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Python Data Developer Jobs in Illinois (NOW HIRING)

VeeRteq Solutions Inc.

Data Science/MLOps Engineer

Chicago, IL · 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 ...

Posted today

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 ...

Interactive Brokers

Senior Software Developer - Python

Chicago, IL · On-site

$125K - $168K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

The team consists of software engineers, data engineers, compliance specialists, and data ... Experience with large Python codebases * Bachelor's or master's degree in Computer Science, or a ...

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 · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Actuarial Data Support: Collaborate with the actuarial team to provide solutions for pricing ... Develop scalable programming solutions, and implement data strategies that align with ...

Capital One

Lead Data Engineer, (Python, AWS)

Chicago, IL · On-site

$118K - $141K/yr

Lead Data Engineer, (Python, AWS) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative ...

1 point system

Sr. Python Engineer

Chicago, IL · On-site

GIT We are seeking a Senior Python Developer to design, develop, test, and debug new and existing software applications. This role involves working on a large-scale platform, focusing on data ...

Capital One

Lead Data Engineer, (Python, AWS)

Chicago, IL · On-site

$118K - $141K/yr

Lead Data Engineer, (Python, AWS) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative ...

Radley James Limited

Python Developer

Chicago, IL · On-site

$200 - $350/hr

  • Medical

  • Dental

  • Retirement

With a focus on equities and fixed income, they leverage cutting-edge technology and data-driven ... We are seeking 3 highly skilled and motivated Senior Python Engineer to join their Front Office ...

New

Prophecy Technologies

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... development, Python, SQL, and cloud-based data processing, responsible for building and managing scalable data pipelines using Databricks, AWS, and modern DevOps practices. Responsibilities:

Caterpillar

Senior Data Engineer

Peoria, IL · On-site

$112K - $183K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... developing Python data pipelines that build business data objects used to support applications ... Devops etc. * Experience with AWS components such as Bedrock, Lambda, Dynamo, Fargate, S3 ...

Bank of America

Data Engineer - Python/AI

Addison, IL · On-site

$114K - $137K/yr

Handson experience with CI/CD pipelines , automation, and DevOps practices for ML and application ... Data Quality Management * Financial Management * Solution Delivery Process Minimum Education ...

New

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Showing results 21-40

All JobsPython Data Developer JobsPython Data Developer Jobs in Illinois

Python Data Developer information

What is a Python data developer?

Python Data Developers are professionals who use the Python programming language to collect, process, and analyze data. They build and maintain data pipelines, write scripts for data manipulation, and work with databases to ensure data is accessible and usable for analytics and business insights. These developers often collaborate with data scientists, analysts, and other IT professionals to support data-driven decision-making within an organization.

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

To excel as a Python Data Developer, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with relational and NoSQL databases. Familiarity with data processing libraries (like Pandas, NumPy), ETL tools, and version control systems, as well as knowledge of cloud platforms (such as AWS or Azure), are typically required. Problem-solving ability, attention to detail, and effective communication are vital soft skills in this role. These skills enable efficient data pipeline development, ensure data quality, and facilitate collaboration within technical teams.

What are some common challenges faced by Python data developers when working with large datasets?

Python Data Developers often encounter challenges related to efficiently processing and managing large datasets, such as optimizing data pipelines for speed and memory usage. Handling data quality issues, integrating data from multiple sources, and ensuring scalability of their solutions are also frequent hurdles. Collaboration with data engineers, analysts, and stakeholders is crucial for understanding requirements and delivering robust results. Staying up to date with the latest libraries and tools, like Pandas, Dask, or PySpark, is also important to overcome these challenges and maintain high performance.

What is the difference between Python Data Developer vs Data Analyst?

AspectPython Data DeveloperData Analyst
Required SkillsPython, SQL, data modeling, ETL processesExcel, SQL, data visualization, basic statistics
CertificationsPython certifications, data engineering coursesData analysis certifications, Excel certifications
Work EnvironmentData engineering teams, software development projectsBusiness units, reporting teams
Industry UsageTech, finance, healthcare, where data pipelines are neededMarketing, finance, operations for insights and reporting

The Python Data Developer focuses on building data pipelines, integrating data sources, and developing scalable data solutions using Python. In contrast, Data Analysts primarily interpret data, create reports, and provide insights for decision-making. While both roles require SQL and data handling skills, Python Data Developers are more involved in data engineering tasks, whereas Data Analysts focus on data visualization and analysis.

What are popular job titles related to Python Data Developer jobs in Illinois?

For Python Data Developer jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Python Data Developer jobs in Illinois look for?

The top searched job categories for Python Data Developer jobs in Illinois are:

What cities in Illinois are hiring for Python Data Developer jobs?

Cities in Illinois with the most Python Data Developer job openings:

Python Data Developer jobs near you

Data Science/MLOps Engineer

VeeRteq Solutions Inc.

Chicago, IL • On-site

$118K - $141K/yr

Contractor

Posted 14 hours ago

Posted today

Job description

Role:  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 technologies, along with hands‑on experience in Terraform. The role involves building scalable data‑driven and AI/ML solutions, leveraging foundation models and generative AI services, and contributing to cloud infrastructure automation and best engineering practices.

Responsibilities: -

  • 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.
  • Develop and integrate Generative AI solutions using AWS Bedrock, including foundation model selection, prompt engineering, and inference orchestration.
  • Design and manage AWS cloud infrastructure using Terraform following IaC best practices.
  • Build scalable AI/ML and GenAI deployment architectures using AWS services.
  • Develop and optimize data ingestion, processing, and analytics pipelines for structured and unstructured data.
  • Collaborate with cross‑functional teams to translate business and analytical requirements into technical solutions.
  • Implement CI/CD pipelines, monitoring, logging, and performance optimization.
  • Ensure security, compliance, governance, and cost optimization of cloud and AI workloads.
  • Mentor junior engineers, conduct code reviews, and contribute to architectural decisions.
  • Create and maintain technical documentation, solution designs, and operational runbooks.

Educational Qualifications: -

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

Skills: -

Mandatory skills

  • Strong Min 8–10 years of overall software engineering experience.
  • Strong proficiency in Python for backend systems, data processing, and ML workflows.
  • Hands‑on experience in Data Science and Machine Learning, including feature engineering, model evaluation, and deployment.
  • Experience with ML frameworks such as Scikit‑learn, PyTorch, TensorFlow, or similar.
  • Strong experience with AWS services, including EC2, S3, Lambda, ECS/EKS, RDS, SageMaker, and AWS Bedrock.
  • Practical knowledge of AWS Bedrock for building and operationalizing Generative AI applications.
  • Hands‑on experience with Terraform for infrastructure provisioning and environment management.
  • Experience building cloud‑native, scalable, and highly available systems.
  • Solid understanding of data stores (SQL, NoSQL) and data processing architectures.
  • Familiarity with Docker, Kubernetes, and modern DevOps practices.
  • Strong problem‑solving, communication, and collaboration skills 

Good-to-Have Skills

  • Prior experience with clinical, biomedical, or healthcare NLP use cases
  • Familiarity with healthcare data standards, terminologies, or ontologies
  • Experience deploying ML/NLP solutions in regulated or production healthcare environments
  • Knowledge of distributed systems and cloud-native data architectures
  • Experience with additional data stores, data warehouses, or NoSQL technologies
  • Strong technical documentation and stakeholder communication skills
  • Experience working in agile or cross-functional product development teams
VeeRteq Solutions is an Equal Opportunity Employer