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Data Developer Jobs in Illinois (NOW HIRING)

Tredence Analytic

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Our capabilities range from Data Engineering, Visualization, Data Management to Advanced analytics, Big Data, Cloud and Machine Learning. Our uniqueness is in bringing the right mix of technology and ...

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 ...

Comprehensive Resources Inc.

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Role : Data Engineer Location : Chicago, IL (3days onsite) Experience : Min. 10+ Years Client ... Mandatory Skills :- * 10+ years of experience as a Database Developer or similar role. * Strong ...

ADDSOURCE

Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Senior Data Engineer Location: Chicago, IL Work Model: Hybrid 3 Days Onsite per Week Experience: 10+ Years We are looking for a highly skilled and hands-on Data Engineer with strong expertise in ...

New

University of Utah

Data Engineers

Campus, IL · On-site +1

$111K - $134K/yr

Details Open Date 05/21/2026 Requisition Number PRN45144B Job Title Data Engineers Working Title Data Engineer III Career Progression Track P00 Track Level P3 - Career FLSA Code Computer Employee ...

University of Utah

Data Engineers

Campus, IL · On-site +1

$111K - $134K/yr

Details Open Date 05/21/2026 Requisition Number PRN45144B Job Title Data Engineers Working Title Data Engineer III Career Progression Track P00 Track Level P3 - Career FLSA Code Computer Employee ...

University of Utah

Data Engineers

Campus, IL · On-site +1

$111K - $134K/yr

Details Open Date 05/21/2026 Requisition Number PRN45144B Job Title Data Engineers Working Title Data Engineer III Career Progression Track P00 Track Level P3 - Career FLSA Code Computer Employee ...

Rethink

Senior Database Developer

Chicago, IL · On-site +1

Support schema design, data modeling, and database changes for new features * Monitor and ... Engineering teams rely on you for strong SQL expertise and execution Benefits: * Generous health ...

Collabera Technologies

Data Engineer

Chicago, IL · Hybrid

$60 - $65/hr

Data Engineer Contract: Chicago, Illinois, US Salary Range: 60.00 - 64.00 | Per Hour Job Code: 369312 End Date: 2026-06-18 Days Left: 4 days, 3 hours left Apply Job Title: Senior Data Engineer ...

Diverse Lynx

Data Engineer

Chicago, IL

$118K - $141K/yr

Data Engineer We are looking for a skilled Data Engineer to design and build scalable data solutions using PySpark and AWS services. The ideal candidate will have hands-on experience in building ...

Isys Technologies

IL · On-site

$99K - $105K/yr

Knowledge of data security, access controls, and compliance frameworks (DoD, DISA, RMF, STIGs). * Experience with CI/CD pipelines, containerized pipelines, version control (Git, Bitbucket), and DevOp ...

New

1872 Consulting

Data Engineer

Chicago, IL

$118K - $141K/yr

AWS Developer Associate, Certified Big Data Specialty, Tableau Desktop Certified Associate, Certified Associate in Python programing (PCAP), Apache Spark certification will be given preference. * 1-2 ...

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All JobsData Developer JobsData Developer Jobs in Illinois

Data Developer information

See Illinois salary details

$25

$51

$78

How much do data developer jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for data developer in Illinois is $51.47, according to ZipRecruiter salary data. Most workers in this role earn between $42.16 and $58.22 per hour, depending on experience, location, and employer.

How does a Data Developer typically collaborate with data analysts and data engineers within a project team?

Data Developers frequently work alongside data analysts and data engineers to design, build, and maintain robust data pipelines and databases. While data engineers often focus on the infrastructure and large-scale data architecture, Data Developers bridge the gap by implementing data models, optimizing queries, and ensuring data is accessible and reliable for analysis. Regular collaboration includes aligning on data requirements, troubleshooting data flow issues, and refining processes to support business intelligence and reporting needs. This teamwork ensures that data assets are accurate, up-to-date, and tailored for various stakeholder needs.

What are Data Developers?

Data Developers are professionals who design, build, and maintain systems that collect, store, process, and analyze large volumes of data. They work with databases, data pipelines, and various programming languages to ensure that an organization’s data is accessible, reliable, and efficiently managed. Data Developers often collaborate with data analysts, data scientists, and other IT staff to support business intelligence and data-driven decision-making. Their responsibilities may include writing complex SQL queries, developing ETL (extract, transform, load) processes, and optimizing database performance.

What are the key skills and qualifications needed to thrive as a Data Developer, and why are they important?

To thrive as a Data Developer, you need strong programming skills (such as SQL, Python, or Java), a deep understanding of database design, and experience with data modeling, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL Server, Oracle, ETL platforms, and cloud data services, as well as certifications in database technologies, are commonly required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with stakeholders and translating data needs into solutions. These competencies ensure efficient data management, support business intelligence efforts, and enable the delivery of reliable, scalable data systems.

What jobs pay 500,000 a year in the US?

In the US, high-paying roles such as senior data developers, data architects, and chief data officers can earn around or above $500,000 annually, especially with extensive experience, advanced skills in data management and analytics, and leadership responsibilities. These positions often require advanced degrees, certifications, and a strong track record in managing large data projects or teams.

What is the difference between Data Developer vs Data Analyst?

AspectData DeveloperData Analyst
Primary RoleBuilds and maintains data pipelines, databases, and data infrastructureAnalyzes data to generate reports, insights, and support decision-making
Skills & CertificationsSQL, ETL tools, programming (Python, Java), database managementSQL, Excel, data visualization tools, statistical analysis
Work EnvironmentData engineering teams, IT departments, software development environmentsBusiness units, analytics teams, management
Industry UsageTechnology, finance, healthcare, any data-driven industryMarketing, finance, retail, business intelligence

While Data Developers focus on creating and maintaining the data infrastructure, Data Analysts interpret data to provide actionable insights. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What does a data developer do?

A data developer designs, builds, and maintains data systems and pipelines to collect, store, and process large amounts of data. They often work with programming languages like SQL and Python, and use tools such as data warehouses and ETL processes to ensure data is accessible and reliable for analysis and decision-making.

What jobs in the US pay 300,000 a year?

For a Data Developer, earning $300,000 annually typically requires extensive experience, advanced skills in programming, data architecture, and often leadership responsibilities. Such compensation is more common in senior roles within large organizations, financial firms, or tech companies, especially for those with specialized expertise or managerial duties.

What jobs pay 200,000 a year in the USA?

Data Developers with advanced skills in programming, data management, and analytics can earn around $200,000 annually, especially with experience, certifications, and working in high-demand industries. Senior roles often require expertise in tools like SQL, Python, or cloud platforms and may involve leadership or specialized project responsibilities.
What are popular job titles related to Data Developer jobs in Illinois? For Data Developer jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Data Developer jobs in Illinois look for? The top searched job categories for Data Developer jobs in Illinois are:
What are popular job titles related to Data Developer jobs in IL? For Data Developer jobs in IL, the most frequently searched job titles are:
Data Developer jobs near you
Infographic showing various Data Developer job openings in Illinois as of June 2026, with employment types broken down into 1% Internship, 3% As Needed, 24% Full Time, 59% Part Time, 12% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $107,066 per year, or $51.5 per hour.

Data Engineer

Tredence Analytic

Chicago, IL • On-site

$118K - $141K/yr

Full-time

Posted 27 days ago

Job description

Company Description
Tredence is a global analytics services and solutions company. Our capabilities range from Data Engineering, Visualization, Data Management to Advanced analytics, Big Data, Cloud and Machine Learning. Our uniqueness is in bringing the right mix of technology and business analytics to create sustainable white-box solutions that are transitioned to our clients at the end of the engagement. We do this cost effectively using a global execution model leveraging our clients' existing technology and data assets. We also come in with strong IP and pre-built analytics solutions in data mining, business intelligence and Big Data.
Job Description
We are searching for an accountable, multitalented Data Engineer to facilitate the operations of our Data Scientists. The ideal candidate will be responsible for employing machine learning techniques to create and sustain structures that allow for the analysis of data, while remaining familiar with dominant programming and deployment strategies in the field. During various aspects of this process, you should collaborate with coworkers to ensure that your approach meets the needs of each project.
To ensure success as a Data Engineer, you should demonstrate flexibility, creativity, and the capacity to receive and utilize constructive criticism. A formidable Data Engineer will demonstrate unsatiated curiosity and outstanding interpersonal skills.
Essential Responsibilities
  • Design, develop, document, and test advanced data systems that bring together data from disparate sources, making it available to data scientists, analysts, and other users using scripting and/or programming languages (Python, Java, C, etc)
  • Evaluate structured and unstructured datasets utilizing statistics, data mining, and predictive analytics to gain additional business insights
  • Design, develop, and implement data processing pipelines at scale
  • Present programming documentation and design to team members and convey complex information in a clear and concise manner.
  • Extract data from multiple sources, integrate disparate data into a common data model, and integrate data into a target database, application, or file using efficient programming processes.
  • Write and refine code to ensure performance and reliability of data extraction and processing.
  • Communicate with all levels of stakeholders as appropriate, including executives, data modelers, application developers, business users, and customers
  • Participate in requirements gathering sessions with business and technical staff to distill technical requirements from business requests.
  • Partner with clients to fully understand business philosophy and IT Strategy; recommend process improvements to increase efficiency and reliability in ETL development.
  • Collaborate with Quality Assurance resources to debug code and ensure the timely delivery of products.
  • Some of our technologies might include: HDFS, Cassandra, Spark, Java, Scala, Informatica, SQL Server, Oracle, Ab Initio, Kafka.

Qualifications
  • Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field.
  • At least 3 years of proven experience as a Data Engineer.
  • Expert proficiency in Python, C++, Java, R, and SQL.
  • Familiarity with Hadoop or suitable equivalent.
  • Excellent analytical and problem-solving skills.
  • A knack for independent and group work.
  • Scrupulous approach to duties.
  • Capacity to successfully manage a pipeline of duties with minimal supervision.

Additional Information
All your information will be kept confidential according to EEO guidelines.
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