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Data Engineer Contract Jobs in Illinois (NOW HIRING)

Sr. Data Engineer

Chicago, IL ยท On-site

$118K - $141K/yr

Requirement - Sr. Data Engineer Location- Chicago, IL (Hybrid- 03 days onsite and 02 days remote) Contract W2 PURPOSE : The Senior Data Engineer will design, code, test, and analyze software programs ...

Senior Data Engineer

Normal, IL ยท On-site

$103K - $140K/yr

As a Sr. Data Engineer, you will help build and operate the data foundation that powers analytics ... Experience with data contracts and schema governance. * Experience building semantic layers or ...

Senior Data Engineer

Naperville, IL ยท On-site

$105K - $142K/yr

Kforce has a client that is seeking a Senior Data Engineer in Naperville, IL. Key Responsibilities ... Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is ...

Data Engineer L2

Lincolnshire, IL ยท On-site

$77.37/hr

Lincolnshire, IL, United States (On-site) Contract (4 months 15 days) Published 18 days ago pyspark SQL GCP databricks PowerBI Role Overview We are seeking a highly skilled Onshore Data Engineering ...

Data Engineer Software Developer

Shiloh, IL ยท On-site

$106K - $128K/yr

The Leidos Digital Modernization Group seeks a Data Engineer Software Developer for the Global Solution Management - Operations II (GSM-O II) contract, under the Global Automations & Intelligent ...

Data Engineer Software Developer

Shiloh, IL ยท On-site

$106K - $128K/yr

The Leidos Digital Modernization Group seeks a Data Engineer Software Developer for the Global Solution Management - Operations II (GSM-O II) contract, under the Global Automations & Intelligent ...

Senior Data Engineer

Chicago, IL ยท On-site

$140 - $190/hr

Who We Want As a Senior Data Engineer at Arrive Logistics, you will build and own the data ... Familiarity with CI/CD, microservice architecture, domain driven design, data contracts * Solid ...

Who We Want As a Senior Data Engineer at Arrive Logistics, you will build and own the data ... Familiarity with CI/CD, microservice architecture, domain driven design, data contracts * Solid ...

Senior Data Engineer

Chicago, IL ยท On-site

$150K - $187K/yr

Who We Want As a Senior Data Engineer at Arrive Logistics, you will build and own the data ... Familiarity with CI/CD, microservice architecture, domain driven design, data contracts * Solid ...

Senior Data Engineer

Chicago, IL ยท On-site

$150 - $187/hr

Who We Want As a Senior Data Engineer at Arrive Logistics, you will build and own the data ... Familiarity with CI/CD, microservice architecture, domain driven design, data contracts * Solid ...

Lead Data Engineer

Virginia, IL ยท On-site

$150 - $165/hr

We are seeking a senior Lead Data Engineer as a Key Personnel for a bid opportunity to lead data ... This position is CONTINGENT UPON CONTRACT AWARD. Candidates selected for consideration must be ...

Sr. Network Engineer

Chicago, IL ยท On-site

$107K - $146K/yr

Senior Network Engineer (Contract): A mission-driven national organization dedicated to advancing ... Ability to troubleshoot complex network and data communication issues * Comfortable performing ...

... contracts, and solution briefs Rapid Prototyping & Solution Delivery Design and deliver working ... Data Engineering Build and deploy AI-powered features and pipelines that automate workflows ...

... contracts, and solution briefs Rapid Prototyping & Solution Delivery Design and deliver working ... Data Engineering Build and deploy AI-powered features and pipelines that automate workflows ...

Senior Data Engineer

Chicago, IL ยท On-site

$109K - $148K/yr

... contracts, and solution briefs Rapid Prototyping & Solution Delivery Design and deliver working ... Data Engineering Build and deploy AI-powered features and pipelines that automate workflows ...

Showing results 21-40

Data Engineer Contract information

See Illinois salary details

$43.1K

$125.7K

$172K

How much do data engineer contract jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data engineer contract in Illinois is $125,698.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $133,200.00 per year, depending on experience, location, and employer.

What is a data engineer contract?

A Data Engineer Contract job is a temporary or project-based role where a data engineer is hired for a specific duration to design, build, and maintain data pipelines and infrastructure. Contract data engineers often work with big data technologies, ETL processes, and cloud platforms to ensure data is efficiently processed and accessible. These roles can be short-term (a few months) or long-term (a year or more), depending on the project's needs. Contractors may work independently or as part of a larger data team, and they are typically paid hourly or per project rather than receiving a fixed salary and benefits like full-time employees.

What are the typical daily responsibilities of a data engineer contract?

As a Data Engineer contractor, your day-to-day tasks often include designing, building, and maintaining data pipelines, implementing ETL processes, and preparing datasets for analytics or machine learning teams. You may be asked to collaborate with data scientists, analysts, and other engineers to understand data requirements and resolve technical issues. Contractors also frequently assess data quality, optimize performance, and document their work for seamless team integration. The role is fast-paced and may require you to quickly adapt to new projects or technologies, making it ideal for those who enjoy dynamic, project-based environments.

What are the key skills and qualifications needed to thrive in the data engineer contract position, and why are they important?

To thrive as a Data Engineer Contract, you need expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or SQL, often supported by a degree in computer science or related field. Familiarity with big data platforms like Hadoop or Spark, experience with cloud services (AWS, GCP, or Azure), and certifications in relevant technologies are highly valued. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills. These abilities ensure data engineers can efficiently design scalable pipelines, troubleshoot issues, and collaborate across teams to support data-driven decision-making.

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 are popular job titles related to Data Engineer Contract jobs in Illinois?

For Data Engineer Contract jobs in Illinois, the most frequently searched job titles are:

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

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

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

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

Infographic showing various Data Engineer Contract 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 $125,698 per year, or $60.4 per hour.

Sr. Data Engineer

1 point system

Chicago, IL โ€ข On-site

$118K - $141K/yr

Contractor

Re-posted 7 days ago


Job description

Requirement – Sr. Data Engineer

Location- Chicago, IL (Hybrid- 03 days onsite and 02 days remote)

Contract W2

PURPOSE:

The Senior Data Engineer will design, code, test, and analyze software programs and applications. This includes researching, designing, documenting, and modifying software specifications throughout the production lifecycle. This role will also analyze and amend software errors in a timely and accurate fashion and provide status reports where required. The position responsibilities outlined below are not all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.

POSITION RESPONSIBILITIES:

Work with Product team to determine requirements and propose approaches to address users' needs.

• Analyze requirements to determine approach/proposed solution.

• Design and Build Solutions using relevant programming language.

• Thoroughly test solutions using relevant approaches and tools

• Conduct research into software-related issues and products

• Bring out-of-box thinking and solutions to address challenging issues

• Effectively prioritize and execute tasks in a fast-paced environment

• Work both independently and in a team-oriented, collaborative environment

• Flexible and adaptable to learning and understanding new technologies

• Highly self-motivated and directed

• Demonstrate a commitment to client core values

• Exercise independent judgment in methods and techniques for obtaining results.

• Work in an agile/scrum environment.

EXPERIENCE AND QUALIFICATIONS:

Required Skills - Experience and comfort solving problems in an ambiguous environment where there is constant change. Have the tenacity to thrive in a dynamic and fast-paced environment, inspire change, and collaborate with a variety of individuals and organizational partners

• Experience designing and building scalable and robust data pipelines to enable data-driven decisions for the business

• Very good understanding of the full software development life cycle

• Very good understanding of Data warehousing concepts and approaches

• Experience in building Data pipelines and ETL approaches using Informatica IICS, Alteryx or any leading pipeline tool.

• Experience in building high-volume data workflows in a cloud environment

• Experience in building Data warehouse and Business intelligence projects

• Good Experience using Snowflake environment.

• Good Experience using streaming data using Kafka.

• Experience in data cleansing, data validation and data wrangling.

• Hands-on experience in AWS cloud and AWS native technologies such as Glue, Lambda, Kinesis, Lake Formation, S3, Redshift

• Experience using Spark EMR, RDS, EC2, Athena, API capabilities, CloudWatch, CloudTrail is a plus

• Experience with Business Intelligence tools like Tableau, Cognos, ThoughtSpot, etc is a plus.

• Experience in one of the scripting languages: Python or Unix Scripting

• Proficient in SQL, PL/SQL, relational databases (RDBMS), database concepts and dimensional modeling

• Strong verbal and written communication skills

• Demonstrate analytical and problem-solving skills, particularly those that apply to Data Warehouse and Big Data environments.

• Resources should be able work along with On-site hours to participate in Req/Design discussions.

EDUCATION:

Bachelors degree in Engineering, Computer Science, Statistics, Economics, Mathematics, Finance, or a related quantitative field.

5 to 8+ years of experience within the field of data engineering or related technical work including business intelligence, analytics.