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

RWE

Risk Analyst/Data Analyst

Chicago, IL · On-site

$85K - $100K/yr

RWE Supply & Trading Americas, LLC To start as soon as possible, full time / part time, permanent ... Experience with a programming language - Python/SQL * Interest in and willingness to further ...

Chicago Public Schools

Senior Data Analyst

Chicago, IL · On-site

$76K - $100K/yr

... programming language (e.g., Python, R). • Familiarity with data warehousing and ETL processes ... The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS ...

Chicago Public Schools

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

... programming language (e.g., Python, R). • Familiarity with data warehousing and ETL processes ... The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS ...

DePaul

Adjunct Faculty in Data Science

Chicago, IL · On-site

Part-time Faculty Positions DePaul University invites expressions of interest for a pool of ... Network Engineering and Security, and Software Engineering. Find out more about SoC at

Northern Trust

Lead, Software Engineering

Chicago, IL · On-site

$108K - $169K/yr

The Northern Trust Company seeks a Lead, Software Engineering to design, build, and test software ... data processing and governance. Part time telecommuting may be permitted. #LI-DNI JOB LOCATION:

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All JobsData Engineering JobsPart Time Data Engineering JobsPart Time Data Engineering Jobs in Chicago, IL

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:
Part Time Data Engineering jobs near you
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.

Risk Analyst/Data Analyst

RWE

Chicago, IL • On-site

$85K - $100K/yr

Full-time, Part-time

Posted 5 days ago

Job description

RWE Supply & Trading Americas, LLC
To start as soon as possible, full time / part time, permanent
About the role
As a Risk Market Data Analyst at RWEST, you will be responsible for the daily provision of high-quality, validated market data and the coordination of the end-of-day process. You will ensure the timely delivery and integrity of market data and work closely with other Risk departments, Front Office, Back Office, and IT teams in a cross-functional environment. In addition, you will define, optimize, and manage business processes, data flows, and change management activities to drive operational excellence and continuous improvement.
Responsibilities:
  • Supporting the daily market data process
  • Coordinating the trading end of day process
  • Interacting with desk-facing risk teams and front office
  • Supporting setup of new trading products
  • Calculating historical volatilities and correlation updates
  • Analyzing market data and creating regular market data reports
  • Implementing process enhancement initiatives, projects and new trading product setups

Job requirements and experience
  • Degree in Economics, Finance, Business Administration, or a related field, or equivalent practical experience
  • Strong analytical and numerical skills, with the ability to interpret complex data and derive meaningful insights
  • Excellent time management, organizational, and prioritization skills
  • Experience with a programming language - Python/SQL
  • Interest in and willingness to further develop a broad range of technical skills-such as Python, AI, and database technologies-that are already applied within the team, including their use in data analysis, process automation, and continuous process improvement initiatives

Advantageous, but not essential
  • General knowledge of the risk process framework as well as market data quality assurance and management processes is a plus

What we value most is someone who continuously demonstrates courage, thrives to create impact and seeks to build trusting, collaborative relationships. So, even if you think you do not yet display all of the skills listed above we would still like to hear from you.
Your benefits
We want to ensure your time with us is fulfilling and rewarding. We offer a comprehensive package designed to support your well-being as well as your personal and professional growth. Here's what you can look forward to:
  • Exposure to a dynamic energy trading environment at the intersection of business and digital innovation
  • Opportunities to innovate, shape, and lead PCI system enhancements as the key system specialist
  • Supportive, inclusive team culture that values your expertise and unique perspective
  • Flexible working arrangements and a strong commitment to work-life balance
  • Strong prospects for personal development, learning, and long-term career growth
  • Salary: $85,000 - $100,000

Apply with just a few clicks: ad code 93022
Any questions? Contact HR: Patrycja Muszynski, Patrycja.Muszynski@rwe.com
We look forward to meeting you. Of course, you can find us on LinkedIn, Instagram, Facebook, YouTube and Xing, too.
We value diversity and therefore welcome all applications - regardless of gender, disability, nationality, ethnic and social origin, religion/belief, age, sexual orientation, and identity. #inclusionmatters
RWE Supply & Trading is our connection to the world's energy markets. Headquartered in Essen, Germany, the company operates one of Europe's largest and most advanced energy trading floors. A diverse team of over 2,200 professionals from around 90 countries trades electricity, gas, commodities, and CO2 emission allowances. With precise market analysis and a strong customer focus, we create innovative energy supply solutions and tailored risk management concepts for industrial clients.
We also ensure the commercial optimisation of RWE's power plant portfolio and markets the electricity generated by RWE. In addition, legally independent RWE gas storage companies operate in Germany, contributing to a secure energy supply.
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