Explore 5 python data engineer jobs from 3 hiring companies in Ashland, IL, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Data Engineer Jobs

CSpring

Datamaxis

Databricks

Remote

Onsite

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.

CSQ227R17
At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.
This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.&nbsp;
The impact you will have:
<ul>
<li>Engage with Solutions Architects to understand the full use case demand plan for prioritised customers</li>
<li>Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts</li>
<li>Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks</li>
<li>Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations</li>
<li>Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise</li>
<li>Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals</li>
<li>Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs</li>
<li>Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:</li>
<ul>
<li>Main use cases moving from ‘win’ to production</li>
<li>Enablement / user growth plan</li>
<li>Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)</li>
<li>Organic needs for current investment (e.g. cloud cost control, tuning &amp; optimization)</li>
<li>Executive and operational governance</li>
</ul>
<li>Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM</li>
</ul>
What we look for:
<ul>
<li>7+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers</li>
<li>Programming experience in Python, SQL or Scala&nbsp;</li>
<li>Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role</li>
<li>Understanding of solution architecture related distributed data systems</li>
<li>Understanding of how to attribute business value and outcomes to specific project deliverables</li>
<li>Technical program, or project management including account, stakeholder and resource management accountability</li>
<li>Experience resolving complex and important escalation with senior customer executives</li>
<li>Experience conducting open-ended discovery workshops,&nbsp; creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects</li>
<li>Track record of overachievement against quota, Goals or similar objective targets</li>
<li>Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience</li>
<li>Can travel up to 30% when needed</li>
</ul><div class="content-pay-transparency"><div class="pay-input"><div class="description">&nbsp;
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.&nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page <a href="https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf">here</a>. 
&nbsp;</div><div class="title">Local Pay Range</div><div class="pay-range">$180,000&mdash;$247,500 USD</div></div></div><div class="content-conclusion">About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on&nbsp;<a style="color: rgb(255, 54, 33);" href="https://twitter.com/databricks" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://twitter.com/databricks&amp;source=gmail&amp;ust=1700237575733000&amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C">Twitter</a>,&nbsp;<a style="color: rgb(255, 54, 33);" href="https://www.linkedin.com/company/databricks" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://www.linkedin.com/company/databricks&amp;source=gmail&amp;ust=1700237575733000&amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt">LinkedIn</a>&nbsp;and&nbsp;<a style="color: rgb(255, 54, 33);" href="https://www.facebook.com/databricksinc" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://www.facebook.com/databricksinc&amp;source=gmail&amp;ust=1700237575733000&amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ">Facebook</a>. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit&nbsp;<a href="https://www.mybenefitsnow.com/databricks">https://www.mybenefitsnow.com/databricks</a>.&nbsp; 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</div>

Delivery Solutions Architect - Financial Services

Delivery Solutions Architect

7+ years in technical project delivery within Data & AI; customer-facing pre-sales/architecture; strong Python/SQL/Scala; ability to travel up to 30%; Bachelor's in CS/IS/Engineering or equivalent.

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