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Part Time Data Analytics Engineer Jobs in Chicago, IL

... other engineers -- who are driving real-world impact in AI development. Our platform offers an ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

... other engineers -- who are driving real-world impact in AI development. Our platform offers an ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

... other engineers -- who are driving real-world impact in AI development. Our platform offers an ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

... other engineers -- who are driving real-world impact in AI development. Our platform offers an ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

... other engineers -- who are driving real-world impact in AI development. Our platform offers an ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Marketing Data Specialist I

Skokie, IL · On-site

$54K - $87K/yr

Support reporting and analysis on lead scoring and funnel progression by preparing summaries and ... We engineer microphones, headphones, wireless audio systems, conferencing systems, and more. And ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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Part Time Data Analytics Engineer information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do part time data analytics engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for part time data analytics engineer 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 Analytics Engineer, and why are they important?

To thrive as a Part Time Data Analytics Engineer, you need strong analytical skills, proficiency in statistics, and experience with data modeling, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI is essential, with certifications in these tools considered advantageous. Excellent problem-solving abilities, attention to detail, and effective communication skills are important soft skills for this role. These skills ensure accurate data analysis, actionable insights, and efficient collaboration, which are critical for delivering value in a part-time capacity.

What does a Part Time Data Analytics Engineer do?

A Part Time Data Analytics Engineer is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They build and manage data pipelines, use programming languages like Python or SQL, and create dashboards or reports to visualize data trends. Working part time, they may focus on specific projects or support ongoing analytics needs, often collaborating with other team members to ensure data quality and actionable insights.

How does working as a part-time Data Analytics Engineer differ from a full-time position in terms of team collaboration and project ownership?

As a part-time Data Analytics Engineer, you'll often collaborate closely with full-time team members, focusing on specific tasks or projects that align with your available hours. You may be assigned to support data pipeline development, create dashboards, or perform data cleaning, but typically with a narrower project scope compared to full-time engineers. Communication and documentation are especially important, as you'll need to ensure smooth handoffs and updates for work that continues outside your scheduled hours. This structure provides flexibility but also requires proactive coordination to stay aligned with team goals and deadlines.
What are the most commonly searched types of Data Analytics Engineer jobs in Chicago, IL? The most popular types of Data Analytics Engineer jobs in Chicago, IL are:
What are popular job titles related to Part Time Data Analytics Engineer jobs in Chicago, IL? For Part Time Data Analytics Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Part Time Data Analytics Engineer jobs in Chicago, IL look for? The top searched job categories for Part Time Data Analytics Engineer jobs in Chicago, IL are:
Infographic showing various Part Time Data Analytics Engineer job openings in Chicago, IL as of June 2026, with employment types broken down into 100% Part Time. Highlights an 82% In-person, 10% Hybrid, and 8% Remote job distribution, with an average salary of $133,627 per year, or $64.2 per hour.
Part-time Lecturers - Biomedical Informatics #PED226

Part-time Lecturers - Biomedical Informatics #PED226

The University of Chicago

Chicago, IL • On-site

Part-time

Posted 20 days ago


University Of Chicago rating

8.2

Company rating: 8.2 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

109th of 537 rated colleges and universities


Job description

Description
The Department of Pediatrics at the University of Chicago seeks part-time lecturers to develop and teach courses in the Master of Science in Biomedical Informatics (https://bmi.bsd.uchicago.edu) program. These positions are renewable. Compensation is dependent on qualifications. These positions are benefits ineligible.
Demand for more sophisticated health information systems and medical research methodologies is rapidly growing due to advances in technology, volume of available health data, and policy initiatives. With a high premium placed on improved delivery of care, therapeutics and outcomes, the skills students acquire in the Master of Science in Biomedical Informatics prepare them to master the foundation of informatics and develop solutions to address these growing needs and current healthcare challenges.
The program operates remotely and on a quarterly schedule, with 9 or 10 weeks of instruction per quarter. Appointees will teach from the following list of courses:
• Introduction to Biostatistics
• Introduction to R Programming
• Overview of Clinical Care Systems
• Introduction to Biomedical Informatics
• Leadership and Innovation for Informatics
• Concepts in Computer Programming
• Ethics and Policy Questions: Genomics, Healthcare and Big Data
• Introduction to Applied Data Analysis
• Advanced Concepts in Computer Programming
• Intermediate Applied Data Analysis
• HIT Integration, Interoperability Standards
• Decision Support Systems & Health Care
• Introduction to Bioinformatics
• Advanced Bioinformatics: Genome Analysis
• Geographic Information Systems and Health Information
• Population Health Informatics
• Machine Learning for Biomedical Informatics
• Capstone Proposal and Research Methods
• Capstone Implementation, Writing and Presentation
Appointees will be required to develop the syllabus, synchronous class content for remote sessions, asynchronous content, assignments, and provide timely assignment feedback and grade submission(s). They will also need to manage the Canvas course site, attend all class sessions, hold weekly office hours, attend quarterly instructor meetings, participate in the capstone project process and co-curricular programming.
Prior to starting employment, qualified applicants must have 1) a graduate-level degree in a relevant field and 2) have relevant experience in biomedical informatics, clinical care, medical research, or practical experience in health care related fields.
Candidates with prior teaching experience and/or relevant practical experience are strongly preferred. Additionally, candidates with a PhD and/or MD are preferred.
To be considered, those interested must apply through The University of Chicago's Recruitment job board, which uses Interfolio to accept applications: https://apply.interfolio.com/181100.
Applicants must upload 1) a cover letter, 2) a curriculum vitae or resume, 3) a proposed syllabus that covers the course topic in sufficient detail, 4) a teaching statement, and 5) teaching evaluations. Review of applications will end when the positions are filled.
For instructions on the Interfolio application process, please visit http://tiny.cc/InterfolioHelp.

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