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

Data Engineer

Chicago, IL ยท 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 ...

GCP Data Engineer

Chicago, IL ยท 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 ...

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 ...

Lead Data Engineer

Chicago, IL ยท On-site

$75 - $85/hr

Collaborate with Product, Data Science, Security, Privacy, and Platform Engineering to deliver ... Define data handling standards and document trust boundaries, data contracts, lineage, and ...

Lead Data Engineer

Chicago, IL ยท On-site

$75 - $85/hr

Collaborate with Product, Data Science, Security, Privacy, and Platform Engineering to deliver ... Define data handling standards and document trust boundaries, data contracts, lineage, and ...

The Data Engineering team at JLL sits at the intersection of technology and business impact ... contracts, and solution briefs Rapid Prototyping & Solution Delivery Design and deliver working ...

The Data Engineering team at JLL sits at the intersection of technology and business impact ... contracts, and solution briefs Rapid Prototyping & Solution Delivery Design and deliver working ...

As an individual contributor of the Payer Contract Analytics team, you will greatly influence ... data. * Fluency in multiple programming languages and statistical analysis tools including but not ...

As an individual contributor of the Payer Contract Analytics team, you will greatly influence ... data. * Fluency in multiple programming languages and statistical analysis tools including but not ...

Senior Data Engineer

Westmont, IL ยท On-site

$106K - $144K/yr

The Data Engineering team at JLL sits at the intersection of technology and business impact ... contracts, and solution briefs Rapid Prototyping & Solution Delivery Design and deliver working ...

Manager, Payer Contract Analytics

Mettawa, IL ยท On-site

$79K - $95K/yr

As an individual contributor of the Payer Contract Analytics team, you will greatly influence ... data. * Fluency in multiple programming languages and statistical analysis tools including but not ...

Manager, Payer Contract Analytics

Mettawa, IL ยท On-site

$79K - $95K/yr

As an individual contributor of the Payer Contract Analytics team, you will greatly influence ... data. * Fluency in multiple programming languages and statistical analysis tools including but not ...

Senior Data Engineer

Chicago, IL ยท On-site

$109K - $148K/yr

The Data Engineering team at JLL sits at the intersection of technology and business impact ... contracts, and solution briefs Rapid Prototyping & Solution Delivery Design and deliver working ...

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Showing results 1-20

Contract Data Engineering information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do contract data engineering jobs pay per year?

As of Aug 4, 2026, the average yearly pay for contract data engineering 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 is the difference between Contract Data Engineering vs Data Analyst?

AspectContract Data EngineeringData Analyst
Required SkillsSQL, Python, ETL, cloud platforms, data pipeline developmentSQL, Excel, data visualization, reporting tools
Work EnvironmentProject-based, technical teams, cloud or on-premises infrastructureBusiness units, reporting teams, often in office or remote
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Contract Data Engineers focus on building and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. Data Analysts interpret data, create reports, and visualize insights, often using different tools. While both roles work with data, Contract Data Engineering is more technical and infrastructure-oriented, whereas Data Analysts focus on data interpretation and business insights.

What is contract data engineering?

Contract data engineering refers to hiring data engineers on a temporary or project basis, rather than as full-time employees. Contract data engineers are responsible for designing, building, and maintaining data pipelines, databases, and other infrastructure to support data analytics and business needs. Companies often hire contract data engineers to handle specific projects, scale up teams quickly, or bring in specialized skills for a limited time. This arrangement offers flexibility for both the company and the engineer, and is common in industries with fluctuating data workloads or short-term projects.

What are the key skills and qualifications needed to thrive as a contract data engineer?

To thrive as a Contract Data Engineer, you need strong proficiency in data modeling, ETL processes, and programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services (AWS, Azure, GCP), and relevant certifications like Google Cloud Professional Data Engineer are typically required. Excellent problem-solving, adaptability, and effective communication are crucial soft skills in this role. These competencies enable efficient project delivery, seamless collaboration with stakeholders, and the ability to quickly adapt to new technical environments and client requirements.

What are some common challenges faced by contract data engineers and how can they be addressed?

Contract data engineers often face the challenge of quickly familiarizing themselves with a company's existing data infrastructure and processes. Since contracts are typically short-term, there is limited time to onboard, understand unique data pipelines, and build relationships with stakeholders. To address this, successful contract data engineers proactively communicate with team members, document their work thoroughly, and leverage their prior experience with a variety of tools and platforms. Flexibility and strong problem-solving skills are essential for adapting to new environments and delivering results efficiently.
What are the most commonly searched types of Data Engineering jobs in Chicago, IL? The most popular types of Data Engineering jobs in Chicago, IL are:
What are popular job titles related to Contract Data Engineering jobs in Chicago, IL? For Contract Data Engineering jobs in Chicago, IL, the most frequently searched job titles are:
What cities near Chicago, IL are hiring for Contract Data Engineering jobs? Cities near Chicago, IL with the most Contract Data Engineering job openings:
Infographic showing various Contract Data Engineering job openings in Chicago, IL as of July 2026, with employment types broken down into 43% Full Time, 9% Part Time, and 48% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $133,627 per year, or $64.2 per hour.

$118K - $141K/yr

Full-time

Posted 13 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