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

Software Engineer

Washington, IL · On-site

$79 - $119/hr

Job Overview***WHO WE ARERelativity is a leading legal data intelligence company building ... Experience designing and building scalable systems in Azure or other cloud platforms* Experience ...

Manager; AI Engineering

Peoria, IL · On-site

$148 - $240/hr

Technology, Digital and Data Your Work Shapes the World at Caterpillar Inc. When you join ... Strong knowledge of Agile development Experience working in Azure DevOps. Summary Pay Range Pay ...

New

... data, AI, engineering, and other emerging technologies. Position Summary The Product Owner will ... Manage Azure DevOps (AzDO) work items, ensuring proper tagging, tracking, and completion. * Create ...

... Azure preferred) Integration patterns (REST APIs, messaging) Mentor engineering teams and ensure adherence to best practices. Support architecture for: Data platforms (Snowflake, ETL/ELT pipelines ...

New

Enterprise Solution Architecture, Cloud-Native & Microservices Architecture (.NET / Azure ... Must have skills 15+ years of experience in software engineering and architecture Strong experience ...

New

... data, AI, engineering, and other emerging technologies. Key Responsibilities * Partner with ... Manage project documentation using Azure DevOps and Confluence. Required Qualifications * Bachelor ...

... Azure, REST APIs, messaging, and enterprise integration patterns. • Mentor engineering teams and ensure adherence to architecture and engineering best practices. • Support architecture for data ...

New

Showing results 21-40

Azure Data Engineer information

See Peoria, IL salary details

$43.7K

$127.3K

$174.2K

How much do azure data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for azure data engineer in Peoria, IL is $127,283.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,400.00 and $134,900.00 per year, depending on experience, location, and employer.

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.

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 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.

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 infrastructure across industries.

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

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

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

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

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

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

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

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

Infographic showing various Azure Data Engineer job openings in Peoria, IL as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $127,283 per year, or $61.2 per hour.

Associate Consultant - AI Engineering

Slalom Build

Washington, IL • On-site

$76 - $95/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 15 days ago


Key responsibilities

  • Write high-quality application code, data pipelines, or infrastructure-as-code for cloud-based ecosystems using AI-assisted tooling.

  • Own the build and verification of software components at the unit and integration level, applying automated testing.

  • Contribute to data platform delivery, including cloud data warehouses, streaming systems, and AI-accelerated pipelines.


Job description

The AI Engineering Academy is Slalom's structured hiring and onboarding program for early-career engineers. Designed for the AI-native era of consulting, the Academy is an intensive learning program that prepares you to contribute to real client work confidently. During the Academy you will:

  • Complete a four-week, immersive training bootcamp covering Slalom consulting foundations,product engineering and project deliveryfundamentals, and AI-enabled engineering standards
  • Earn hyperscaler and partner certifications (AWS,GCP,Azureand others) that accelerate your readiness for deployment
  • Shadow experienced engineers on live engagements, putting your learning into practice on real work
  • Build a cohort community with fellow early-career engineers across the US and Canada
Who You'll Work With

At Slalom, we co-create custom software, data, and cloud products with clients who seek all of the benefits of modern, digital products. We're passionate about technology and compelled by its potential — building digital products, experiences, and technology-driven organizations that drive true change. We're driven by the opportunity to build the future we want to see, with anyone willing to join us.

As an Engineer joining our Americas Engineering organization, you will work with our Cloud-Build and Data teams, delivering modern engineering work powered by AI. Our engineering teams span across all engineering domains and cover the full stack — and as an AI Academy hire, you will grow your craft across domains as you develop into a well-rounded, AI-native technology consultant.

What You’ll Do

Once you complete the academy learning program, you will be deployed to client engagements and grow into a versatile, AI-native engineer across Slalom's Cloud-Build and Data capabilities. Your day-to-day work will span engineering disciplines as you build toward your areas of strength. You will:

  • Write high-quality application code, data pipelines, or infrastructure-as-code for cloud-based ecosystems (AWS, Azure, GCP), using AI-assisted tooling and copilots as a core part of how you build
  • Own the build and verification of software components at the unit and integration level, applying automated testing as a standard practice rather than an afterthought
  • Contribute to data platform delivery, including cloud data warehouses, streaming systems, and AI-accelerated pipelines
  • Configure andmaintainthe cloud infrastructure, CI/CD pipelines, and DevOps tooling your team depends on
  • Drive quality engineering practices, including test planning, automation, and defect management, with an eye toward where AI can accelerate the work
  • Partner with senior engineers, architects, and client stakeholders in cross-functional teams, and show up prepared for client-facing ceremonies like stand-ups, sprint reviews, and technical discussions
  • Bring whatyou'relearning back to the broader engineering community through knowledge-sharing forums and internal collaboration, helping shape how Slalom builds with AI
What You’ll Bring

We're hiring for potential, curiosity, and consulting aptitude alongside technical fundamentals. You don't need deep specialization yet — you need the right foundation and the mindset to grow fast in an AI-enabled delivery environment.

Technical foundation (any combination of the following):
  • Exposure to software development in one or more modern languages (e.g., Python, TypeScript, Java, .NET)
  • Familiarity with cloud platforms (AWS, GCPor Azure) at a conceptual or hands-on level
  • Basic understanding of data concepts — databases, pipelines, or analytics
  • Awareness of software quality principles — testing, debugging, or automation
  • Academic background and/or experience with AI/ML, GenAI tooling, or intelligent systems
  • Demonstrated certification in one or more of the following: AWS, Google, Microsoft, OpenAI, or Anthropic — with preference given to recent AI-focused certifications
Consulting aptitude and soft skills:
  • Clear communicator — you can explain your thinking to technical and non-technical audiences
  • Client presence — professional, curious, and comfortable in collaborative environments
  • Structured problem-solver — you break big problems into smaller ones and follow through
  • Learning agility — you pick up new tools and concepts quickly andaren'tafraid to experiment
  • Team-first mindset — you contribute positively to team dynamics and ask for help when needed
  • AI-ready delivery mindset —you'reeager to work with copilots, GenAI tools, and emerging technologies as part of your everyday workflow

Typically 0–3 years of professional or academic experience in a technology-related field. New graduates are welcome to apply.

This role is open to candidates located near certain U.S. Slalom offices. We are targeting a small number of geographic locations for this Academy cohort to foster a strong cohort community experience. These locations for Fall 2026 include: Atlanta, GA, Washington D.C., St. Louis, MO and Chicago, IL.

The AI Engineering Academy training phase will allow you to learn alongside your cohort. Following the Academy, you will work in an environment consistent with Slalom's culture — spending time in person at your local Slalom office or at a client site alongside your teammates, with flexibility for the remaining time.

About Us

Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries partner with clients to co-create powerful customer experiences, modern ways of working, and meaningful impact.

What sets us apart? We believe work should be challenging and fulfilling, not perfect, but possible. That’s why we prioritize purpose, flexibility, connection, and recognition, so our people can thrive and love what they do, most days.

Compensation and Benefits

Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that includemeaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance.

Slalom is committed to fair and equitable compensation practices.For this role, we are hiring at the following levels and targeted base pay salary ranges: The targeted base salary pay range for this role in Chicago, IL; Atlanta, GA; St. Louis, MO; and Washington, DC is $76,000 to $95,000. In addition, individuals may be eligible for an annual discretionary bonus . Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.

We will accept applicants until August 25, 2026

Wearecommittedtopaytransparencyandcompliancewithapplicablelaws.Ifyouhavequestionsorconcernsaboutthepayrangeorothercompensationinformationinthisposting,pleasecontactusat: peopleone@slalom.com .Pleasenote,thisrecipientisnotabletosupportrecruitmentinquiriesbeyondthispurpose.

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EEO and Accommodations

Slalomisanequalopportunityemployerandiscommittedtoattracting,developingandretaininghighlyqualifiedtalentwhoempowerourinnovativeteamsthroughuniqueperspectivesandexperiences.Allqualifiedapplicantswillreceiveconsiderationforemploymentwithoutregardtorace,color,religion,sex,nationalorigin,disabilitystatus,protectedveterans’status,oranyothercharacteristicprotectedbyfederal,state,orlocallaws.Slalomwillalsoconsiderqualifiedapplicationswithcriminalhistories,consistentwithlegalrequirements.Slalomwelcomesandencouragesapplicationsfromindividualswithdisabilities.Reasonableaccommodationsareavailableforcandidatesduringallaspectsoftheselectionprocess.Pleaseadvisethetalentacquisitionteamorcontact accomodationrequest@slalom.com ifyourequireaccommodationsduringtheinterviewprocess.

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