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Part Time Data Engineering Jobs in Chicago, IL (NOW HIRING)

Time Commitment: ~100 hours per month (Flexible schedule / Part-time) * Experience Required ... Data Transfer: Familiarity with professional file transfer software and secure data systems.

Engineer Site Support

Woodridge, IL · On-site

$40 - $55/hr

Time Commitment: ~100 hours per month (Flexible schedule / Part-time) * Experience Required ... Data Transfer: Familiarity with professional file transfer software and secure data systems.

Engineer Site Support

Woodridge, IL · On-site

$40 - $55/hr

Time Commitment: ~100 hours per month (Flexible schedule / Part-time) * Experience Required ... Data Transfer: Familiarity with professional file transfer software and secure data systems.

Civil Engineer in Training

Chicago, IL · On-site

$74K - $104K/yr

... engineering disciplines and professionals in the coordination of the project. * Perform data ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Software Engineer

Chicago, IL · Remote

$45 - $55/hr

... data Ability to write basic database queries Strong ability to define problems, collect data ... Part-time Pay: $45.00 - $55.00 per hour Experience: relevant: 1-3 years (Required) Work ...

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Showing results 1-20

Part Time Data Engineering information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do part time data engineering jobs pay per year?

As of Jul 20, 2026, the average yearly pay for part time 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 are the key skills and qualifications needed to thrive as a Part Time Data Engineer, and why are they important?

To thrive as a Part Time Data Engineer, you need proficiency in programming languages like Python or SQL, knowledge of database management, and a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, and platforms such as AWS, Google Cloud, or Apache Spark is typically required. Strong problem-solving abilities, attention to detail, and effective communication help individuals excel in this flexible role. These skills ensure accurate data pipelines, efficient data processing, and successful collaboration with cross-functional teams, even in a part-time capacity.

What is a part-time data engineering job?

A part-time data engineering job involves working fewer hours than a full-time position, typically focusing on building and managing data pipelines, organizing data storage, and ensuring data quality for organizations. Part-time data engineers may work on specific projects or provide support to larger teams, often with flexible schedules. They use programming languages and tools like Python, SQL, and cloud platforms to move, transform, and optimize data. This role is ideal for those seeking work-life balance, students, or professionals looking to gain experience or supplement their income.

How does a part-time data engineering role typically balance project responsibilities with limited working hours?

In a part-time data engineering position, tasks are often scoped to fit within your available hours, focusing on specific projects or maintenance work rather than broader, ongoing initiatives. You’ll likely collaborate closely with full-time engineers to ensure hand-offs are smooth and that you’re aligned on priorities. Clear communication and proactive time management are essential, as you may need to coordinate across teams or adjust your workload to meet deadlines. Many organizations also provide flexible scheduling and clear documentation practices to help part-time team members stay integrated and productive.

What is the difference between Part Time Data Engineering vs Part Time Data Analysis?

AspectPart Time Data EngineeringPart Time Data Analysis
Required CredentialsTypically requires knowledge of SQL, Python, ETL tools, and cloud platformsRequires skills in SQL, Excel, data visualization tools, and basic statistical knowledge
Work EnvironmentOften involves building data pipelines, managing databases, and working with data infrastructureFocuses on interpreting data, creating reports, and providing insights
Employer & Industry UsageUsed in tech companies, finance, and e-commerce for data infrastructure rolesCommon in marketing, consulting, and business intelligence roles across industries

Part Time Data Engineering involves developing and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. In contrast, Part Time Data Analysis centers on interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but differ in technical complexity and focus.

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:
Infographic showing various Part Time Data Engineering job openings in Chicago, IL as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $133,627 per year, or $64.2 per hour.

Engineer Site Support

icorp

Woodridge, IL

$40 - $55/hr

Part-time

Re-posted 9 days ago


Job description

We are seeking a skilled and autonomous Systems & Infrastructure Engineer to join our team for a long-term freelance collaboration. In this role, you will manage, troubleshoot, and optimize our core infrastructure, ensuring high availability, robust security compliance, and seamless operational continuity.

Role Details
  • Position: Systems & Infrastructure Engineer (Freelance / Contract)
  • Time Commitment: ~100 hours per month (Flexible schedule / Part-time)
  • Experience Required: Minimum 4 years of proven experience in similar roles
  • Compensation: $40 - $55 USD / hour (Depending on experience)
  • Location: Internationale Parkway, Woodridge, IL
  • Schedule: Monday - Friday 8:00 AM - 5:00 PM

Requirements

  • Virtualization: Solid experience managing and configuring virtualized environments.
  • Windows Ecosystem: Strong expertise in Windows Operating Systems for both workstations and servers.
  • ITSM Tools: Hands-on experience with ServiceNow (specifically handling incident, change, and request management).
  • Directory & Patch Management: Advanced knowledge of Microsoft Active Directory and Microsoft WSUS.
  • Networking & Security: Proven experience in the administration and troubleshooting of networks and firewalls.
  • Data Transfer: Familiarity with professional file transfer software and secure data systems.
  • Vulnerability Management: Practical awareness and experience in vulnerability identification, management, and remediation.
  • Experience working with the Closed Loop Framework and its associated compliance requirements.
  • Background or familiarity with infrastructure support within manufacturing or production operations environments.

Benefits

  • Position Type: Independent Contractor / Freelance (No additional corporate benefits/amenities provided).
  • Environment: Stable, on-site infrastructure operations.
  • Compensation: Premium hourly rate reflecting the specialized nature of the role.