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Data Engineering Jobs in Elgin, IL (NOW HIRING)

Diverse Lynx

data engineering

Naperville, IL

Data Engineer Role Descriptions: 10 years of experience in data engineering or ETL development. Strong hands-on experience with Talend (ETL), IBM DataStage, Python (pandas| PySpark| API integrations ...

Prophecy Technologies

Azure Data Engineering

Deerfield, IL · On-site

$116K - $139K/yr

Azure Data Engineering Location: Deerfield, IL Experience: 6-8 Years Roles & Responsibilities: * Work with customers on solution design and architecture. * Coordinate with offshore teams for ...

Deinde Financial, LLC

Be Seen First

Data Engineering Manager

Chicago, IL · On-site

$170K - $180K/yr

About the Role We are a financial services company hiring a Data Engineering Manager to lead a small, high-impact team building the data infrastructure behind our loan performance, portfolio ...

E-Solutions

Data Engineering Lead

Chicago, IL

Data Engineering Lead (Migration - Oracle ODS/ODI → Microsoft Fabric) Experience: 8-10+ years Background: Higher Ed / Banner ODS | Location: Chicago, IL Overview: We are seeking a Data Engineering ...

JLL

Senior Manager, Data Engineering

Chicago, IL · On-site

The ideal candidate blends hands-on data engineering credibility with proven experience managing engineers and partnering across product, business, and enterprise data functions. What you'll get to ...

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All JobsData Engineering JobsData Engineering Jobs in Elgin, IL

Data Engineering information

See Elgin, IL salary details

$45.5K

$163.1K

$240.7K

How much do data engineering jobs pay per year?

As of Jun 12, 2026, the average yearly pay for data engineering 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.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

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, reliable, and ready for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What engineers make 500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, big data tools, and strong programming knowledge can earn salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What jobs make $1,000,000 a year?

In data engineering, earning $1,000,000 annually is rare and typically involves senior roles such as lead data engineers or those working in high-paying industries like finance or technology, often with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Most high earners in this field also supplement income through equity, bonuses, or consulting. Such compensation levels are uncommon and usually require a combination of expertise, strategic position, and company size.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Elgin, IL? The most popular types of Data Engineering jobs in Elgin, IL are:
What job categories do people searching Data Engineering jobs in Elgin, IL look for? The top searched job categories for Data Engineering jobs in Elgin, IL are:
What cities near Elgin, IL are hiring for Data Engineering jobs? Cities near Elgin, IL with the most Data Engineering job openings:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Elgin, IL as of June 2026, with employment types broken down into 17% Internship, 66% Full Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $163,122 per year, or $78.4 per hour.
data engineering

data engineering

Diverse Lynx

Naperville, IL

Other

Posted 26 days ago

Job description

Data Engineer

Role Descriptions: 10 years of experience in data engineering or ETL development. Strong hands-on experience with Talend (ETL), IBM DataStage, Python (pandas| PySpark| API integrations), Big Data technologies (Spark| Hadoop| Hive| Kafka). Expertise in data engineering design patterns and best practices. Strong experience with SQL and NoSQL databases. Familiarity with orchestration tools (Airflow| ControlM| Talend scheduler).

Essential Skills: 10 years of experience in data engineering or ETL development. Strong hands-on experience with Talend (ETL), IBM DataStage, Python (pandas| PySpark| API integrations), Big Data technologies (Spark| Hadoop| Hive| Kafka). Expertise in data engineering design patterns and best practices. Strong experience with SQL and NoSQL databases. Familiarity with orchestration tools (Airflow| ControlM| Talend scheduler).

Desirable Skills: Digital: Big Data and Hadoop Ecosystems~Digital: Python for Data Science

IBM Data Management Experience Required: 6-8 Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

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About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

Social media

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