Explore 4 python data engineer jobs from 2 hiring companies in Jacksonville, IL, US. Filter by remote, salary, experience, and company, then open any listing to apply.

python-data-engineer

Python Data Engineer

South Jacksonville

Springfield

Chatham

Beardstown

Jerseyville

Auburn

Carlinville

Litchfield

Pittsfield

Sherman

Virden

White Hall

Winchester

Rochester

Virginia

Riverton

Rushville

Roodhouse

Petersburg

Python Data Engineer Jobs

CSpring

Datamaxis

Onsite

Remote

DescriptionAt 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<ul><li>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.</li><li>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.</li><li>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.</li><li>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.</li></ul>What You’ll Do&nbsp;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.<ul><li>Design, develop, and maintain enterprise ETL pipelines using Azure Data Factory (ADF), Informatica PowerCenter, and Python-based frameworks</li><li>Build and optimize scalable data processing solutions using Python, Spark, and Databricks</li><li>Support Medicaid analytics and federal reporting initiatives including T-MSIS, PERM, MARS, and Quality of Care programs</li><li>Develop robust data validation, reconciliation, and audit-traceable pipelines that hold up under regulatory scrutiny</li><li>Write and optimize SQL and stored procedures across relational platforms including Snowflake, Oracle, and SQL Server</li><li>Participate in cloud migration and modernization initiatives within Azure-based architectures, bridging legacy and modern platforms</li><li>Collaborate closely with analysts, QA engineers, and BI reporting teams to make sure data is accurate, timely, and trustworthy at every stage</li><li>Follow data engineering best practices for performance, reliability, reusability, and security — not just functionality</li><li>Support production operations, incident resolution, and root-cause analysis when issues arise</li><li>Participate in code reviews, source control, and CI/CD processes using Azure DevOps and GitHub</li></ul>Requirements<ul><li>&nbsp;5+ years of data engineering experience with a focus on enterprise data warehousing</li><li>5+ years of hands-on ETL development using Informatica PowerCenter, Azure Data Factory, or comparable tools</li><li>5+ years of Python development for data engineering and automation</li><li>3+ years of experience with Spark-based processing frameworks (Databricks or equivalent)</li><li>Strong SQL expertise and hands-on experience with relational databases including Snowflake, Oracle, or SQL Server</li><li>Experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD pipelines)</li><li>Bachelor's degree or higher in Computer Science, Engineering, Analytics, or a related field</li></ul>Preferred Qualifications<ul><li>Experience supporting State Medicaid EDW or MMIS analytics environments</li><li>Healthcare or public-sector analytics experience (Medicaid / Medicare preferred)</li><li>Data modeling experience in enterprise data warehouse environments</li><li>Scripting experience with PowerShell or Bash for automation and orchestration</li><li>Experience designing or consuming REST APIs within data platforms</li><li>Familiarity with data quality frameworks, reconciliation, and audit support</li><li>Azure certifications in data engineering or analytics</li></ul>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!

ETL / Python Developer

5+ years data engineering, ETL development, Python, SQL; experience with Spark/Databricks; Azure data tools; enterprise data warehousing.

DescriptionAt 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<ul><li>Mission-driven impact at scale. You'll build dashboards and data pipelines that support Medicaid program integrity, federal compliance reporting, and health outcomes for millions of beneficiaries — work that shows up in real policy decisions.</li><li>Autonomy on meaningful problems. You'll own the design and delivery of enterprise-level reporting solutions, collaborating closely with architects and analysts rather than waiting on a ticket queue.</li><li>Data &amp; innovation at the center. You'll work across modern cloud platforms alongside legacy systems, giving you both depth and breadth in a genuinely complex data environment.</li><li>Collaborative, delivery-focused culture. You'll work alongside architects, QA engineers, analysts, and BI teams who care about getting it right — code reviews, CI/CD practices, and shared standards are the norm here.</li><li>Public health improvement. The programs you support — T-MSIS, PERM, MARS, Quality of Care — are the infrastructure behind better health systems. Your work has a name and a purpose.</li></ul>What You’ll Do&nbsp;In this role, you'll be the hands-on technical lead for dashboard, reporting, and data engineering work within a large-scale Medicaid EDW and analytics program.<ul><li>You'll design, develop, and maintain enterprise-level dashboards and reports using Tableau and Python-based frameworks, ensuring they're performant, reusable, and built to last.</li><li>You'll build and optimize scalable data processing pipelines using Python, supporting both ongoing analytics needs and federal reporting requirements.</li><li>You'll write and tune SQL and stored procedures across relational platforms — primarily Teradata — with a focus on accuracy and efficiency at enterprise scale.</li><li>You'll support Medicaid analytics and federal reporting initiatives including T-MSIS, PERM, MARS, and Quality of Care programs, working closely with SMEs and compliance teams.</li><li>You'll participate in cloud migration and modernization work within Azure-based architectures, contributing to the shift from legacy systems toward modern platforms.</li><li>You'll collaborate with analysts, QA teams, and BI reporting leads to validate data quality, resolve discrepancies, and ensure timely delivery of reporting deliverables.</li><li>You'll support production operations — including incident response and root-cause analysis — and contribute to a stable, reliable analytics environment.</li><li>You'll participate in code reviews, maintain source control hygiene, and work within CI/CD processes using Azure DevOps and GitHub.</li></ul>Requirements<ul><li>&nbsp;5+ years of experience in enterprise reporting and dashboard development, with a strong focus on Tableau and Business Objects</li><li>5+ years of hands-on Python development for data engineering and automation</li><li>3+ years working with Spark-based processing frameworks such as Databricks</li><li>Strong SQL expertise with experience in relational databases including Teradata, Snowflake, Oracle, or SQL Server</li><li>Demonstrated experience with source control and DevOps practices — Azure DevOps, GitHub, CI/CD pipelines</li><li>Bachelor's degree in Computer Science, Engineering, Analytics, or a related field</li><li>Strong analytical and troubleshooting skills, with a track record of solving complex data problems in regulated environments</li></ul>Preferred Qualifications<ul><li>Prior experience supporting a State Medicaid EDW or MMIS analytics environment</li><li>Healthcare or public-sector analytics background (Medicaid / Medicare strongly preferred)</li><li>Data modeling experience within enterprise data warehouse environments</li><li>Scripting experience with PowerShell or Bash for automation and orchestration</li><li>Experience designing or consuming REST APIs within data platforms</li><li>Familiarity with data quality frameworks, reconciliation processes, and audit support</li><li>Azure certifications in data engineering or analytics</li></ul>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!

Tableau / Python Developer

5+ years in enterprise reporting/dashboard development; strong Python; SQL; Spark; Teradata/Snowflake/Oracle/SQL Server; Azure DevOps/GitHub; Bachelor's degree.

Primary Responsibilities: 
<ul><li>Design, develop, and maintain enterprise level Dashboards/Reports using Tableau and Python-based frameworks. </li><li>Build and optimize scalable data processing solutions using Python. </li><li>Support Medicaid analytics and federal reporting initiatives (e.g., T-MSIS, PERM, MARS, Quality of Care) </li><li>Write and optimize SQL and stored procedures across relational platforms such as Teradata. </li><li>Participate in cloud migration and modernization initiatives within Azure-based architectures </li><li>Collaborate with analysts, QA, and reporting teams to ensure data quality, accuracy, and timeliness </li><li>Follow Reporting and Dashboard best practices for performance, reliability, reusability, and security </li><li>Support production operations, incident resolution, and root-cause analysis </li><li>Participate in code reviews, source control, and CI/CD processes using Azure DevOps and GitHub</li></ul>
Required Qualification: 
<ul><li>5+ years of Reporting and Dashboard with a focus on enterprise data warehousing </li><li>5+ years of hands-on Reports and Dashboard development using Tableau, Business&nbsp;Objects.</li><li>5+ years of Python development for data engineering and automation</li><li>3+ years of experience with Spark-based processing frameworks (Databricks or&nbsp;equivalent)</li><li>Strong SQL expertise and experience with relational databases (such as Teradata,&nbsp;Snowflake, Oracle, SQL Server)</li><li>Experience with source control and DevOps practices (Azure DevOps, GitHub,&nbsp;CI/CD)</li><li>Bachelor’s degree or higher in Computer Science, Engineering, Analytics, or a&nbsp;related field</li><li>Strong analytical, problem-solving, and troubleshooting skills </li></ul>
Preferred Qualification: 
<ul><li>Experience supporting State Medicaid EDW or MMIS analytics environments</li><li>Healthcare or public-sector analytics experience (Medicaid / Medicare preferred)</li><li>Data modeling experience in enterprise data warehouse environments</li><li>Scripting experience (PowerShell, Bash) for automation and orchestration</li><li>Experience designing or consuming APIs (REST) within data platforms</li><li>Familiarity with data quality frameworks, reconciliation, and audit support</li><li>Azure certifications related to data engineering or analytics </li></ul>

Senior Tableau / Python Developer

5+ years in reporting/dashboard and enterprise data warehousing; 5+ years Tableau/Business Objects; 5+ years Python data engineering; 3+ years Spark (Databricks); strong SQL; experience with Azure DevOps, GitHub; degree in CS/Engineering/Analytics

Our client&nbsp;is seeking a hands-on Senior Data Engineer (ETL / Python Developer) to support the Enterprise Data Warehouse (EDW) and Analytics Program. This role plays a critical part in designing, developing, and maintaining scalable data ingestion and transformation pipelines that support Medicaid analytics, federal reporting, and enterprise decision support.The ideal candidate brings strong ETL and Python engineering expertise, experience&nbsp;working with large healthcare datasets, and the ability to operate effectively in a regulated,&nbsp;audit-sensitive environment. This is a delivery-focused role requiring close collaboration&nbsp;with architects, analysts, QA, PMs, SMEs, developers, and reporting BI teams across both&nbsp;legacy and cloud-based platforms. Primary Responsibilities <ul><li>Design, develop, and maintain enterprise ETL pipelines using Azure Data Factory&nbsp;(ADF), Informatica PowerCenter, and Python-based frameworks</li><li>Build and optimize scalable data processing solutions using Python, Spark, and&nbsp;Databricks</li><li>Support Medicaid analytics and federal reporting initiatives (e.g., T-MSIS, PERM,&nbsp;MARS, Quality of Care)</li><li>Develop robust data validation, reconciliation, and audit-traceable data pipelines</li><li>Write and optimize SQL and stored procedures across relational platforms such asSnowflake, Oracle, and SQL Server</li><li>Participate in cloud migration and modernization initiatives within Azure-based&nbsp;architectures</li><li>Collaborate with analysts, QA, and reporting teams to ensure data quality, accuracy,&nbsp;and timeliness </li><li>Follow data engineering best practices for performance, reliability, reusability, and&nbsp;security </li><li>Support production operations, incident resolution, and root-cause analysis</li><li>Participate in code reviews, source control, and CI/CD processes using Azure&nbsp;DevOps and GitHub</li></ul>Required Qualifications<ul><li>5+ years of data engineering experience with a focus on enterprise data&nbsp;warehousing</li><li>5+ years of hands-on ETL development using Informatica PowerCenter, Azure Data Factory, or similar tools</li><li>5+ years of Python development for data engineering and automation</li><li>3+ years of experience with Spark-based processing frameworks (Databricks or&nbsp;equivalent)</li><li>Strong SQL expertise and experience with relational databases (such as Teradata,Snowflake, Oracle, SQL Server) </li><li>Experience with source control and DevOps practices (Azure DevOps, GitHub,&nbsp;CI/CD)</li><li>Bachelor’s degree or higher in Computer Science, Engineering, Analytics, or a&nbsp;related field</li><li>Strong analytical, problem-solving, and troubleshooting skills </li></ul>Preferred Qualification <ul><li>Experience supporting State Medicaid EDW or MMIS analytics environments </li><li>Healthcare or public-sector analytics experience (Medicaid / Medicare preferred) </li><li>Data modeling experience in enterprise data warehouse environments </li><li>Scripting experience (PowerShell, Bash) for automation and orchestration </li><li>Experience designing or consuming APIs (REST) within data platforms </li><li>Familiarity with data quality frameworks, reconciliation, and audit support </li><li>Azure certifications related to data engineering or analytics </li></ul>

Senior ETL / Python Developer

Senior ETL and Python Developer

5+ years data engineering with enterprise warehousing, ETL with Informatica/ADF, Python, Spark; SQL with Snowflake/Oracle/SQL Server; Azure DevOps/GitHub; Bachelor’s or higher in CS/Engineering/Analytics.

Python Data Engineer Jobs in Jacksonville, IL, US

Python Data Engineer Jobs market signals in Jacksonville, IL, US

Companies appearing in this market

Work location mix in visible results

Related browse hubs