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Data Engineer Jobs in Aurora, IL (NOW HIRING)

Ascot Group

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

The Data Engineer is critical to the ongoing development and support of Data Warehousing projects for Ascot US. This position will be responsible for the analysis, development, implementation ...

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 ...

IMC B.V.

Data Engineer

Chicago, IL · On-site

$175 - $225/hr

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 ...

New

DeKalb Health

Data Engineer

Romeoville, IL · On-site

$96 - $134/hr

Job Summary The Data Engineer plays a crucial, cross-functional role here at Magid. This is a high-visibility role where your efforts will have impact on all levels of the organization. Our work ...

New

Magid Glove & Safety

Data Engineer

Romeoville, IL · On-site

$116K - $140K/yr

Job Summary The Data Engineer plays a crucial, cross-functional role here at Magid. This is a high-visibility role where your efforts will have impact on all levels of the organization. Our work ...

1 point system

Data Engineer

Chicago, IL · On-site

$118K - $141K/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 ...

1 point system

Data Engineer

Chicago, IL · Remote

$117K - $140K/yr

10+ years of IT experience, including deep expertise in data engineering & ETL. 4-6+ years of recent hands-on experience in designing, building, and scaling data pipelines. Strong hands-on experience ...

HUB

Data Engineer

Chicago, IL

$105K - $126K/yr

Position Summary We are looking for a Data Engineer - Enterprise Data & Analytics to join our DnA Infrastructure team. In this role, you will build data pipelines and infrastructure that enable ...

HUB International Limited

Data Engineer

Chicago, IL · On-site

$105K - $126K/yr

Position Summary We are looking for a Data Engineer - Enterprise Data & Analytics to join our DnA Infrastructure team. In this role, you will build data pipelines and infrastructure that enable ...

hightower

Data Engineer

Chicago, IL · Hybrid

$125K - $140K/yr

A Data Engineer builds or maintains data management systems, such as databases and data pipelines, that enable the company to access, store, and process data effectively to support decision-making ...

Hightower

Data Engineer

Chicago, IL · On-site

$125K - $140K/yr

A Data Engineer builds or maintains data management systems, such as databases and data pipelines, that enable the company to access, store, and process data effectively to support decision-making ...

Cesco

Data Engineer

Elk Grove Village, IL · On-site

$113K - $135K/yr

As a Data Engineer at Crescent Electric Supply, you will be responsible for the architecture, development, and management of Crescent's data pipelines, enabling reliable analytics and downstream ...

New

Reply

Data Engineer

Chicago, IL · On-site

$130K - $150K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone ...

Reply

Data Engineer

Chicago, IL · On-site

$130K - $150K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone ...

Reply

Data Engineer

Chicago, IL · On-site

$130K - $150K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone ...

The Hartford

GCP Data Engineer

Chicago, IL · Hybrid

$118K - $141K/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 ...

The Hartford

GCP 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 ...

Magid Glove & Safety

Data Engineer

Romeoville, IL · Hybrid

$116K - $140K/yr

Job Summary The Data Engineer plays a crucial, cross-functional role here at Magid. This is a high-visibility role where your efforts will have impact on all levels of the organization. Our work ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Aurora, IL

Data Engineer information

See Aurora, IL salary details

$44.1K

$128.6K

$176K

How much do data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data engineer in Aurora, IL is $128,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

What is a data engineer?

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 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.

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 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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Aurora, IL as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $128,605 per year, or $61.8 per hour.

Data Engineer

Ascot Group

Chicago, IL • On-site

$118K - $141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Job description


This is an opportunity to join Ascot Group - one of the world's preeminent specialty risk underwriting organizations.
Designed as a modern-era company operating through an ecosystem of interconnected global operating platforms, we're bound by a common mission and purpose: One Ascot. Our greatest strength is a talented team who flourishes in a collaborative, inclusive, and entrepreneurial culture, steeped in underwriting excellence, integrity, and a passion to find a better way, The Ascot Way.
The Ascot Way guides our people and our organization. Our underwriting platforms collaborate to find creative ways to deploy our capital in a true cross-product and cross-platform approach. These platforms work as one, deploying our capital creatively through our unique Fusion Model: Client Centric, Risk Centric, Technology Centric.
Built to be resilient, Ascot maximizes client financial security while delivering bespoke products and world class service - both pre- and post-claims. Ascot exists to solve our clients' brightest tomorrow, through agility, collaboration, resilience, and discipline.
Ascot is embedding artificial intelligence (AI) and automation across the organization to enhance decision making, efficiency, and quality of outcomes. In this role, you will be expected to work confidently alongside AI enabled tools, apply sound judgment when interpreting insights, and adapt as technology continues to evolve. We value curiosity, critical thinking, and a willingness to embrace change as part of how we work.
Position Overview:
The Data Engineer is critical to the ongoing development and support of Data Warehousing projects for Ascot US. This position will be responsible for the analysis, development, implementation, testing, and ongoing support of Ascot's data and analytics assets. The ideal candidate has a foundational understanding of data warehouse design including strong SQL/ETL skills, strong attention to detail, and a desire to continue developing technical and analytical skills in an enterprise data environment. The Data Engineer will interface regularly with business partners across Underwriting, Operations, Finance, Actuarial, and Finance. This role will be in the office with a hybrid work schedule.
Responsibilities:
  • Partner with business stakeholders to understand data, reporting, and analytics requirements and translate them into actionable solutions.
  • Design, develop, and maintain data pipelines, ETL/ELT processes, and data integrations supporting enterprise reporting and analytics.
  • Develop and optimize SQL queries, datasets, and data models to support reporting, analysis, and operational decision-making.
  • Some may build and maintain Power BI reports, dashboards, and semantic models that provide timely and meaningful business insights.
  • Validate, reconcile, and monitor data to ensure accuracy, completeness, and consistency across source systems and reporting outputs.
  • Collaborate with data engineers, business analysts, and subject matter experts to understand business processes, data structures, and reporting needs.
  • Support the testing, deployment, and ongoing maintenance of data and reporting solutions, including issue resolution and enhancements.
  • Participate in project planning, requirements gathering, estimation, and solution design activities for data-centric initiatives.
  • Document business requirements, data transformations, reporting logic, and technical processes in accordance with established standards.
  • Identify opportunities to improve data quality, automate manual processes, and enhance reporting capabilities across the organization.
  • Commitment to The Ascot Way: Embody The Ascot Way in their daily interaction with colleagues, fostering colleague engagement and development, collaboration, inclusivity, and individual accountability.

Requirements:
  • A minimum of 3 years of experience in data analytics, business intelligence, reporting, or data engineering-related roles.
  • Strong SQL development and data analysis skills.
  • Experience with Power BI or similar business intelligence tools preferred.
  • Familiarity with data warehouse concepts, ETL/ELT processes, and dimensional modeling.
  • Experience working with enterprise data platforms, cloud data services, or modern analytics environments.
  • Strong analytical, problem-solving, and stakeholder communication skills.
  • Bachelor's degree in information systems, Computer Science, Data Analytics, or a related field (or equivalent experience).
  • Experience working within the insurance industry is highly preferred, including familiarity with insurance operations, policy, claims, underwriting, finance, or regulatory reporting data domains.

***This position may be filled at a different level, depending on experience***
Compensation:
Actual base pay could vary and may be above or below the listed range based on factors including but not limited to experience, subject matter expertise, and skills. The base pay is just one component of Ascot's total compensation package for employees. Other rewards may include annual cash bonus and other forms of discretionary compensation awarded by the Company.
The annualized base pay range for this role is: $110,000 - $125,000
Company Benefits:
The Company provides a competitive benefits package that includes the following (eligibility requirements apply):
  • Health and Welfare Benefits: Medical (including prescription coverage), Dental, Vision, Health Savings Account, Commuter Account, Health Care and Dependent Care Flexible Spending Accounts, Life Insurance, AD&D, Work/Life Resources (including Employee Assistance Program), and more.
  • Leave Benefits: Paid holidays, annual Paid Time Off (includes paid state /local paid leave where required), Short-term Disability, Long-term Disability, Other leaves (e.g., Bereavement, FMLA, Adoption, Maternity, Military, Primary & Non-Primary Caregiver)
  • Retirement Benefits: Contributory Savings Plan (401k)

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