
  • Develop and implement Azure cloud-based solutions for data and AI using tools such as Azure Data Factory, Azure SQL, Azure OpenAI, Azure Function Apps, Azure Logic Apps, and Azure Databricks.
  • Maintain and monitor existing Azure infrastructure and workloads to ensure performance, reliability, and scalability using infrastructure as code tools such as ARM, Bicep and Terraform within Azure DevOps.
  • Ensure the security of Azure applications and infrastructure through best practices including Role Based Access Controls and authentication using Service Principals and Managed Identities from Entra.
  • Perform troubleshooting and root cause analysis for infrastructure issues to ensure minimal downtime and quick resolution.
  • Work closely with developers and senior employees to implement continuous delivery systems following Agile methodology.
  • Document best practices, workflows, and strategies in DevOps Wiki for knowledge transfer and infrastructure maintenance.
Qualifications
Required
  • Must be currently enrolled at the University of Illinois Urbana Champaign.
  • Must be working towards a Bachelor's or Master's degree in a related technical field.
  • Must be within one to three years of graduation.
  • Must be legally authorized to work in the United States. No visa sponsorship or support is available.
Preferred
  • GPA of 3.0 or higher.
  • Degree in Computer Science, Computer Information Systems, or other engineering disciplines.
  • Experience with cloud platforms such as AWS, GCP or Azure.
  • Familiarity with data lakehouse platforms such as Databricks or Snowflake.
  • Familiarity with Python, Scala, SQL, and scripting languages such as PowerShell.
  • Experience with databases, data ingestion, and data modeling.

Please apply here for consideration: Data Engineer / Data Platform Engineer Internship Fall 2026 Semester at the Dow Delivery Center at UIUC (Champaign, IL)
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About University of Illinois

Sourced by ZipRecruiter

The University of Illinois, located in Urbana, Illinois, US, is a prominent entity in the higher education sector. Operating its official functions through its website uillinois.edu, the institution provides a range of educational programs and services. The University was founded in 1867 and has since grown dramatically both in size and reputation. Its core values are embodied in its mission to enhance the lives of its students and citizens in the state, nation, and world through leadership in learning, discovery, engagement, and economic development. The university boasts several notable achievements including producing Nobel laureates and Pulitzer prize winners. It is renowned for its research programs and is known for significant advancements across various fields including engineering, science, and humanities.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Urbana, IL, US

Year founded

1974

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