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Python Data Jobs in Illinois (NOW HIRING)

E-Solutions

Data Engineer - Python, AWS, Alteryx

Chicago, IL · On-site

$118K - $141.80K/yr

Develop and implement scalable data wrangling and transformation pipelines using Alteryx and Python, with a strong focus on maintaining data quality, consistency, and integrity at every stage of the ...

Diverse Lynx

Python Developer

Chicago, IL · On-site

$51.75 - $71.50/hr

Python Developer We are looking for a skilled Python Developer with hands-on experience in ... Collaborate with data scientists, product managers, and engineering teams. * Optimize model ...

AceStack LLC

Senior Python Developer

Chicago, IL

$125.30K - $168.60K/yr

Youll architect robust ETL pipelines| enhance data models| and ensure seamless cloud integration to support our data-driven initiatives. Key Responsibilities - Design| develop| and maintain Python ...

Purple Drive

Senior Python Developer

Chicago, IL

$125.30K - $168.60K/yr

You'll architect robust ETL pipelines, enhance data models, and ensure seamless cloud integration to support our data-driven initiatives. Key Responsibilities * Design, develop, and maintain Python ...

Purple Drive Technologies

Senior Python Developer

Chicago, IL · On-site

$125.20K - $168.40K/yr

You'll architect robust ETL pipelines, enhance data models, and ensure seamless cloud integration to support our data-driven initiatives. Key Responsibilities * Design, develop, and maintain Python ...

Brilliant Infotech

Python Developer with Hadoop

Chicago, IL · On-site

$51.75 - $71.50/hr

No Data Engineer profiles JD: Key Skills & Technical Focus • Strong SQL skills are the top ... Python experience is also critical. o Python is used extensively across their frameworks. o Kafka ...

1872 Consulting

Python Developer

Chicago, IL

$51.75 - $71.50/hr

We're looking for individuals who are passionate about data and emerging technologies, that aren't ... Python, Django and/or Flask * Strong experience working with data solutions - ideally looking for ...

AceStack LLC

Python Developer with AWS

North Chicago, IL

$48.25 - $66.50/hr

Python Developer with AWS Location : North Chicago, IL (ONSITE) Contract We are seeking a skilled ... Develop data pipelines, ETL processes, and APIs for large-scale data processing * Work with ...

Kaav Inc.

Python Developer | ONSITE - Chicago, IL

Chicago, IL · On-site

$51.75 - $71.50/hr

Experience in Data Cleaning and Data transformation using Python * Experience working with Pandas, Numpy and Regular Expressions in Python * Hands on experience with JIRA, Agile methodology, source ...

MidWest Startup creating applications that allow consumers to take control of their data

Be Seen First

Senior Python Developer, Unique Niche Expanding Startup, Startup Exper

Joliet, IL · On-site

$125K - $145K/yr

Our platform turns fragmented data into actionable insights, with privacy at its core. What You'll Build: * Scalable backend services in Python (FastAPI) and/or Node.js * Secure data ingestion ...

New

Purple Drive

Python Developer - Generative AI

Chicago, IL · On-site

$51.75 - $71.50/hr

Overview: Python Developer - Generative AI Location: Chicago, IL ( Onsite ) Employment Type ... Collaborate with data scientists and business teams to translate requirements into technical ...

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Python Data information

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$12

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How much do python data jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for python data in Illinois is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.83 and $64.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Data professional, and why are they important?

To thrive as a Python Data professional, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with data analysis or data science, typically supported by a relevant degree. Familiarity with technical tools such as pandas, NumPy, SQL, Jupyter Notebooks, and often cloud platforms or machine learning frameworks is important, and certifications like Microsoft or Google Data certifications can be advantageous. Strong analytical thinking, attention to detail, and effective communication help you extract insights from data and collaborate with stakeholders. These skills and qualities are essential to efficiently process, analyze, and interpret data, driving informed business decisions.

What are some common challenges faced by Python Data professionals when working with large datasets?

Python Data professionals often encounter challenges such as optimizing code to handle large volumes of data efficiently and managing memory usage to prevent slowdowns or crashes. Working with big datasets may require leveraging tools like pandas, NumPy, or Dask, and sometimes integrating with distributed computing systems such as Apache Spark. Additionally, ensuring data quality and managing data pipelines for consistent and accurate results can be demanding. Collaborating closely with data engineers, analysts, and other stakeholders is common to ensure smooth data flow and analysis.

What is a Python Data professional?

A Python Data professional is someone who uses the Python programming language to analyze, process, and interpret data. They work with large datasets, perform data cleaning and transformation, and apply statistical or machine learning techniques to extract insights. These professionals often work in roles such as data analyst, data scientist, or data engineer, and use Python libraries like Pandas, NumPy, and scikit-learn to accomplish their tasks.

What is the difference between Python Data vs Data Analyst?

AspectPython DataData Analyst
Required SkillsPython programming, data manipulation, scriptingExcel, SQL, data visualization
CertificationsPython certifications, data science coursesData analysis certifications, Excel certifications
Work EnvironmentData science teams, programming-heavy rolesBusiness intelligence, reporting teams
Industry UsageTech, finance, healthcareRetail, marketing, finance

Python Data roles focus on programming, data manipulation, and building data pipelines using Python, while Data Analysts primarily analyze data using tools like Excel and SQL to generate reports and insights. Both roles often collaborate but differ in technical depth and tools used.

What are popular job titles related to Python Data jobs in Illinois? For Python Data jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Python Data jobs in Illinois look for? The top searched job categories for Python Data jobs in Illinois are:
Python Data jobs near you
Infographic showing various Python Data job openings in Illinois as of May 2026, with employment types broken down into 41% Full Time, 50% Part Time, and 9% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $118,156 per year, or $56.8 per hour.
Data Engineer - Python, AWS, Alteryx

Data Engineer - Python, AWS, Alteryx

E-Solutions

Chicago, IL • On-site

$118K - $141.80K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Automation Engineer

Position: Automation Engineer – 6+ years of experience in automation engineering, data analytics, or a similar role

Locations: Plano (Primary) Plano, TX 75024 575, NYC (secondary) New York City, NY 10001, Chicago (secondary) Chicago, IL 60603

Start Date: 11/3/25

Project Duration: 9 months

Work from Office: 5 days in a week

Job Responsibilities:

  • Collaborate with stakeholders to understand business objectives and translate them into analytical solutions.
  • Extract, integrate, and harmonize data from diverse internal and external sources—including databases, files, and APIs—using advanced SQL and SAS techniques. Develop, debug, and optimize SAS/SQL code to accurately define target populations for campaign initiatives.
  • Work with analysts to evaluate campaign performance, identify trends, and uncover actionable insights.
  • Develop and implement scalable data wrangling and transformation pipelines using Alteryx and Python, with a strong focus on maintaining data quality, consistency, and integrity at every stage of the workflow.
  • Design and implement automated workflows for data ingestion from diverse sources (internal databases, external files, APIs, etc.).
  • Continuously improve automation processes to enhance efficiency and scalability.
  • Build, maintain, and optimize interactive Tableau dashboards and reports to visualize post-campaign performance and insights.
  • Document processes, workflows, and best practices for knowledge sharing and future reference.
  • Communicate findings and recommendations effectively to both technical and non-technical audiences.

Required Qualifications, Capabilities, and Skills:

  • Bachelor’s degree in a quantitative or related field (e.g., Computer Science, Statistics, Applied Mathematics, Business with quantitative focus).
  • 6+ years of experience in automation engineering, data analytics, or a similar role.
  • Proficiency in Alteryx and Python (or similar tools) for workflow automation and data transformation.
  • Advanced skills in Python & SQL for data manipulation and analysis.
  • Proven experience with Tableau (or similar visualization tools) for dashboard/report development.
  • Solid understanding of data ingestion techniques and ETL processes.
  • Ability to interpret complex data sets and deliver actionable insights.
  • Excellent problem-solving, communication, and presentation skills.
  • Ability to articulate root causes, comfortable escalating concerns, proactively raises concerns when timelines are in jeopardy of not being met
  • Excellent time management and ability to prioritize with strong organizational skills and attention to detail
  • Ability to learn the business, innovate by designing new processes, and effectively consult on the design and execution of marketing programs
  • Effective communication with all parties at varying levels of analytical/technical understanding is also critical to success in the role.

Preferred Qualifications, Capabilities, and Skills:

  • Familiarity with cloud platforms (AWS, Snowflake, Athena) and data storage solutions.
  • Knowledge of campaign management and marketing analytics.
  • Experience with version control systems (e.g., Git).

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