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Python Data Jobs in Illinois (NOW HIRING)

HR Pundits

Lead Data Engineer

Chicago, IL · On-site

$105K - $139K/yr

Expertise in SQL, Python, data modeling, and distributed processing. Experience with CI/CD, DevOps, and modern data architecture (lakehouse, medallion, etc.). Experience working in an Agile analytics ...

New

Grubhub

Senior Staff Data Scientist

Chicago, IL · On-site

Proficiency in Python, data analysis, visualization, and writing scalable, production-ready code using object-oriented design. * Demonstrated ability to take data science, ML, or causal inference ...

GATX

Lead Data Engineer

Chicago, IL · On-site +1

$111K - $160K/yr

Expertise in SQL, Python, data modeling, and distributed processing; * Experience with CI/CD, DevOps, and modern data architecture (lakehouse, medallion, etc.); and * Strong communication skills and ...

Two95 International Inc.

Python Developer

Chicago, IL · On-site

$51.75 - $71.25/hr

Python Developer Location: Chicago, IL Duration: 4 Months+ Extension Experience Guidelines: * 7+ ... Understanding of data architecture, software design and best coding practices * Strong experience ...

Two95 International Inc.

Python Developer

Chicago, IL

$51.75 - $71.25/hr

Python Developer Location: Chicago, IL Duration: 4 Months+ Extension Experience Guidelines: * 7+ ... Understanding of data architecture, software design and best coding practices * Strong experience ...

Two95 International Inc.

Python Developer

Chicago, IL

$51.75 - $71.25/hr

Python Developer Location: Chicago, IL Duration: 4 Months+ Extension Experience Guidelines: * 7+ ... Understanding of data architecture, software design and best coding practices * Strong experience ...

GATX

Lead Data Engineer

Chicago, IL · On-site +1

$111K - $160K/yr

Expertise in SQL, Python, data modeling, and distributed processing; * Experience with CI/CD, DevOps, and modern data architecture (lakehouse, medallion, etc.); and * Strong communication skills and ...

Kemper

Python Engineer Manager

Downers Grove, IL

Actuarial Data Support: Collaborate with the actuarial team to provide solutions for pricing ... Python development, with experience creating python-based applications utilizing clean code ...

Vergence

Senior Tableau/Python Developer

Springfield, IL · On-site

$120K - $162K/yr

Primary Responsibilities: • Design, develop, and maintain enterprise level Dashboards/Reports using Tableau and Python-based frameworks. • Build and optimize scalable data processing solutions ...

Vergence

Senior Tableau/Python Developer

Springfield, IL · On-site

$120K - $162K/yr

Primary Responsibilities: • Design, develop, and maintain enterprise level Dashboards/Reports using Tableau and Python-based frameworks. • Build and optimize scalable data processing solutions ...

SGS & Co

Packaging Data Engineer

Chicago, IL · On-site

Experience with Python, data pipelines, cloud platforms, data modeling, and Microsoft Copilot a plus. * Experience working with packaging specification databases, including data management and ...

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All JobsPython Data JobsPython Data Jobs in Illinois

Python Data information

See Illinois salary details

$12

$56

$83

How much do python data jobs pay per hour?

As of Jul 14, 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 is the salary for Python data analytics?

The salary for Python data analysts typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with strong skills in data manipulation, visualization, and tools like Pandas and SQL tend to earn higher salaries.

What Python jobs are in demand?

Python data-related jobs in demand include data analyst, data scientist, machine learning engineer, and backend developer. These roles often require proficiency in libraries like Pandas, NumPy, and frameworks such as TensorFlow, with employers seeking strong programming skills and experience with data analysis or AI projects.

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.

Will AI replace Python devs?

Python developers are unlikely to be fully replaced by AI, as their role involves designing, coding, and maintaining complex software systems that require human judgment and creativity. AI tools can assist with tasks like code generation and debugging, but human oversight remains essential for quality and innovation. Staying updated with new frameworks and machine learning techniques can help Python developers remain valuable in the evolving tech landscape.

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 type of jobs can I get with Python?

Python is used in a variety of roles including software developer, data analyst, data scientist, machine learning engineer, and automation engineer. These jobs often require knowledge of libraries like Pandas, NumPy, and frameworks such as TensorFlow or Django, and may involve working in environments like cloud platforms or data centers.

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 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
Lead Data Engineer

Lead Data Engineer

HR Pundits

Chicago, IL • On-site

$105K - $139K/yr

Other

Posted 5 days ago

New

Job description

Job- Lead Data Engineer

Location: Chicagoland, IL candidates ONLY

Duration: Contract to Hire - 3-6 months


Company:

Founded in 1898 and headquartered in Chicago, IL, GATX Corporation (NYSE: GATX) leases transportation assets and provides critical services to customers worldwide. Our diverse portfolio of assets includes railcars, locomotives, tank containers, and aircraft spare engines.

We are an industry leader with 125+ years of success - success that is powered by our people. We are proud of our high-performance culture, hard-working and enthusiastic management team, and beautiful office space in the Willis Tower.

Overview:

We are investing in the next evolution of our data, analytics, and artificial intelligence ecosystem. We are looking for a Lead Data Engineer who s ready to do more than just build pipelines on Databricks and AWS.

You will help shape enterprise analytics strategy, influence architecture, and partner directly with the business to drive smarter decisions.

Why This Role?

This is a high-impact, high visibility role where you will:

Lead the design and implementation of a modern AWS + Databricks Lakehouse platform

Partner across IT, analytics, and business teams to turn data into decisions

Drive scalable, governed, high-performance data solutions

Influence how data powers analytics, reporting, and AI across the company

What You ll Be Doing

Design and lead enterprise-grade pipelines, supporting both batch and streaming data processing

Own the full ETL/ELT lifecycle, from design through production support

Drive data engineering standards, best practices, and architecture across the data ecosystem

Translate business requirements into scalable, high-performance data solutions

Mentor a small team while remaining hands-on

Ensure data reliability, performance, governance, and cost optimization

Qualifications:

10+ years of IT experience, including deep expertise in data engineering & ETL

4-6+ years of recent hands-on experience in designing, building, and scaling data pipelines

Strong hands-on experience with Databricks (Spark, Delta Lake, Unity Catalog) and AWS (S3, IAM, networking)

Highly proficient in Databricks' core architectural pattern, which combines the best elements of data lakes and data warehouses.

Familiar with advanced features like Unity Catalog (for governance), Delta Live Tables (DLT for pipelines), Databricks SQL, and workflow orchestration.

Expertise in SQL, Python, data modeling, and distributed processing.

Experience with CI/CD, DevOps, and modern data architecture (lakehouse, medallion, etc.).

Experience working in an Agile analytics environment where close collaboration with key stakeholders to address evolving requirements is the norm.

Strong communication skills and the ability to translate complex technical concepts into solutions that deliver business outcomes.

A passion for continued learning and an interest in staying current with the rapidly evolving data and analytics space.

What Sets You Apart

You re analytical, curious, and solutions-oriented

You thrive in environments where you balance priorities and drive outcomes

You re comfortable with ambiguity and can quickly learn the business

You build strong partnerships and bring a get things done mindset

Interview Process:

60-90 minute technical interview with Director testing ability to do hands-on design work, to work in their database platform, etc. - IN PERSON IS mandatory.

30-45 minute behavioral/team fit interview with Manager

Apply