Datamaxis is hiring: Senior Tableau / Python Developer in Springfield
Datamaxis, Springfield, IL, United States
Primary Responsibilities:
Design, develop, and maintain enterprise level Dashboards/Reports using Tableau and Python-based frameworks.
Build and optimize scalable data processing solutions using Python.
Support Medicaid analytics and federal reporting initiatives (e.g., T-MSIS, PERM, MARS, Quality of Care)
Write and optimize SQL and stored procedures across relational platforms such as Teradata.
Participate in cloud migration and modernization initiatives within Azure-based architectures
Collaborate with analysts, QA, and reporting teams to ensure data quality, accuracy, and timeliness
Follow Reporting and Dashboard best practices for performance, reliability, reusability, and security
Support production operations, incident resolution, and root-cause analysis
Participate in code reviews, source control, and CI/CD processes using Azure DevOps and GitHub
Required Qualification:
5+ years of Reporting and Dashboard with a focus on enterprise data warehousing
5+ years of hands-on Reports and Dashboard development using Tableau, Business Objects.
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 experience with relational databases (such as Teradata, Snowflake, Oracle, SQL Server)
Experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD)
Bachelor’s degree or higher in Computer Science, Engineering, Analytics, or a related field
Strong analytical, problem-solving, and troubleshooting skills
Preferred Qualification:
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 (PowerShell, Bash) for automation and orchestration
Experience designing or consuming APIs (REST) within data platforms
Familiarity with data quality frameworks, reconciliation, and audit support
Azure certifications related to data engineering or analytics
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Design, develop, and maintain enterprise level Dashboards/Reports using Tableau and Python-based frameworks.
Build and optimize scalable data processing solutions using Python.
Support Medicaid analytics and federal reporting initiatives (e.g., T-MSIS, PERM, MARS, Quality of Care)
Write and optimize SQL and stored procedures across relational platforms such as Teradata.
Participate in cloud migration and modernization initiatives within Azure-based architectures
Collaborate with analysts, QA, and reporting teams to ensure data quality, accuracy, and timeliness
Follow Reporting and Dashboard best practices for performance, reliability, reusability, and security
Support production operations, incident resolution, and root-cause analysis
Participate in code reviews, source control, and CI/CD processes using Azure DevOps and GitHub
Required Qualification:
5+ years of Reporting and Dashboard with a focus on enterprise data warehousing
5+ years of hands-on Reports and Dashboard development using Tableau, Business Objects.
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 experience with relational databases (such as Teradata, Snowflake, Oracle, SQL Server)
Experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD)
Bachelor’s degree or higher in Computer Science, Engineering, Analytics, or a related field
Strong analytical, problem-solving, and troubleshooting skills
Preferred Qualification:
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 (PowerShell, Bash) for automation and orchestration
Experience designing or consuming APIs (REST) within data platforms
Familiarity with data quality frameworks, reconciliation, and audit support
Azure certifications related to data engineering or analytics
#J-18808-Ljbffr