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Data Engineer Entry Level Jobs in Aurora, IL (NOW HIRING)

dbHMS

Entry Level Building Performance Analyst

Chicago, IL · On-site

$60K - $80K/yr

We combine our passion for engineering with our client's vision to realize successful construction ... Analyzing building performance data and identifying opportunities for improvement. * Thinking ...

Capgemini

Entry Level Technologist

Chicago, IL · On-site

As an Entry-Level Technology Consultant at Sogeti, you will join one of our core practices based on ... Quality Engineering * Insights & Data From your first day, you could be contributing to real client ...

K&A Engineering, Inc.

Engineer II

Oak Brook, IL · On-site

$99K/yr

Input data into the SAP WMS and Smart Map systems, GIS, others and reconcile project completion. What were looking for: * Masters degree in Electrical Engineering or closely related engineering field ...

K&A Engineering Consulting

Engineer II

Oak Brook, IL · On-site

$99K/yr

Input data into the SAP WMS and Smart Map systems, GIS, others and reconcile project completion. What we're looking for: * Master's degree in Electrical Engineering or closely related engineering ...

SWE Solutions

Project Engineer I

Chicago, IL · On-site

$30 - $48/hr

This entry-level position provides an excellent opportunity to gain hands-on experience in ... Proficiency in Excel, Word, and PowerPoint for data analysis, reporting, and documentation.

SWE Solutions

Project Engineer I

Chicago, IL

$30 - $48/hr

This entry-level position provides an excellent opportunity to gain hands-on experience in ... Proficiency in Excel, Word, and PowerPoint for data analysis, reporting, and documentation.

SWE Solutions

Project Engineer I

Chicago, IL · On-site

$30 - $48/hr

This entry-level position provides an excellent opportunity to gain hands-on experience in ... Proficiency in Excel, Word, and PowerPoint for data analysis, reporting, and documentation.

Trilon

Municipal Engineer

Schaumburg, IL · On-site

You will work with clients to obtain data or share information. We promote a team environment, so ... the typical entry-level experience. Over six months, participants take part in a hands-on ...

Sogeti

Entry Level Technologist

Chicago, IL · On-site

As an Entry-Level Technology Consultant at Sogeti , you wi ll join one of our core practices based ... Quality Engineering * Insights & Data From your first day, you could be contributing to real client ...

Sogeti

Entry Level Technologist

Chicago, IL · On-site

As an Entry-Level Technology Consultant at Sogeti , you wi ll join one of our core practices based ... Quality Engineering * Insights & Data From your first day, you could be contributing to real client ...

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Showing results 41-60

All JobsData Engineer JobsData Engineer Entry Level JobsData Engineer Entry Level Jobs in Aurora, IL

Data Engineer Entry Level information

See Aurora, IL salary details

$44.1K

$128.6K

$176K

How much do data engineer entry level jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data engineer entry level 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 does a data engineer entry level do?

An entry-level data engineer is responsible for designing, building, and maintaining systems that allow organizations to collect, store, and analyze large amounts of data. They typically work with databases, data pipelines, and cloud platforms to ensure data is accessible and reliable for analysis. Entry-level data engineers often assist with cleaning and transforming raw data, automating data workflows, and supporting data scientists and analysts. They also learn best practices in data security and performance optimization as they gain experience.

What are some typical projects or tasks that entry-level data engineers work on during their first year?

As an entry-level data engineer, you can expect to work on tasks such as building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of different data sources. You'll often collaborate with data analysts and more senior engineers to ensure data is accurate, accessible, and well-documented. Early projects might include automating data extraction processes, setting up basic ETL (Extract, Transform, Load) workflows, or optimizing database queries. These foundational responsibilities help build the technical and teamwork skills essential for career growth in data engineering.

What are the key skills and qualifications needed to thrive as an entry level data engineer, and why are they important?

To thrive as an Entry Level Data Engineer, you need foundational knowledge in programming (such as Python or SQL), data structures, and database management, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (like AWS or Azure), and version control systems is typically expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with teams and adapt to evolving data needs. These skills ensure accurate data processing, efficient pipeline development, and successful integration within data-driven organizations.

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

AspectData Engineer Entry LevelData Analyst Entry Level
Required CredentialsBachelor's in CS, IT, or related field; some certifications (e.g., Google Cloud, AWS)Bachelor's in Statistics, Math, or related field; certifications like Microsoft Data Analyst
Work EnvironmentFocus on building data pipelines, databases, and infrastructureFocus on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is keyBusiness intelligence, marketing, finance, and consulting firms

While both roles involve working with data, Data Engineer Entry Level focuses on developing and maintaining data infrastructure, whereas Data Analyst Entry Level emphasizes analyzing data to generate insights. Both roles require strong technical skills and are essential in data-driven organizations.

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

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

What are popular job titles related to Data Engineer Entry Level jobs in Aurora, IL?

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

What job categories do people searching Data Engineer Entry Level jobs in Aurora, IL look for?

The top searched job categories for Data Engineer Entry Level jobs in Aurora, IL are:

What cities near Aurora, IL are hiring for Data Engineer Entry Level jobs?

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

Data Engineer Entry Level jobs near you
Infographic showing various Data Engineer Entry Level job openings in Aurora, IL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $128,605 per year, or $61.8 per hour.

Tax Innovation - AI Engineer - Senior Manager

Pwc

Chicago, IL

$124K - $335K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Manager

Job Description & Summary

The Opportunity
As a Tax Innovation - AI Engineer, you will lead the integration and deployment of artificial intelligence technologies within our Tax practice, enhancing performance and capabilities. As a Senior Manager, you will leverage your skills and professional networks to deliver quality results, acting as a strategic advisor and driving project success. You will be responsible for building trust with multi-level teams and stakeholders, motivating and coaching teams to solve complex problems, and applying sound judgment to develop high-performing, diverse, and inclusive teams.
In this role, you will oversee the design, development, and maintenance of data infrastructure, confirming data quality and integration across various systems. You will also engage in coaching and feedback processes to foster growth and innovation within your team. Your ability to manage data pipelines and model data effectively will be crucial in supporting efficient data management and decision-making. This position offers the opportunity to deepen your skills in AI implementation and machine learning, contributing to the overall success of our firm.
Responsibilities
- Leading the integration and deployment of artificial intelligence technologies to enhance performance and capabilities
- Overseeing the design and maintenance of data infrastructure to support efficient data management and sharing
- Managing data pipelines to validate accurate and timely data movement across systems
- Developing data models to organize and represent data in a structured manner, supporting decision-making processes
- Implementing machine learning and natural language processing techniques to drive innovation in data analytics
- Utilizing Python programming to build and refine data analytics solutions
- Conducting rapid experimentation to test new ideas and improve data-driven strategies
- Providing coaching and feedback to develop team skills and performance in data and analytics engineering
- Collaborating with stakeholders to integrate data from different and multiple sources into a unified view
- Validating data quality to maintain accuracy, consistency, and reliability for informed decision-making
What You Must Have
- At least a Bachelor's degree
- At least 6years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Leading AI implementation projects to enhance performance and capabilities
- Managing data infrastructure to promote data sharing and consumption
- Integrating data from diverse sources into unified views
- Modeling data to support efficient management and integrity
- Utilizing Python for programming and machine learning applications

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $124,000 - $335,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

What PwC employees say

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Benefits

Hours and flexibility

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Get the full story on Breakroom

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK

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