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Data Engineer Contract Jobs in Chicago, IL (NOW HIRING)

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Contract Data Engineer with expertise in ETL development, Python, SQL, and cloud-based data processing, responsible for building and managing scalable data pipelines using Databricks, AWS, and modern ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Minneapolis, MN/Chicago, IL Contract About this role: We are seeking an experienced Data Engineer with strong expertise in Python, PySpark, and big data technologies to design, build, and maintain ...

New

Controls Engineer - Contract

Hammond, IN

$80K - $104K/yr

CMM Programmer - Contract DISHER is seeking an experienced Controls Engineer for our customer in ... If you would like more information about how your data is processed, please contact us. apply for ...

Controls Engineer - Contract

Hammond, IN · On-site

$80K - $104K/yr

CMM Programmer - Contract DISHER is seeking an experienced Controls Engineer for our customer in ... If you would like more information about how your data is processed, please contact us.

This is a 6-month contract role for an early-career engineer who is ready to work across the stack ... Support and collaborate with other engineers, data scientists, and product managers * Review and ...

This is a 6-month contract role for an early-career engineer who is ready to work across the stack ... Support and collaborate with other engineers, data scientists, and product managers * Review and ...

This is a 6-month contract role for an early-career engineer who is ready to work across the stack ... Support and collaborate with other engineers, data scientists, and product managers * Review and ...

GCP Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

GCP Data Engineer Duration: 6 months Contract to hire Location: Chicago is the preferred location, but open to candidates from anywhere in the U.S. Role Overview We are seeking a highly skilled GCP ...

Lead Data Engineer

Chicago, IL · On-site

$75 - $85/hr

The engineer will partner across Product, Data Science, Security, Privacy, and Platform Engineering ... Define data handling standards and document trust boundaries, data contracts, lineage, and ...

Lead Data Engineer

Chicago, IL · On-site

$75 - $85/hr

The engineer will partner across Product, Data Science, Security, Privacy, and Platform Engineering ... Define data handling standards and document trust boundaries, data contracts, lineage, and ...

Sr. Data Engineer

Chicago, IL · 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 ...

Lead Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

As a Lead Data Engineer, you will drive the design and evolution of the company\'s data platform ... Contract or B2B arrangement Our values We are a company that seeks the best for both our employees ...

Python, AWS, Vue Developer

Chicago, IL · On-site

$51.75 - $71.25/hr

Data Engineer (Contract) Location: Remote Duration: 6-Month Contract * *US CITIZENS ONLYThis division supports government projects* * True PYTHON Developer who also does ETL and Data Engineering

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

As a Senior Data Engineer, you will shape data products and collaborate with teams to design and ... Take the uncertainty out of smart contract deployments. Build confidence from the command line.

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Showing results 1-20

Data Engineer Contract information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do data engineer contract jobs pay per year?

As of Jul 29, 2026, the average yearly pay for data engineer contract in Chicago, IL is $133,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $141,600.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a Data Engineer on a contract basis?

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 is a Data Engineer Contract job?

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 most commonly searched types of Data Engineer jobs in Chicago, IL? The most popular types of Data Engineer jobs in Chicago, IL are:
What are popular job titles related to Data Engineer Contract jobs in Chicago, IL? For Data Engineer Contract jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Data Engineer Contract jobs in Chicago, IL look for? The top searched job categories for Data Engineer Contract jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Data Engineer Contract jobs? Cities near Chicago, IL with the most Data Engineer Contract job openings:
Infographic showing various Data Engineer Contract job openings in Chicago, IL as of July 2026, with employment types broken down into 1% As Needed, 65% Full Time, 19% Part Time, 1% Temporary, and 14% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $133,597 per year, or $64.2 per hour.

$118K - $141K/yr

Full-time

Posted 8 days ago


Job description

Position: Data Engineer
Location: Chicago, IL (3 days office)
Employment: Contract
Job Description:
Data Engineer with expertise in ETL development, Python, SQL, and cloud-based data processing, responsible for building and managing scalable data pipelines using Databricks, AWS, and modern DevOps practices.
Responsibilities: -
  • Perform Develop and manage ETL processes using Python, PySpark, and SQL.
  • Work with Databricks for data processing.
  • Utilize AWS services like S3, CloudWatch, IAM, SNS, and Lambda.
  • Familiarity with Terraform for infrastructure management.
  • Work with Angular for front-end integration.
  • Collaborate on version control using Git and deployment using Octopus and Azure DevOps.
  • Support CI/CD processes using Git, Octopus, and Azure DevOps.
  • Work within cloud-based data engineering environments and data processing frameworks.

Mandatory skills
  • Strong ETL
  • Python
  • SQL
  • PySpark
  • Angular for front-end development
  • Experience with AWS services (S3, CloudWatch, IAM, SNS, Lambda)
  • Terraform knowledge
  • Experience with Git, Octopus, and Azure DevOps for CI/CD