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Senior Data Engineer Jobs in Illinois (NOW HIRING)

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

Senior Data Engineer Location: Chicago, IL or Minneapolis, Minn. 3-4 days per week onsite Length: 6-10 months Must haves: * Cloud Solution Exposure: * Strong exposure to cloud-based solution design ...

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

As a senior member of the data engineering team, you will own complex data solutions, drive best practices, and mentor junior engineers while ensuring our data platform is scalable, governed, and ...

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

As a senior member of the data engineering team, you will own complex data solutions, drive best practices, and mentor junior engineers while ensuring our data platform is scalable, governed, and ...

Sr. Data Engineer

Addison, IL · On-site

$130 - $145/hr

Job SummaryThe Senior Data Engineer will serve in a senior role within the Data Engineering organization and will be responsible for supporting and maturing the data platform. This is a high impact ...

Sr. Data Engineer

Elmhurst, IL · On-site

$114K - $136K/yr

Job Summary The Senior Data Engineer will serve in a senior role within the Data Engineering organization and will be responsible for supporting and maturing the data platform. This is a high impact ...

Sr. Data Engineer

Elmhurst, IL · On-site

$114K - $136K/yr

Job Summary The Senior Data Engineer will serve in a senior role within the Data Engineering organization and will be responsible for supporting and maturing the data platform. This is a high impact ...

Senior Data Engineer

Normal, IL · On-site

$103K - $140K/yr

As a Sr. Data Engineer, you will help build and operate the data foundation that powers analytics across programs and sites. You will design and maintain scalable ingestion pipelines, develop well ...

Sr. Data Engineer

Addison, IL · On-site

$130 - $145/hr

Job Summary The Senior Data Engineer will serve in a senior role within the Data Engineering organization and will be responsible for supporting and maturing the data platform. This is a high impact ...

Senior Data Engineer

Chicago, IL · On-site

$140K - $170K/yr

This is a senior software engineering role at its core, with a specialization in data: you are expected to write and ship production code in C#/.NET and operate to the same engineering standards as ...

Senior Data Engineer

Chicago, IL · On-site

$140 - $170/hr

This is a senior software engineering role at its core, with a specialization in data: you are expected to write and ship production code in C#/.NET and operate to the same engineering standards as ...

Senior Data Engineer

Naperville, IL · On-site

$105K - $142K/yr

Kforce has a client that is seeking a Senior Data Engineer in Naperville, IL. Key Responsibilities: * Design and implement complex data solutions that are scalable, maintainable, secure, and well ...

Senior Data Engineer

Chicago, IL · On-site

$65 - $80/hr

We are seeking a hands-on Senior Data Engineer to support Phase 0 data discovery, profiling, mapping, and engineering handoff activities for a large-scale customer data and marketing transformation ...

Senior Data Engineer

Chicago, IL · Hybrid

$109K - $148K/yr

The Senior Data Engineer will design, build, and maintain the scalable data pipelines, models, and infrastructure that power analytics, business intelligence, and machinelearning products across the ...

Senior Data Engineer

Peoria, IL · On-site

$112.71 - $183.14/hr

As a Senior Data Engineer on the Helios Data Engineering team, you will be responsible for developing Python data pipelines that build business data objects used to support applications. **What You ...

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Senior Data Engineer Job Location: Chicago, IL Job Type: Contract * Lead and manage end to end testing efforts for Salesforce Marketing Community Commerce B2BB2C applications ensuring high quality ...

Senior Data Engineer

Chicago, IL · On-site

$140 - $190/hr

Who We Want As a Senior Data Engineer at Arrive Logistics, you will build and own the data ecosystem that powers our analytics, business intelligence, and data science initiatives. You'll work ...

Senior Data Engineer

Chicago, IL · On-site

$150K - $187K/yr

Who We Want As a Senior Data Engineer at Arrive Logistics, you will build and own the data ecosystem that powers our analytics, business intelligence, and data science initiatives. You'll work ...

Senior Data Engineer

Chicago, IL · On-site

$150 - $187/hr

Who We Want As a Senior Data Engineer at Arrive Logistics, you will build and own the data ecosystem that powers our analytics, business intelligence, and data science initiatives. You'll work ...

Senior Data Engineer

Chicago, IL · On-site

$150K - $187K/yr

Who We Want As a Senior Data Engineer at Arrive Logistics, you will build and own the data ecosystem that powers our analytics, business intelligence, and data science initiatives. You'll work ...

Showing results 21-40

Senior Data Engineer information

See Illinois salary details

$78.5K

$122.4K

$169.6K

How much do senior data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for senior data engineer in Illinois is $122,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,700.00 and $139,500.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

What are the key skills and qualifications needed to thrive as a senior data engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

What are the most commonly searched types of Data Engineer jobs in Illinois?

The most popular types of Data Engineer jobs in Illinois are:

What job categories do people searching Senior Data Engineer jobs in Illinois look for?

The top searched job categories for Senior Data Engineer jobs in Illinois are:

What cities in Illinois are hiring for Senior Data Engineer jobs?

Cities in Illinois with the most Senior Data Engineer job openings:

What are popular job titles related to Senior Data Engineer jobs in IL?

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

Infographic showing various Senior Data Engineer job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 29% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $122,415 per year, or $58.9 per hour.

Senior Data Engineer

Scadea

Chicago, IL

$109K - $148K/yr

Full-time

Re-posted yesterday


Job description

Job Title: Senior Data Engineer
Location: Chicago, IL or Minneapolis, Minn. 3-4 days per week onsite
Length: 6-10 months
 
Must haves: 
 
• Cloud Solution Exposure:
• Strong exposure to cloud-based solution design and implementation, particularly within the Azure ecosystem, Databricks and ADF
• Large-Scale Data Architecture & Design:
• Experience in designing and handling high-volume data systems, including scalable data architectures for enterprise use cases. Understanding of Kafka platform
• Data Migration Programs:
• Proven track record in executing data migration initiatives involving large datasets, ensuring data accuracy, consistency, and minimal disruption.
• Data Platforms & Technologies:
• Hands-on experience with modern data platforms including Data Lakes and NoSQL databases such as MongoDB.
• Azure Ecosystem Expertise:
• Familiarity with Azure data and analytics services, supporting end-to-end data processing, storage, and integration workflows.
• AI Enablement:
• Exposure to AI-enabled solutions, incorporating intelligent capabilities into data platforms and modernization initiatives.