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Data Engineer Jobs in Wheaton, IL (NOW HIRING)

AS TRADE LLC

DATA ENGINEER

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer - Retail & E-Commerce (2-3 Years Experience) About the Role We are seeking a Data Engineer - Retail & E-Commerce to support data pipelines and analytics platforms. This role focuses on ...

Comprehensive Resources Inc.

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Role : Data Engineer Location : Chicago, IL (3days onsite) Experience : Min. 10+ Years Client Interview - in-person in Chicago, IL. Must be strong on Complex sql queries and Databricks Seeking a ...

Roadrunner

Data Engineer

Downers Grove, IL · On-site

$114K - $137K/yr

We are seeking an experienced Data Engineer with expertise in the Microsoft Business Intelligence stack to design, build, and maintain robust data pipelines and analytical models. This role focuses ...

Roadrunner

Data Engineer

Downers Grove, IL · On-site

$114K - $137K/yr

We are seeking an experienced Data Engineer with expertise in the Microsoft Business Intelligence stack to design, build, and maintain robust data pipelines and analytical models. This role focuses ...

Roadrunner

Data Engineer

Downers Grove, IL

$114K - $137K/yr

We are seeking an experienced Data Engineer with expertise in the Microsoft Business Intelligence stack to design, build, and maintain robust data pipelines and analytical models. This role focuses ...

Roadrunner

Data Engineer

Downers Grove, IL · On-site

$114K - $137K/yr

We are seeking an experienced Data Engineer with expertise in the Microsoft Business Intelligence stack to design, build, and maintain robust data pipelines and analytical models. This role focuses ...

Dlapiper

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

DevSelect

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Data Engineer Location: Chicago, Ill Openings: 1 Type: Permanent hire The Client is searching for an experienced data engineer. This person will be responsible for building and managing an array of ...

IMC

Data Engineer

Chicago, IL

$118K - $141K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal candidate is energized by working in a cutting-edge environment that enables IMC to continue to be at the ...

Cushman & Wakefield

Data Engineer

Chicago, IL

$118K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

Zeno

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer Zeno Group is hiring a data engineer to join our team. This role reports into Zeno's AI & Innovation practice and works closely with our Data & Intelligence (D&I) team daily. Zeno's D&I ...

Cushman & Wakefield

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

Cushman & Wakefield

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

Zeno

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer Zeno Group is hiring a data engineer to join our team. This role reports into Zeno's AI & Innovation practice and works closely with our Data & Intelligence (D&I) team daily. Zeno's D&I ...

Cushman & Wakefield

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

IMC

Data Engineer

Chicago, IL · On-site

$175K - $225K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal candidate is energized by working in a cutting-edge environment that enables IMC to continue to be at the ...

IMC

Data Engineer

Chicago, IL · On-site

$175K - $225K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal candidate is energized by working in a cutting-edge environment that enables IMC to continue to be at the ...

The Hartford

Data Engineer

Chicago, IL · Hybrid

$100K - $151K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...

Apexon

Data engineer

Chicago, IL · On-site

$118K - $141K/yr

We enable #HumanFirstDIGITAL Data Engineer Engineer will be part of the datastore-migration Factory team that will be responsible to perform for the end-to-end datastore migration from on-prem ...

Cushman & Wakefield

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

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All JobsData Engineer JobsData Engineer Jobs in Wheaton, IL

Data Engineer information

See Wheaton, IL salary details

$43K

$125.4K

$171.6K

How much do data engineer jobs pay per year?

As of Jul 8, 2026, the average yearly pay for data engineer in Wheaton, IL is $125,372.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,700.00 and $132,900.00 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 Wheaton, IL? The most popular types of Data Engineer jobs in Wheaton, IL are:
What are popular job titles related to Data Engineer jobs in Wheaton, IL? For Data Engineer jobs in Wheaton, IL, the most frequently searched job titles are:
What cities near Wheaton, IL are hiring for Data Engineer jobs? Cities near Wheaton, IL with the most Data Engineer job openings:
Data Engineer jobs near you

DATA ENGINEER

AS TRADE LLC

Chicago, IL • On-site

$118K - $141K/yr

Other

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

Job description

Data Engineer – Retail & E-Commerce (2-3 Years Experience)About the Role

We are seeking a Data Engineer – Retail & E-Commerce to support data pipelines and analytics platforms. This role focuses on data ingestion, transformation, and validation for retail and ecommerce datasets. You will collaborate with analytics teams to support reporting needs. Ideal for early-career data professionals.

Key Responsibilities
  • Support ETL / ELT data pipelines
  • Write SQL queries and basic Python scripts
  • Assist with data ingestion and transformation
  • Perform data quality checks
  • Support data warehouse activities
  • Collaborate with BI teams
  • Maintain technical documentation
Required Qualifications
  • 2-3 years of experience in data engineering or analytics
  • Strong SQL skills
  • Basic Python knowledge
  • Understanding of ETL concepts
  • Exposure to cloud platforms
  • Strong analytical mindset
  • Good communication skills
Preferred Qualifications
  • Experience with data engineering fundamentals
  • Knowledge of retail & e-commerce data
  • Transactional data processing experience
  • Understanding of dimensional modeling basics
  • Exposure to AWS basics, S3, and Redshift
  • Batch processing experience
  • Schema design basics knowledge
  • Experience in data validation and quality checks
  • Ability to collaborate effectively with BI teams

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