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Python Data Jobs in Illinois (NOW HIRING)

Data Engineer, Cumberland/FICCO

Chicago, IL ยท On-site

$118K - $141K/yr

Required : โ€ข 3+ years of demonstrated experience designing and implementing ingestion pipelines โ€ข Foundational understanding of the Python data science ecosystem โ€ข Strong understanding of ...

Data Science/MLOps Engineer

Chicago, IL ยท On-site

$118K - $141K/yr

Design, develop, and maintain Python based applications, data pipelines, and AI/ML solutions. * Build, train, evaluate, and deploy machine learning and data science models for production use.

Data Science/MLOps Engineer

Chicago, IL ยท On-site

$118K - $141K/yr

Data Science/MLOps Engineer Experience: - Min 8+ Years Location: - Chicago, IL We are seeking a highly skilled Senior Engineer with strong expertise in Python, Data Science, AI/ML, and AWS cloud ...

Data Engineer, Cumberland/FICCO

Chicago, IL ยท On-site

$150K - $200K/yr

Foundational understanding of the Python data science ecosystem * Strong understanding of option and future products and their respective data requirements * Strong understanding of financial point ...

Data Engineer, Python & ETL

Chicago, IL ยท On-site

$118K - $141K/yr

Data Engineer, Python & ETL, Chicago, IL A proprietary trading firm is seeking a Data Engineer, Python & ETL to join its Data Infrastructure team, to help improve and extend the data platform. This ...

Data Quality Engineer

Downers Grove, IL ยท Remote

$114K - $137K/yr

Python-based automation and testing frameworks * Strong knowledge of test environment strategy, including environment planning, test data management, deployment coordination, integration testing ...

Data Quality Engineer

Chicago, IL ยท Remote

$118K - $141K/yr

Python-based automation and testing frameworks * Strong knowledge of test environment strategy, including environment planning, test data management, deployment coordination, integration testing ...

Lead Data Engineer

Chicago, IL ยท Remote

$105K - $139K/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 ...

Data Engineer

Chicago, IL

$118K - $141K/yr

Proficiency in SQL and Python. * Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS). * Data warehousing experience (Azure Synapse ...

Python Tutor

Oak Lawn, IL ยท Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Python Tutor

Chicago, IL ยท Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Python Tutor

Schaumburg, IL ยท Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Python Tutor

Naperville, IL ยท Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Python Tutor

Dekalb, IL ยท Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Python Tutor

Champaign, IL ยท Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Python Tutor

Buffalo Grove, IL ยท Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Python Tutor

Normal, IL ยท Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Python Tutor

Lake Forest, IL ยท Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

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Showing results 1-20

Python Data information

See Illinois salary details

$12

$56

$83

How much do python data jobs pay per hour?

As of Aug 28, 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 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 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 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.

Are Python coders in demand?

Python developers are in high demand across various industries due to the language's versatility in data analysis, web development, and automation. Employers seek skills in frameworks like Django and data tools such as Pandas, making Python a valuable programming language for job seekers. The demand is expected to grow as data-driven decision-making and automation increase in the workplace.

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, data analysis, and proficiency with tools like Pandas and TensorFlow can lead to higher compensation.

Is Python Data still in demand in 2026?

Python data roles remain in high demand in 2026 due to the language's widespread use in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and frameworks such as TensorFlow enhance job prospects, and proficiency in data management tools is often required.

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:

Infographic showing various Python Data job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $118,156 per year, or $56.8 per hour.

Software Engineer(Python)

Chicago, IL โ€ข On-site

Contractor

Posted 23 days ago


Job description

Role: Senior Software Engineer(Python)

Location: - Chicago, IL

Experience: - Min 8+ Years

Senior Software Engineer with expertise in Python, Data Analytics, Graph Databases, and AWS, responsible for designing, building, and supporting scalable cloud-native backend services, APIs, and data-driven solutions.

Responsibilities: -

  • Design, build, and maintain backend services and APIs using Python (FastAPI, Flask, Django).
  • Model and query complex relationships using Graph Databases such as Neo4j, Amazon Neptune, or similar.
  • Architect, deploy, and operate cloud-native services on AWS (Lambda, EC2/ECS/EKS, API Gateway, S3, RDS/DynamoDB/Neptune, CloudWatch, IAM, etc.).
  • Contribute to system design discussions, architectural reviews, and technical decision-making.
  • Implement CI/CD pipelines, automation, observability (logging/metrics/tracing), and deployment best practices.
  • Write scalable, clean, well-tested, and maintainable code.
  • Collaborate closely with cross-functional teams including frontend, DevOps, and data/ML.
  • Troubleshoot production issues and optimize performance, reliability, and cost.
  • Mentor junior/mid-level engineers and promote engineering best practices.

 

Educational Qualifications: -

  • Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.
  • Technical certification in multiple technologies is desirable.

 

Skills: -

Mandatory skills

  • Experience Strong expertise in Python backend development with hands-on experience in frameworks such as FastAPI, Flask, or Django for building scalable APIs and enterprise applications.
  • Practical experience working with Graph Databases such as Neo4j, Amazon Neptune, or similar technologies, including graph data modeling and querying using Cypher, Gremlin, or SPARQL.
  • Hands-on experience with AWS cloud services including compute, storage, networking, monitoring, identity, and database services such as Lambda, EC2, ECS/EKS, API Gateway, S3, RDS, DynamoDB, Neptune, CloudWatch, and IAM.
  • Strong understanding of RESTful API design, microservices architecture, distributed systems, and event-driven application development.
  • Experience working with both relational and NoSQL databases, including PostgreSQL and DynamoDB.
  • Hands-on experience with source control, CI/CD workflows, Docker containers, automated testing frameworks, and deployment best practices.
  • Strong debugging, performance optimization, troubleshooting, and system design capabilities.
  • Experience working on Data Analytics solutions and data-driven application development

 

Good to Have Skills

  • Experience with Go (Golang) for building microservices and backend tooling.
  • Understanding of .NET-based applications and backend architecture patterns.
  • Experience with Terraform and Infrastructure as Code for AWS deployments.
  • Hands-on exposure to Kubernetes (EKS), Helm, and container orchestration platforms.
  • Experience with messaging and streaming platforms such as Kafka, SQS/SNS, and Kinesis.
  • Knowledge of cloud security, networking concepts, and AWS best practices.
VeeRteq Solutions is an Equal Opportunity Employer