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Python Healthcare Jobs in Illinois (NOW HIRING)

Data Engineer (ETL / Python Developer)

Springfield, IL · On-site

$113.50K - $136.30K/yr

This role spans Azure Data Factory, Databricks, Snowflake, Informatica, and Python-based frameworks ... Experience supporting State Medicaid EDW or MMIS analytics environments * Healthcare or public ...

Software Engineer

Oak Brook, IL · On-site

$90K - $120K/yr

This role requires strong Python skills, particularly in Selenium and OpenCV, and a deep understanding of healthcare billing workflows. Experience with AI/ML, OCR, and cloud platforms (especially ...

This role requires strong Python skills, particularly in Selenium and OpenCV, and a deep understanding of healthcare billing workflows. Experience with AI/ML, OCR, and cloud platforms (especially ...

Senior Data Engineer (Health Research Team)

Chicago, IL · On-site +1

$109.30K - $148.50K/yr

You will primarily work with Python, PySpark, and SQL, using AWS services like EC2 and S3. Additionally, you will process healthcare data through a variety of Milliman tools. This role is based out ...

Full Stack Engineer

Chicago, IL · On-site +1

$100K - $120K/yr

Python/Django • React • AWS/GCP Compensation: $100k-$120k base, 10% bonus, + equity About Grapefruit Health Grapefruit Health is a healthcare tech-enabled services company that is addressing the ...

Health Benefits Data Analyst

Chicago, IL · Remote

$62.50K - $75K/yr

... are informatics or another graduate-level health or data science discipline (highly preferred). * SQL coding (or other large data set manipulation experience) is required. Knowledge of Python is a ...

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Python Healthcare information

See Illinois salary details

$12

$56

$83

How much do python healthcare jobs pay per hour?

As of May 31, 2026, the average hourly pay for python healthcare 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 Healthcare job?

A Python Healthcare job involves using Python programming to develop software solutions in the healthcare industry. This can include data analysis, automation, electronic health record (EHR) management, medical imaging, and AI-driven diagnostics. Professionals in this field work with healthcare data, ensuring compliance with regulations like HIPAA while improving efficiency and patient outcomes. They may collaborate with data scientists, medical professionals, and IT teams to create innovative healthcare tools and applications.

What are the key skills and qualifications needed to thrive in the Python Healthcare position, and why are they important?

To thrive in a Python Healthcare role, you need strong programming skills in Python, knowledge of healthcare data standards (like HL7 or FHIR), and experience with data analysis or machine learning, often supported by a degree in computer science, health informatics, or a related field. Familiarity with databases, cloud platforms, and healthcare information systems, as well as certifications in health IT or analytics, are commonly required. Excellent problem-solving abilities, attention to detail, and effective communication skills help you collaborate with clinical and technical teams. These skills are crucial for developing reliable solutions that improve patient outcomes and streamline healthcare operations.

What types of projects or tasks can I expect to work on in a Python Healthcare role?

As a Python Healthcare professional, you may work on projects such as developing data pipelines to handle electronic health records, creating algorithms to analyze patient data, building machine learning models for clinical predictions, or implementing interoperable healthcare applications. You'll often be part of interdisciplinary teams, collaborating with data scientists, clinicians, and IT specialists to translate healthcare needs into effective technical solutions. On a typical day, you might clean and preprocess large datasets, write and optimize Python scripts, and troubleshoot software integration issues. Gaining hands-on experience with healthcare datasets and championing data privacy are also key aspects of the role, making it both challenging and rewarding.
Infographic showing various Python Healthcare job openings in Illinois as of May 2026, with employment types broken down into 3% Locum Tenens, 8% As Needed, 43% Full Time, 8% Part Time, 1% Temporary, and 37% 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.
Data Engineer (ETL / Python Developer)

Data Engineer (ETL / Python Developer)

CSpring

Springfield, IL • On-site

$113.50K - $136.30K/yr

Other

Posted 25 days ago


Job description

Description

At CSpring, we believe in the power of people and data to drive real-world impact. We're a purpose-driven consulting firm that helps organizations solve complex problems, gain insights, and achieve measurable results. Our clients span the public and private sectors, and our work - from data strategy and engineering to workforce transformation - improves lives across Indiana and beyond. We're seeking talented professionals who are collaborative, curious, and committed to making a difference.


Why You'll Love Working Here

  • The work matters beyond the warehouse. The pipelines you build support Medicaid programs and federal reporting that affect millions of people. At CSpring, that connection between craft and mission is something the whole team takes seriously.
  • You'll be surrounded by people who care. The culture here is warm, collaborative, and grounded - people ask good questions, share what they know, and hold each other to a high standard.
  • You'll work across a modern stack. This role spans Azure Data Factory, Databricks, Snowflake, Informatica, and Python-based frameworks - and you'll have the autonomy to build things the right way, not just the fast way.
  • Your work is visible and your voice is heard. You'll work alongside architects, analysts, and program leads who want your input, not just your output.

What You'll Do

You'll design and maintain the data infrastructure that powers enterprise analytics and federal reporting for some of the nation's most critical public health programs.

  • Design, develop, and maintain enterprise ETL pipelines using Azure Data Factory (ADF), Informatica PowerCenter, and Python-based frameworks
  • Build and optimize scalable data processing solutions using Python, Spark, and Databricks
  • Support Medicaid analytics and federal reporting initiatives including T-MSIS, PERM, MARS, and Quality of Care programs
  • Develop robust data validation, reconciliation, and audit-traceable pipelines that hold up under regulatory scrutiny
  • Write and optimize SQL and stored procedures across relational platforms including Snowflake, Oracle, and SQL Server
  • Participate in cloud migration and modernization initiatives within Azure-based architectures, bridging legacy and modern platforms
  • Collaborate closely with analysts, QA engineers, and BI reporting teams to make sure data is accurate, timely, and trustworthy at every stage
  • Follow data engineering best practices for performance, reliability, reusability, and security - not just functionality
  • Support production operations, incident resolution, and root-cause analysis when issues arise
  • Participate in code reviews, source control, and CI/CD processes using Azure DevOps and GitHub

Requirements

  •  5+ years of data engineering experience with a focus on enterprise data warehousing
  • 5+ years of hands-on ETL development using Informatica PowerCenter, Azure Data Factory, or comparable tools
  • 5+ years of Python development for data engineering and automation
  • 3+ years of experience with Spark-based processing frameworks (Databricks or equivalent)
  • Strong SQL expertise and hands-on experience with relational databases including Snowflake, Oracle, or SQL Server
  • Experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD pipelines)
  • Bachelor's degree or higher in Computer Science, Engineering, Analytics, or a related field

Preferred Qualifications

  • Experience supporting State Medicaid EDW or MMIS analytics environments
  • Healthcare or public-sector analytics experience (Medicaid / Medicare preferred)
  • Data modeling experience in enterprise data warehouse environments
  • Scripting experience with PowerShell or Bash for automation and orchestration
  • Experience designing or consuming REST APIs within data platforms
  • Familiarity with data quality frameworks, reconciliation, and audit support
  • Azure certifications in data engineering or analytics

At CSpring, we unlock the potential of people and data. If you're ready to lead meaningful work, collaborate with passionate teams, and grow your career in a people-first consulting environment - apply today!