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Azure Data Engineer Jobs in Champaign, IL (NOW HIRING)

Barrow Wise Consulting

Microsoft Developer

Champaign, IL · On-site

$70K - $140K/yr

Five or more years of experience with Visual Studio, Azure DevOps, TFS, and other development tools. * Five or more years of experience with modeling data in the business domain. * Three or more ...

Lund Boats

Software Engineer Intern

Champaign, IL

$26/hr

Current enrollment in a BSin Computer Science, Data Science, Statistics, Computer Engineering, and ... Experience with cloud deployment (particularly Azure orpreferablyCloudflare) * Experience ...

Brunswick

Software Engineer Intern

Champaign, IL · On-site

$26/hr

Current enrollment in a BSin Computer Science, Data Science, Statistics, Computer Engineering, and ... Experience with cloud deployment (particularly Azure orpreferablyCloudflare) * Experience ...

Trilon

Early Career Engineer

Champaign, IL · On-site

Early Career Engineer Multiple Positions - Civil, Municipal, Transportation Engineering & Project Controls Position Type: Full-Time | On-Site/Hybrid Locations: Detroit, Cleveland, Maumee, Chicago ...

Trilon Group

Early Career Engineer

Champaign, IL · On-site

$65K - $95K/yr

Early Career Engineer Department: Community Infrastructure Employment Type: Full Time Location: Champaign, IL Compensation: $65,000 - $95,000 / year Description Early Career Engineer Multiple ...

All JobsAzure Data Engineer JobsAzure Data Engineer Jobs in Champaign, IL

Azure Data Engineer information

See Champaign, IL salary details

$44.6K

$129.9K

$177.8K

How much do azure data engineer jobs pay per year?

As of Aug 4, 2026, the average yearly pay for azure 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 the difference between Azure Data Engineer vs Data Analyst?

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

What are the key skills and qualifications needed to thrive as an Azure Data Engineer?

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

What is an Azure Data Engineer?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.

Is an Azure Data Engineer a good career?

An Azure Data Engineer is a valuable role focused on designing and implementing data solutions using Microsoft Azure cloud services. It typically requires skills in data modeling, SQL, and tools like Azure Data Factory and Databricks, with certifications such as Microsoft Certified: Azure Data Engineer Associate enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data management and analytics.
What are the most commonly searched types of Azure Data Engineer jobs in Champaign, IL? The most popular types of Azure Data Engineer jobs in Champaign, IL are:
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What cities near Champaign, IL are hiring for Azure Data Engineer jobs? Cities near Champaign, IL with the most Azure Data Engineer job openings:
Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in Champaign, IL as of July 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $129,906 per year, or $62.5 per hour.

Software Engineer - SaaS Platform

Reconstruct

Champaign, IL • On-site

Full-time

Re-posted 27 days ago

Job description

About the job: Software Engineer SaaS Platform

How often do you get the chance to make a global impact developing the latest AI inside of the built world? Reconstruct's Visual Command Center (VCC) uses AI and Machine Learning inside of computer vision to track the lifecycle of large capital assets like data centers, airports, hospitals, water treatment systems, etc. Come join our team with your talents as a Software Engineer SaaS Platform. Check us out at www.reconstructinc.com.

Must be able to come into the company office in Menlo Park, CA; Chicago, IL; or Champaign, IL.

Responsibilities

  • Program new features & writing tests on sprint tasks
  • Collaborate with your fellow engineers and product management team to design and deliver our 'best in class' software solution that tracks physical, capital assets with various forms of reality capture vs. their design
  • Partner with fellow engineers through pair programming, design reviews, and knowledge-sharing sessions and jointly own feature delivery from concept to production
  • Design, implement, and maintain scalable, secure, and high-performance backend and frontend components of the SaaS platform
  • Lead architecture decisions and contribute to system design documents, technical specs, and coding standards
  • Ensure infrastructure-as-code is in place for reliable, repeatable deployment in collaboration with DevOps
  • Address technical debt that may occur and proactively identify risks in the platform and assist with timely troubleshooting any complex customer issues that may occur

Skills & Qualifications

  • Bachelor's degree in Computer Science or related technical field
  • 5+ years of professional software engineering experience in a SaaS environment
  • Strong command of modern programming languages (e.g., Python, JavaScript)
  • Experience with front-end frameworks (e.g., Vue) and backend technologies (e.g., Node.js)
  • Proficiency in database design and management (SQL and NoSQL)
  • Familiarity with cloud platforms such as AWS, Azure, or OCI
  • Experience with containerization (Docker) and orchestration (Kubernetes)
  • Solid grasp of CI/CD tools (e.g., GitLab CI)
  • Understanding of distributed systems, RESTful APIs, and microservices architecture
  • Excellent problem-solving skills and ability to navigate complex engineering trade-offs
  • Strong communication skills, both written and verbal & demonstrated ability to take ownership, lead technical projects, and work independently & collaboratively