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Data Engineer Data Jobs in Elgin, IL (NOW HIRING)

Data Engineer

Chicago, IL ยท Hybrid

$118K - $141.80K/yr

Data Engineer Salary: Open + Bonus Location: Chicago, IL Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications * Bachelor s degree * 3+ years of ...

Data Engineer

Chicago, IL ยท On-site

$118K - $141.60K/yr

Key Responsibilities Data Engineering & Pipeline DevelopmentDesign, develop, and maintain end-to-end data pipelines in Databricks using Spark and Delta Lake Build and optimize ELT/ETL processes for ...

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Data Engineer

Chicago, IL

$118K - $141.60K/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 ...

Data Engineer

Chicago, IL

$118K - $141.60K/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 ...

Data Engineer

Chicago, IL

$118K - $141.60K/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 ...

Data Engineer

Chicago, IL ยท On-site

$118K - $141.60K/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 ...

Data Analytics Engineer

Chicago, IL ยท Hybrid

$118K - $141.80K/yr

Continuously expand knowledge of data and analytics engineering methodologies to enhance infrastructure maintainability and reliability * Champion self-service capabilities and data literacy among ...

Data Engineer

Chicago, IL

$120K - $150K/yr

Our innovative strategies and solutions securely and rapidly transform the way our clients do business As a Data Engineer, you will design, build, and optimize modern data platforms using Microsoft ...

Data Engineer

Chicago, IL

$120K - $150K/yr

Our innovative strategies and solutions securely and rapidly transform the way our clients do business As a Data Engineer, you will design, build, and optimize modern data platforms using Microsoft ...

Data Engineer

Chicago, IL ยท On-site

$120K - $150K/yr

Our innovative strategies and solutions securely and rapidly transform the way our clients do business As a Data Engineer, you will design, build, and optimize modern data platforms using Microsoft ...

Data Engineer

Deerfield, IL

$116.40K - $139.80K/yr

Data Engineer Location: Deerfield, IL (Onsite) Employment Type: Full-Time Job Overview: We are looking for motivated and skilled Data Engineers with 2 3 years of experience to join our growing data ...

Data Engineer

Chicago, IL ยท On-site

$118K - $141.60K/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 ...

Data Engineer

Chicago, IL ยท On-site

$118K - $141.60K/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 ...

Senior Data Engineer

Oak Brook, IL ยท Remote

$107K - $145.30K/yr

THE OPPORTUNITY Wavicle Data Solutions, LLC seeks a Senior Data Engineer in Oak Brook, IL. WHAT YOU WILL GET TO DO * Create the conceptual, logical and physical data models. * Build the ...

Data Engineer III

Chicago, IL

$112.90K - $188.10K/yr

As a Senior Data Engineer at Grainger, you will play a pivotal role in designing, building, and optimizing robust data pipelines and backend systems that power our analytics, machine learning models ...

Data Engineer

Chicago, IL

$118K - $141.80K/yr

Data Engineer Location: Chicago, IL - Hybrid Duration: Full Time Employment: Permanent Salary: $Negotiable Interview process: Teams & In- Person Position Summary The Data Engineer is responsible for ...

Cloud Data Engineer

Oak Brook, IL ยท Remote

$115.70K - $138.90K/yr

Job#: 3017356 Cloud Data Engineer Location: Oak Brook, Illinois (Remote) Employment Type: Contract to Perm Role Overview This position is for the implementation of a technology framework providing ...

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Data Engineer Data information

See Elgin, IL salary details

$45.5K

$163.1K

$240.7K

How much do data engineer data jobs pay per year?

As of May 29, 2026, the average yearly pay for data engineer data in Elgin, IL is $163,122.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,000.00 and $168,000.00 per year, depending on experience, location, and employer.

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 solid understanding of data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science, engineering, or a related field. Familiarity with data warehousing solutions (like Amazon Redshift or Snowflake), ETL tools, and cloud platforms (such as AWS, Azure, or Google Cloud) is typically required, along with relevant certifications. Strong problem-solving abilities, collaboration, and clear communication are vital soft skills for integrating complex data systems and working with cross-functional teams. These skills ensure that data pipelines are reliable, scalable, and effectively support business intelligence and analytics needs.

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

Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Ensuring data integrity and designing robust ETL pipelines that can handle these discrepancies is a key part of the role. Collaboration with data analysts, database administrators, and source system owners is crucial to resolve data mapping issues, automate data validation, and maintain reliable data flows within the organization.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the systems and infrastructure that allow organizations to collect, store, and analyze large amounts of data. They create data pipelines, ensure data quality, and optimize data flow between systems, making it accessible for data scientists and analysts. Data Engineers often work with technologies like SQL, Python, Hadoop, and cloud platforms, and play a crucial role in supporting data-driven decision-making within organizations.

What is the difference between Data Engineer Data vs Data Analyst?

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

What are popular job titles related to Data Engineer Data jobs in Elgin, IL? For Data Engineer Data jobs in Elgin, IL, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data jobs in Elgin, IL look for? The top searched job categories for Data Engineer Data jobs in Elgin, IL are:
What cities near Elgin, IL are hiring for Data Engineer Data jobs? Cities near Elgin, IL with the most Data Engineer Data job openings:
Data Engineer

$118K - $141.80K/yr

Other

Posted 29 days ago


Job description

Data Engineer

Salary: Open + Bonus

Location: Chicago, IL

Hybrid: 3 days onsite, 2 days remote

*We are unable to provide sponsorship for this role*

Qualifications

  • Bachelor s degree
  • 3+ years of experience as a data analyst, data engineer, software engineer, data scientist, financial risk analyst, business intelligence analyst
  • Ability to write and optimize complex analytical (SELECT) SQL queries
  • Ability to write and optimize python for custom data pipeline code (virtual environments, scripts vs. modules vs packages, functional programming, unit testing)
  • Strong Experience with data visualization tools - Tableau and/or Alteryx
  • Experience with Git

Preferred

  • Experience with transformation/semantic layer frameworks, such as dbt
  • Familiarity with services on at least one cloud computing platform, such as AWS or Azure, or a cloud data platform such as Databricks or Snowflake
  • Familiarity with data modeling design concepts such as 3rd-normal form or denormalization modeling concepts such as star-schema
  • Exposure to batch orchestration tools such as Apache Airflow, Dagster, or Prefect
  • Understanding of applied statistics and hands-on experience applying these concepts

Responsibilities

  • Design and maintain analytical solutions drawing from both raw and semantic data layers
  • Partner with business units to gather requirements and develop targeted analytics solutions
  • Create data models ensuring information availability in the analytics warehouse for analysis and dashboard development
  • Help establish Data Analytics standards and collaborate with embedded business analysts to ensure adherence
  • Develop comprehensive documentation and testing protocols to guarantee data accuracy and accessibility
  • Identify and distribute data and analytics best practices across the team
  • Continuously expand knowledge of data and analytics engineering methodologies to enhance infrastructure maintainability and reliability
  • Champion self-service capabilities and data literacy among business users through semantic layer utilization, analytics platforms (Tableau, Python), and CI/CD tools