✦ Luna Orbit — Data & Analytics

Lead Python Developer, Data Analytics

at CVS Health

Hybrid 💰 $67K – $199K USD / year Posted April 14, 2026
Salary $67K – $199K USD / year
Type Not Specified
Experience lead
Exp. Years 3+ years
Education Not specified
Category Data & Analytics

This Lead Python Developer role builds new Python code for analytics capabilities and reporting content for Aetna’s Reporting Solutions team. The work focuses on healthcare data, self-service analytics applications, and modernizing/automating analyses for internal and external stakeholders.

  • Leverage Python to develop reporting and analytics using healthcare data
  • Create self-service business applications using Plotly Dash Enterprise
  • Drive enterprise modernization using Python and cloud-native technologies
  • Refactor legacy code to improve turnaround-times
  • Monitor and maintain production processes and applications

You will develop reporting and analytics using Python and SQL in a data warehouse environment, working with large datasets from multiple data sources. The role includes building self-service applications with Plotly Dash Enterprise, refactoring legacy code for faster turnaround, and supporting production processes.

The ideal candidate is a lead-level data engineering professional with 3+ years building production Python analytics and reporting solutions, including SQL development in a data warehouse environment. They are comfortable developing self-service analytics applications using Plotly Dash Enterprise and driving modernization by refactoring legacy code and using cloud-native technologies.

3+ years of experience with a Python Data Engineering Stack in a professional environment3+ Experience with SQL query developmentWorking in a data warehouse environmentAbility to work with large data sets from multiple data sourcesProficiency in usage of the
Plotly Dash Enterpriseenterprise modernization using Python and cloud-native technologiesRefactoring legacy programming code
PythonSQLPlotly Dash Enterprise
PythonSQL query developmentdata warehouselarge data setsmultiple data sourcesPlotly Dash Enterprisehealthcare data (medicalpharmacylab)reporting and analyticsself-service analytics applicationsenterprise modernizationcloud-native technologiesrefactoring legacy programming codeproduction process monitoringmentoring
PythonSQL query developmentdata warehouse environmentlarge data sets from multiple data sourcesPlotly Dash Enterprisehealthcare data (medicalpharmacylab)healthcare analytics and reportingclinical or analytic solutionsenterprise modernizationcloud-native technologiesrefactoring legacy programming codeproduction process monitoring and maintenanceanalytics automationself-service analytics application developmentmentoring and knowledge sharing
communication with key stakeholdersconsultative approachmentoringknowledge sharingability to take initiativeactionable communicationcollaboration
Industry Healthcare & Medical
Job Function Design and develop Python-based healthcare analytics and reporting capabilities.
Role Subtype Data Engineer
Tech Domains Python, SQL / PostgreSQL, Data & Analytics, Plotly
Lead Python DeveloperPythonSQL query developmentdata warehousedata engineeringPython Data Engineering Stacklarge data setsmultiple data sourcesPlotly Dash Enterprisereporting and analyticshealthcare datamedicalpharmacylabenterprise modernizationcloud-native technologiesrefactor legacy programming codeproduction processesself-service fashionAetnaSales Enablementhealth care analytics and reportingclinical or analytic solutions

Must have 3+ years of experience with a Python Data Engineering Stack in a professional environment, Must have 3+ years of SQL query development in a data warehouse environment

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